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Добірка наукової літератури з теми "Personalised exercise"

Автор: Grafiati

Опубліковано: 23 травня 2025

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Статті в журналах з теми "Personalised exercise"

García-Estela, Aitana, Natalia Angarita-Osorio, Sandra Alonso, Maria Polo, Maria Roldán-Berengué, Monique Messaggi-Sartor, Estanislao Mur-Mila, et al. "Improving Depressive Symptoms through Personalised Exercise and Activation (IDEA): Study Protocol for a Randomised Controlled Trial." International Journal of Environmental Research and Public Health 18, no. 12 (June 10, 2021): 6306. http://dx.doi.org/10.3390/ijerph18126306.

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Individuals who suffer from depressive symptoms experience a substantial impact on psychosocial functioning, physical health, mortality, and quality of life. In the search for therapeutic strategies, exercise has been found to play a relevant part in its treatment. However, the promotion of exercise entails adherence difficulties that arose out of the tendency towards sedentarism led by symptomatology. Personalised exercise plans on top of usual care have the potential to enhance behavioural changes and mental health. The present study aims at evaluating the changes in functioning deriving from a blended intervention merging a psychological intervention with a personalised exercise programme based on medical assessment. We will conduct a three-arm randomised controlled trial in which 172 participants suffering from mild–moderate depressive symptoms will be allocated to Intervention A (personalised exercise group programme + app with motivational messages), B (personalised exercise group programme + app with no motivational messages) or control group (app with no motivational messages). Data regarding global functioning, well-being, symptoms, physical activity, and exercise capacity will be collected at baseline, 4, 12, and 36 weeks. The results of this trial will provide information about whether this physical activity support programme may be efficient for improving mental and physical health outcomes. Trial registration: ClinicalTrials.gov NCT04857944 (accessed on 15 April 2021). Registered April 2021.

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Rodgers, Geraldine, Anne Mottley, and Diana Hodgins. "Novel Digital Gait Kinematic Solution to Improve Frailty." Journal of Biomedical Engineering and Medical Imaging 7, no. 5 (October 31, 2020): 01–10. http://dx.doi.org/10.14738/jbemi.75.8894.

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Introduction: Frailty effects a person’s health and correlates with mobility and falls. Intervention studies that focus on exercise have demonstrated improved mobility and functional ability in some frailty groups. This study tested a personalised intervention programme automatically generated from digital gait data on frail older people under the care of the North East London Foundation Trust, Community Hospital setting. Methods: One hundred and twenty one people, average age 79, who suffered an injurious fall and were under the care of the Community Hospital, completed the personalised intervention programme. Objective gait kinematic data, obtained using GaitSmartTM automatically generated a personalised exercise programme. Each participant received four tests, approximately 3 weeks apart and was provided with a copy of their report plus personalised exercises. Frailty was measured using the Edmonton Frailty Scale (EFS), fear of falling was measured using the Falls Efficacy Scale-International (FES-I) and speed was determined from the gait data (GS). Results: Five parameters were analysed for all 121 participants at the start and end of the intervention: EFS; FES-I; GS; speed; walking aid. There was a statistically significance between the start and end (p<0.001) for all the parameters. Conclusion: The results demonstrate that addressing frailty using a digital gait solution that sets exercises based on the gait kinematic data, did reverse frailty. This four session programme has shown to improve frailty levels and fear of falling. It also reduced the reliance on walking aids and increased average walking speed from 0.46 to 0.62 m/s.

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Jones, Helen, Keith P. George, Andrew Scott, John P. Buckley, Paula M. Watson, David L. Oxborough, Dick H. Thijssen, et al. "Charter to establish clinical exercise physiology as a recognised allied health profession in the UK: a call to action." BMJ Open Sport & Exercise Medicine 7, no. 3 (September 2021): e001158. http://dx.doi.org/10.1136/bmjsem-2021-001158.

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The UK population is growing, ageing and becoming increasingly inactive and unfit. Personalised and targeted exercise interventions are beneficial for ageing and the management of chronic and complex conditions. Increasing the uptake of effective exercise and physical activity (PA) interventions is vital to support a healthier society and decrease healthcare costs. Current strategies for exercise and PA at a population level mostly involve self-directed exercise pathways, delivered largely via the fitness industry. Even for those who opt-in and manage to achieve the current recommendations regarding minimum PA, this generic ‘one-size-fits-all’ approach often fails to demonstrate meaningful physiological and health benefits. Personalised exercise prescription and appropriate exercise testing, monitoring and progression of interventions for individuals with chronic disease should be provided by appropriately trained and recognised exercise healthcare professionals, educated in the cognate disciplines of exercise science (eg, physiology, biomechanics, motor control, psychology). This workforce has operated for >20 years in the Australian public and private healthcare systems. Accredited exercise physiologists (AEPs) are recognised allied health professionals, with demonstrable health and economic benefits. AEPs have knowledge of the risks and benefits of distinct forms of exercise, skills in the personalised prescription and optimal delivery of exercise, and competencies to support sustained PA behavioural change, based on the established scientific evidence. In this charter, we propose a road map for the training, accreditation and promotion of a clinical exercise physiology profession in the UK.

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Costa, Angelo, Ester Martinez-Martin, Miguel Cazorla, and Vicente Julian. "PHAROS—PHysical Assistant RObot System." Sensors 18, no. 8 (August 11, 2018): 2633. http://dx.doi.org/10.3390/s18082633.

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The great demographic change leading to an ageing society demands technological solutions to satisfy the increasing varied elderly needs. This paper presents PHAROS, an interactive robot system that recommends and monitors physical exercises designed for the elderly. The aim of PHAROS is to be a friendly elderly companion that periodically suggests personalised physical activities, promoting healthy living and active ageing. Here, it is presented the PHAROS architecture, components and experimental results. The architecture has three main strands: a Pepper robot, that interacts with the users and records their exercises performance; the Human Exercise Recognition, that uses the Pepper recorded information to classify the exercise performed using Deep Leaning methods; and the Recommender, a smart-decision maker that schedules periodically personalised physical exercises in the users’ agenda. The experimental results show a high accuracy in terms of detecting and classifying the physical exercises (97.35%) done by 7 persons. Furthermore, we have implemented a novel procedure of rating exercises on the recommendation algorithm. It closely follows the users’ health status (poor performance may reveal health problems) and adapts the suggestions to it. The history may be used to access the physical condition of the user, revealing underlying problems that may be impossible to see otherwise.

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Tuka, Vladimír, and Aleš Linhart. "Personalised exercise prescription: Finding the best for our patients." European Journal of Preventive Cardiology 27, no. 13 (October 22, 2019): 1366–68. http://dx.doi.org/10.1177/2047487319884376.

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Gevaert, Andreas B., Volker Adams, Martin Bahls, T. Scott Bowen, Veronique Cornelissen, Marcus Dörr, Dominique Hansen, et al. "Towards a personalised approach in exercise-based cardiovascular rehabilitation: How can translational research help? A ‘call to action’ from the Section on Secondary Prevention and Cardiac Rehabilitation of the European Association of Preventive Cardiology." European Journal of Preventive Cardiology 27, no. 13 (October 4, 2019): 1369–85. http://dx.doi.org/10.1177/2047487319877716.

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The benefit of regular physical activity and exercise training for the prevention of cardiovascular and metabolic diseases is undisputed. Many molecular mechanisms mediating exercise effects have been deciphered. Personalised exercise prescription can help patients in achieving their individual greatest benefit from an exercise-based cardiovascular rehabilitation programme. Yet, we still struggle to provide truly personalised exercise prescriptions to our patients. In this position paper, we address novel basic and translational research concepts that can help us understand the principles underlying the inter-individual differences in the response to exercise, and identify early on who would most likely benefit from which exercise intervention. This includes hereditary, non-hereditary and sex-specific concepts. Recent insights have helped us to take on a more holistic view, integrating exercise-mediated molecular mechanisms with those influenced by metabolism and immunity. Unfortunately, while the outline is recognisable, many details are still lacking to turn the understanding of a concept into a roadmap ready to be used in clinical routine. This position paper therefore also investigates perspectives on how the advent of ‘big data’ and the use of animal models could help unravel inter-individual responses to exercise parameters and thus influence hypothesis-building for translational research in exercise-based cardiovascular rehabilitation.

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Martínez-Rodríguez, Alejandro, Daniela Alejandra Loaiza-Martínez, Javier Sánchez-Sánchez, Jacobo Á. Rubio-Arias, Fernando Alacid, Soledad Prats-Moya, María Martínez-Olcina, Rodrigo Yáñez-Sepúlveda, and Pablo J. Marcos-Pardo. "Personalised Nutritional Plan and Resistance Exercise Program to Improve Health Parameters in Celiac Women." Foods 11, no. 20 (October 17, 2022): 3238. http://dx.doi.org/10.3390/foods11203238.

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Celiac disease (CD) is a permanent immune reaction to gluten in those with a genetic predisposition. This study was designed to evaluate menopause-associated symptoms, mood, bone quality, and IgA antibody levels in women with CD, untreated and treated with a gluten-free diet (GFD), and with or without resistance exercise. The randomised controlled trial was conducted on 28 Spanish women (>40 years old). Participants were divided into the following intervention groups: personalised gluten-free nutrition plan + exercise (GFD + E); personalised gluten-free nutrition plan (GFD); celiac controls (NO-GFD); and non-celiac controls (CONTROL). The participants responded to the Menopause Rating Scale and the Profile of Mood States (POMS) questionnaires. Bone quality was measured with ultrasound and IgA with a blood test. After 12 weeks of intervention, the GFD + E group showed significant improvement in urogenital symptoms and scored higher on the ‘vigour’ subscale of the POMS. Negative associations were found between the total score on the Menopause Rating Scale and the ‘vigour’ subscale of the POMS questionnaire. Only those women who underwent a personalised GFD nutritional intervention combined with resistance exercise demonstrated significant changes after the intervention.

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Ulrich, Cornelia M., Caroline Himbert, Kenneth Boucher, David W. Wetter, Rachel Hess, Jaewhan Kim, Kelly Lundberg, et al. "Precision-Exercise-Prescription in patients with lung cancer undergoing surgery: rationale and design of the PEP study trial." BMJ Open 8, no. 12 (December 2018): e024672. http://dx.doi.org/10.1136/bmjopen-2018-024672.

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IntroductionLung cancer is a significant burden on societies worldwide, and the most common cause of death in patients with cancer overall. Exercise intervention studies in patients with lung cancer have consistently shown benefits with respect to physical and emotional functioning. However, to date, exercise training has not been consistently implemented into clinical practice given that interventions have been costly and not aligned with clinical care.Methods/designThe Precision-Exercise-Prescription (PEP) study is a prospective randomised controlled trial comparing the effectiveness and feasibility of a personalised intervention exercise programme among patients with lung cancer undergoing surgery. Two-hundred patients who are diagnosed with stage primary or secondary lung cancer and are eligible to undergo surgical treatment at Huntsman Cancer Institute comprise the target population. Patients are randomised to either the (1) outpatient precision-exercise intervention group or (2) delayed intervention group. The intervention approach uses Motivation and Problem Solving, a hybrid behavioural treatment based on motivational interviewing and practical problem solving. The dosage of the exercise intervention is personalised based on the individual’s Activity Measure for Post-Acute-Care outpatient basic mobility score, and incorporates four exercise modes: mobility, callisthenics, aerobic and resistance. Exercise is implemented by physical therapists at study visits from presurgery until 6 months postsurgery. The primary endpoint is the level of physical function assessed by 6 min walk distance at 2 months postsurgery. Secondary outcomes include patient-reported outcomes (eg, quality of life, fatigue and self-efficacy) and other clinical outcomes, including length of stay, complications, readmission, pulmonary function and treatment-related costs up to 6 months postsurgery.Ethics/disseminationThe PEP study will test the clinical effectiveness and feasibility of a personalised exercise intervention in patients with lung cancer undergoing surgery. Outcomes of this clinical trial will be presented at national and international conferences and symposia and will be published in international, peer-reviewed journals. Ethics approval was obtained at the University of Utah (IRB 00104671).Trial registration numberNCT03306992.

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Lv, Pin, Xiaoxin Wang, Jia Xu, and Junbin Wang. "Intelligent personalised exercise recommendation: A weighted knowledge graph‐based approach." Computer Applications in Engineering Education 29, no. 5 (February 15, 2021): 1403–19. http://dx.doi.org/10.1002/cae.22395.

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Dedov, V., and I. Dedova. "Expressing personalised exercise doses in the daily energy expenditure equivalents." Journal of Science and Medicine in Sport 18 (December 2014): e34. http://dx.doi.org/10.1016/j.jsams.2014.11.220.

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Більше джерел

Дисертації з теми "Personalised exercise"

Needham, Elise. "Personalised phosphoproteomics of skeletal muscle metabolism." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28191.

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Protein phosphorylation dynamically integrates environmental and intracellular information to control virtually all biological processes. Challenges in determining the upstream regulation and downstream effects of phosphorylation obscures our functional understanding of cellular communication. In this thesis, I developed approaches to contextualise and prioritise phosphorylation events, focusing on the dynamic regulation of skeletal muscle metabolism by insulin and exercise. I measured phosphoproteomes of an in vitro panel of exercise-like stimuli to dissect upstream influences on exercise signalling. My integrative analysis with acute exercise phosphoproteomes revealed that emergent outcomes like protein secretion require concurrent kinase activation by distinct stimuli. To address the challenge of prioritising phosphosites with downstream functions most crucial to a biological phenomenon, I developed personalised phosphoproteomics. This experimental and computational framework identifies functionally enriched signalling by utilising human biological variance. To employ this method, I performed two independent phosphoproteomics studies investigating how exercise potentiates insulin sensitivity and how insulin resistance impacts metabolism in human skeletal muscle. My approach identified signalling on both known and previously unidentified sites on proteins intimately involved in glucose metabolism. This included a new co-operative relationship between mTOR and AMPK, for which I found a role in metabolic regulation. Collectively, these studies delineated skeletal muscle signalling responses and established personalised phosphoproteomics as a general approach to investigate the signal transduction underlying complex biology.

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Deshpande, Kedar Shriram. "Barriers, perspectives, and interventions of exercise for patients with metabolic dysfunction-associated steatotic liver disease." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2025. https://ro.ecu.edu.au/theses/2924.

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Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease globally. Exercise is essential for MASLD management; however, many MASLD patients lack opportunities to exercise and lead active lives. This thesis project: i) evaluated exercise-related barriers and determined patient awareness of exercise's necessity for MASLD management (Study 1); ii) assessed patient attitudes toward exercise and awareness of MASLD through a qualitative analysis of interviews with MASLD patients (Study 2); iii) presented a case study of a 65-year-old female who improved her metabolic health through lifestyle changes, emphasizing exercise and diet (Study 3); and iv) evaluated liver function, metabolic indicators, and health-related quality of life in people with MASLD following an 8-week online, body-weight eccentric exercise intervention. Study 1: A survey on exercise habits, barriers to adherence, and awareness of exercise's effect on MASLD was sent to eighty-one patients at a hepatology outpatient clinic. Results indicated that 73% did not meet the exercise recommendation of 150 minutes of moderate exercise per week, and 54% were unaware that exercise could help with MASLD. Reported barriers included poor physical and mental well-being (57%), limited time (43%), apathy (31%), and fatigue from exercising (24%). These results point to specific barriers requiring intervention and education and suggest future exercise program settings that account for time limitations, fatigue, and attitudes toward exercise. Study 2: A thematic analysis of interviews with 18 MASLD patients revealed high awareness of the condition but low awareness of treatment via exercise. Patients expressed a preference for low-intensity, low-accessibility activities like walking, bodyweight, and resistance training. This study highlights the necessity of matching exercise options to patient preferences, ensuring feasibility for long-term adherence. Study 3: A qualitative single-patient case study assessed obstacles and facilitators to sustained lifestyle changes, demonstrating how holistic, inclusive lifestyle adjustments can impact MASLD. This intervention showed that with adequate instruction and support, the patient could make meaningful changes, reflecting how a customized approach can empower patients to manage symptoms effectively. Study 4: Sixteen participants were divided into an exercise group (n=9) and a non-exercise control group (n=7). The exercise group completed a supervised, progressive web-based body-weight eccentric exercise program for eight weeks. Participants in the exercise group showed significant improvements in hepatic steatosis severity (13.2±13.8%), waist circumference (4.4±13.5%), hip circumference (2.6±11.1%), and gamma-glutamyl transferase levels (23.9±30.0%). They also demonstrated enhanced (p < 0.05) physical fitness, including improvements in the sit-to-stand test (24.3±33.2%), 3-metre timed up and go test (-15.6±16.4%), 2-minute step test (37.5±20.5%), and single-leg balance test (25.1±37.6%). These findings suggest that home-based, web-delivered eccentric resistance exercises are an effective intervention for improving liver and metabolic health in patients with MASLD. Overall, the findings from these four studies contribute to a deeper understanding of the barriers, perspectives, and effective interventions for exercise in MASLD patients. The research underscores the need for greater awareness of exercise's role in MASLD management and the importance of addressing patient-specific barriers through tailored interventions. The novel web-based bodyweight eccentric exercise program shows significant potential for improving liver health and physical fitness in this population, addressing key obstacles like time constraints, fatigue, and accessibility. Future interventions should focus on increasing patient education and providing flexible, personalized exercise options to promote long-term adherence and better health outcomes in MASLD management.

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Webb, Catherine. "Estimating VO2max Using a Personalized Step Test." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3526.

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The purpose of this study was to develop a personalized step test and a valid regression model that used non-exercise data and data collected during the step test to estimate VO2max in males and females 18 to 30 years of age. All participants (N= 80) successfully completed a step test with the starting step rate and step height being determined by the self-reported perceived functional ability (PFA) score and participant's height, respectively. All participants completed a maximal graded exercise test (GXT) to measure VO2max. Multiple linear regression analysis yielded the following equation (R = 0.90, SEE = 3.43 mL/kg/min): 45.938 + 9.253(G) - 0.140(KG) + 0.670(PFA) + 0.429(FSR) - 0.149(45sRHR) to predict VO2max (mL/kg/min) where: G is gender (0=female;1=male), KG is body mass in kg, PFA is the sum of the two PFA questions, FSR is the final step rate (step-ups/min), and 45sRHR is the recovery heart rate 45 seconds following the conclusion of the step test. Each independent variable was significant (p < 0.05) in predicting VO2max and the resulting regression equation accounted for roughly 83% (R2=0.8281) of the shared variance of measured VO2max. Based on the standardized B-weights, gender (0.606) explained the largest proportion of variance in VO2max values followed by PFA (0.315), body mass (-0.256), FSR (-0.248), and the 45sRHR (-0.238). The cross validation statistics (RPRESS = 0.88, SEEPRESS = 3.57 (mL/kg/min-1) show minimal shrinkage in the accuracy of the regression model. This study presents a relatively accurate model to predict VO2max from a submaximal step test that is convenient, easy to administer, and individualized.

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Boosabaduge, Prasad Priyadarshana Fernando. "Hybrid Recommender System Architecture for Personalized Wellness Management." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1457107427.

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Pidaparthy, Hemanth. "Recognizing and Detecting Errors in Exercises using Kinect Skeleton Data." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1430912344.

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Yaffe, Donna M. "Increasing physical exercise among older adults : the effects of information, peer-modelling, personalized planning, and commitment-making /." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02132009-171659/.

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Lombard, David Neubauer. "Improving exercise adoption : the effects of social support, personalized goal setting and feedback and prompting in a community walking program /." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-145000/.

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Edeiotoh, Emmanuel Kossi. "La valeur perçue du marketing one-to-one versus one-to-few sur la motivation et la fidélité du consommateur de fitness : e-Coaching de l'exercice pour la santé : comparaison des cas français et américain." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA113008.

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Le problème de la sédentarité représente aujourd’hui un des grands enjeux mondiaux et est considéré par l’OMS et l’ONU comme la première cause de mortalité liée aux maladies non transmissibles. Dans le même temps, bien que l’exercice physique se soit révélé comme la meilleure parade contre ces maux, la plupart des consommateurs évoquent une série de freins pour adopter sa pratique régulière.L’objet de cette thèse est de proposer des approches alternatives basées sur le concept de la valeur perçue en marketing qui s’est révélé dans le cas des autres types de biens et services comme un élément permettant de motiver et de fidéliser les consommateurs.Nous avons abordé les sources de la valeur perçue par le consommateur dans le cas du marketing de la personnalisation, du marketing communautaire et du marketing expérientiel dont nous avons intégré les différentes facettes dans une approche combinatoire pour proposer la notion de composante de l’exercice en tant que trade-off entre les coûts et les bénéfices.Nous avons également validé que, d’une part, les valeurs perçues des différentes composantes liées à la pratique de l’exercice se combinaient pour former la valeur globale perçue de l’exercice, et que, d’autre part, celle-ci influençait in fine l’intention de pratiquer régulièrement l’exercice et de le recommander.Les résultats de la recherche nous ont permis de suggérer que l’offre d’exercice devrait être proposée comme un menu à la carte afin de faciliter le processus décisionnel des consommateurs et ainsi les motiver et les fidéliser à la pratique
Nowadays, the problem of physical inactivity is one of the major global issues and it is considered by the WHO and the UN as the leading cause of mortality due to non-communicable diseases. At the same time, although the physical exercise has proven to be the best way to fight against these sicknesses, most of the consumers evoke a series of barriers against the adoption of regular exercise.The purpose of this thesis is to propose alternative approaches based on the concept of perceived value in marketing which has proven to be a good tool to motivate and retain consumers in the frame of other types of goods and services.We focused on the sources of consumer perceived value in personalized marketing, community marketing and experiential marketing, the aspects of which were integrated in a combinatorial approach, the aim of this method being to propose the concept of the exercise composite variable as a trade-off between costs and benefits.We confirmed that the perceived values of the different composites of the practice of exercise combined to form the overall perceived value of the exercise. In addition, we also confirmed that this overall perceived value of the exercise ultimately influenced the consumer’s intent to practice regular exercise and to recommend it.The results of this research allowed us to suggest that the offer of exercise should be made as à la carte menu in order to facilitate consumers’ decision-making process and so to motivate and to retain them

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Lingam, Varatharajan. "Effects of Generic Group-Based Versus Personalized Individual-Based Exercise Programs on Balance, Gait, and Functional Performance of Older Adults with Mild Balance Dysfunction and Living in Residential Care Facilities - A Randomized Controlled Trial." Diss., NSUWorks, 2019. https://nsuworks.nova.edu/hpd_pt_stuetd/82.

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Background and Purpose: To investigate the effect of an individualized exercise program versus a generic group-based exercise program on balance, gait, and functional performance of older adults categorized as having mild balance dysfunction and living in residential care facilities. Methods: Single blind randomized control design. One hundred-twenty residents fulfilled screening criteria for mild balance dysfunction based on the BioSwayTM balance and the Multi-Directional Reach Test (MDRT) primary outcome measures. Secondary assessment was completed using the Modified Physical Performance Test (PPT), hand-held dynamometer (lower-limb muscle strength testing), and gait speed analysis. Sixty subjects received individualized treatment from physical therapists (8 weeks). Another sixty subjects received generic group-based exercises (8 weeks). All outcome measures were collected at baseline and post-intervention (ninth week); and BioSwayTM and PPT measures at follow-up (thirteenth week) for the individualized group. Results: Individualized group (n=60) showed significant improvement compared to the group-based group (n=60) on the two BioSwayTM scores (limits of stability, p < .001; and postural stability, p = .016), the MDRT scores (forward reach, p < .001; backward reach, p = .007; right lateral reach, p < .001; and left lateral reach p < .001), the strength scores (hip flexors, p = .010; knee extensors, p = .002; hip abductors, p = .009; and ankle dorsiflexors, p = .025), the PPT outcomes (p < .001), and the gait scores (p = .012). Effect sizes ranged from small to large, with the largest sizes for limits of stability and MDRT. There were no significant differences between groups for the mCTSIB (p = .538). However, 96.7% of subjects in the individualized group scored within one SD of the reference mean, relative to 75% in the group-based group. At follow-up, the individualized group showed significant differences over time with medium to large effect sizes on the PPT (p < .001), limits of stability (p < .001), postural stability (p < .001), and mCTSIB (p = .005) measures. Post-hoc analysis revealed retention of gains for all measures at follow-up, except the mCTSIB. Conclusion: The individualized group showed significant improvements in the areas of balance, strength, mobility, and functional outcomes.

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Avina, Bravo Eli Gabriel. "Conception, développement et validation d'un système intelligent de mesure physiologique et biomécanique embarqué : Vélo à assistance électrique avec IA pour les interventions thérapeutiques et la prévention santé." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEI003.

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Selon les projections de l'Organisation mondiale de la santé (OMS), il est estimé qu'en 2050, plus de 22 % de la population mondiale aura 60 ans ou plus. Cette évolution démographique s'accompagne d'une prévalence croissante des maladies chroniques. En France, une personne sur quatre souffre actuellement d'une maladie chronique, un chiffre qui atteint trois personnes sur quatre chez les personnes âgées de 65 ans et plus. Ces maladies contribuent de manière significative à la mortalité, représentant 74 % du nombre total de décès en 2019. Heureusement, bon nombre de ces affections peuvent être prévenues ou retardées en suivant les recommandations d'activité physique de l'OMS. De nombreuses études ont démontré l'impact profond de l'activité physique sur la prolongation de l'espérance de vie et l'amélioration de la qualité de vie de la population. Dans cette optique, les objectifs de recherche de cette étude s'inscrivent dans le domaine de la Gestion de la santé prédictive (PHM) et de la prescription du sport, en mettant l'accent sur le parcours de soins des patients atteints de maladies chroniques. Cependant, la modalité précise du contrôle, en particulier le mécanisme de rétroaction concernant le comportement des individus pendant l'activité physique, reste à déterminer. Pour relever ce défi, le projet propose la mise en place d'un dispositif médical connecté, spécifiquement un vélo à assistance électrique intégré à une intelligence artificielle embarquée. Cette combinaison vise à recueillir des données et à contribuer à la prévention des pathologies chroniques chez les individus. L'effort scientifique principal consiste à concevoir et intégrer une architecture matérielle et logicielle innovante et adaptable, en incorporant des capteurs de pointe utilisant une technologie flexible. Ce cadre permet la surveillance à la fois des cyclistes occasionnels et expérimentés pendant leur pratique, en permettant un contrôle intelligent du niveau d'assistance électrique et la mise en œuvre d'instructions médicales basées sur des évaluations médicales préalables
According to projections by the World Health Organization (WHO), it is estimated that by 2050, more than 22% of the global population will be aged 60 years or older. This demographic shift is accompanied by a growing prevalence of chronic diseases. In France, one in four individuals currently suffers from a chronic condition, a proportion that rises to three out of four among those aged 65 and above. These diseases significantly contribute to mortality, accounting for 74% of total deaths in 2019. Fortunately, many of these conditions can be prevented or delayed by adhering to the physical activity recommendations provided by the WHO. Extensive research has demonstrated the profound impact of physical activity on prolonging lifespan and enhancing overall quality of life across populations. With this perspective in mind, the research objectives of this study lie within the realm of Prognosis Health Management (PHM) and prescription sports, with a specific emphasis on the healthcare trajectory of patients with chronic conditions. However, the precise methodology for control, particularly the feedback mechanism pertaining to individuals' behavior during physical activity, remains to be delineated. To tackle this challenge, the project proposes the implementation of a connected medical device, specifically an electric-assisted bicycle integrated with embedded artificial intelligence. This combination aims to collect data and contribute to the prevention of chronic pathologies for individuals. The primary scientific endeavor entails designing and integrating an innovative and adaptable hardware and software architecture, incorporating state-of-the-art sensors that utilize flexible technology. This framework facilitates the monitoring of both occasional and experienced cyclists during their practice, enabling intelligent control of the level of electrical assistance and the implementation of medical instructions based on prior medical assessments

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Книги з теми "Personalised exercise"

Society, College. Olivia: Personalised College Gift for Girls Named Olivia Lined Exercise Book. Independently Published, 2019.

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Nomen Clature - Freddie Books. Freddie Got Vaccinated You're Welcome: Freddie Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Stefania Books. Stefania Got Vaccinated You're Welcome: Stefania Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Nora Books. Nora Got Vaccinated You're Welcome: Nora Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Simran Books. Simran Got Vaccinated You're Welcome: Simran Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Cecelia Books. Cecelia Got Vaccinated You're Welcome: Cecelia Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Cassius Books. Cassius Got Vaccinated You're Welcome: Cassius Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Maximilian Books. Maximilian Got Vaccinated You're Welcome: Maximilian Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Daphne Books. Daphne Got Vaccinated You're Welcome: Daphne Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Nomen Clature - Margaret Books. Margaret Got Vaccinated You're Welcome: Margaret Personalised Custom Name - Vaccine Pride Themed Workbook / Notebook / Exercise Book - 8. 5x11 - Super Jab Theme. Independently Published, 2021.

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Частини книг з теми "Personalised exercise"

Harris, Sital. "Nutrition and Exercise: A Personalised Approach." In The Art and Science of Personalising Care with Older People with Diabetes, 81–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74360-8_5.

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Wijekoon, Anjana, and Nirmalie Wiratunga. "Evaluating the Transferability of Personalised Exercise Recognition Models." In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 32–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48791-1_3.

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Bellamy, Daniel Delgado, and Praminda Caleb-Solly. "Collaborative HRI and Machine Learning for Constructing Personalised Physical Exercise Databases." In Towards Autonomous Robotic Systems, 209–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23807-0_18.

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Wang, Jiao, Li Shen, Yuxin Zhang, and Bairong Shen. "Circadian Rhythm and Personalized Exercise." In Translational Informatics, 99–122. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9162-1_6.

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Kang, Sun Young, Kyung OcK Yi, Seung Ae Kang, and Ae Hyun Lee. "Personalized Exercise Prescription Utilizing Virtual Fitness." In Lecture Notes in Electrical Engineering, 1453–58. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0557-2_139.

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Ren, Shumin, and Bairong Shen. "Participatory Exercise Medicine and Personalized Healthcare." In Translational Informatics, 17–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9162-1_2.

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Yildiz, Abdurrahim. "Gamification and Mobile Apps for Rehabilitation." In Complementary Medicine with New Approaches, 51–67. Istanbul: Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359418.5.

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The integration of gamification and mobile apps in rehabilitation offers a promising approach to enhance patient engagement and improve outcomes in physical therapy. Gamification, which involves incorporating game design elements into non-game contexts, has been shown to motivate patients by making rehabilitation exercises more engaging and enjoyable. Techniques such as immersive games, point systems, and personalized progress tracking can help reduce hospital stays and encourage self-management. Mobile apps further complement these efforts by providing convenient, flexible, and interactive platforms for delivering tailored home exercise programs, monitoring patient adherence, and offering educational resources. These digital tools not only support patients in their rehabilitation journey but also facilitate remote communication and monitoring by healthcare providers, ultimately contributing to more effective and efficient rehabilitation processes.

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Li, Yinghui, and Hengbin Yan. "Summarization Exercises and Interpreting Performance in Blended Interpreting Training." In Blended Learning: Educational Innovation for Personalized Learning, 117–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21562-0_10.

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Lin, Yu-Feng, Cheng-Hao Chu, Bo-Hau Lin, Yi-Ching Yang, Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, and Kuen-Rong Lo. "A Framework for Personalized Diet and Exercise Guideline Recommendation." In Technologies and Applications of Artificial Intelligence, 274–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13987-6_26.

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Thomas, N. Luke, Yingzi Du, Tron Artavatkun, and Jin-hua She. "Non-intrusive Personalized Mental Workload Evaluation for Exercise Intensity Measure." In Digital Human Modeling, 315–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02809-0_34.

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Тези доповідей конференцій з теми "Personalised exercise"

Kulkarni, Kiran S., Darvesh Bansal, Vandana Vijay Bhagat, and Ashaq Hussain Ganie. "SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545041.

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Dhangar, Aditya, Aman Jaiswal, Paras Sahu, Tanishka Saraswat, and Anju Gera. "Personalized Fitness Recommendation System Integrating Yoga, Physiotherapy Exercises and Tips." In 2025 3rd International Conference on Disruptive Technologies (ICDT), 255–60. IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986670.

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Balachander, K., K. Balasubadra, Bharat Tidke, Sree Southry S, B. Meenakshi, and S. Murugan. "AI-Enabled Muscle Oxygen Sensors for Personalized Exercise Intensity Monitoring and Recovery Analysis." In 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 1–6. IEEE, 2025. https://doi.org/10.1109/icaect63952.2025.10958953.

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Mahroo, Atieh, Vera Colombo, Daniele Spoladore, and Marco Sacco. "Leveraging Machine Learning for Physical Exercise Recommendation Based on Heart Rate: Older Adults Personalized Training." In 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 73–78. IEEE, 2024. http://dx.doi.org/10.1109/rtsi61910.2024.10761362.

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Ilukpitiya, I. M. D. J. R. B., H. M. R. B. Herath, R. H. M. S. A. Rajakaruna, M. H. S. M. Herath, Koliya Pulasinghe, and Jenny Krishara. "AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback." In 2024 International Conference on Computer and Applications (ICCA), 01–06. IEEE, 2024. https://doi.org/10.1109/icca62237.2024.10928121.

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Holmes, Dominic, Darryl Charles, Philip Morrow, Sally McClean, and Suzanne McDonough. "Rehabilitation Game Model for Personalised Exercise." In 2015 International Conference on Interactive Technologies and Games (iTAG). IEEE, 2015. http://dx.doi.org/10.1109/itag.2015.11.

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McNamara, Renae, Lingling Tsai, Mary Santos, and Jennifer Alison. "Improving pulmonary rehabilitation completion with personalised exercise and education modules: the PuReMod trial." In ERS International Congress 2020 abstracts. European Respiratory Society, 2020. http://dx.doi.org/10.1183/13993003.congress-2020.895.

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Marques, Ana, Maria Inês Pires, and Jo Dias. "Traditional vs. Personalised Teaching: An experimental study on AI's role in education." In 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005946.

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One of the major challenges in education is ensuring student success for most learners through quality teaching. However, creating an inclusive education system that addresses student heterogeneity is difficult when applying the same curricular standard.In most education systems, standardized teaching is the dominant pedagogical approach, characterized by minimal differentiation and a repetitive program applied over years (Perrenoud, 1978). This homogeneity, although practical, often neglects individual differences, limiting each student’s learning potential. \"All students learn in different ways and more effectively when learning circumstances align with their preferred approach\" (Hockett, 2018).Luckin and Holmes (2016) argue that individual human tutoring can be the most effective approach to teaching and learning. Unfortunately, it’s unsustainable: it’s not possible to provide one teacher per student.Therefore, how can teachers provide personalized teaching? Could AI be a tool for personalization? And could it also contribute to a positive shift in the role of the teacher, positioning them as a cornerstone of teaching?Chen, Xie et al. (2020) observe that studies on Artificial Intelligence in Education (AIEd) have increased significantly, especially regarding content personalization. Maghsudi et al. (2021) state that the goal of personalized teaching is to achieve effective knowledge acquisition aligned with student's strengths and overcome their weaknesses to reach the desired objective. Through the inclusion of AI in an educational platform, we can accurately acquire the student’s characteristics. This inclusion is achieved through observing the student’s history and past experiences, identifying patterns and similarities, and analyzing large volumes of data. The recommendation of appropriate content, a long-term curriculum, and the creation of accurate performance assessments can become a reality in education systems. This improves learning but also predicts areas where the student may struggle, providing personalized and real-time support.Thus, AIEd could fill current gaps in the education system, enabling teachers to create personalized learning for each student’s profile. As Luckin and Holmes (2016) suggest, AIEd could take over bureaucratic tasks currently assigned to teachers allowing them more time for creative and inherently human activities that are essential to elevating the quality of the learning process.This study aims to validate the effectiveness of these possibilities through a User Research method. To this end, and with a sample of elementary school students, a comparative performance study was conducted using traditional teaching methods and an AI-generated personalized teaching method.In the traditional teaching method, the same exercise was presented to all students, while in the AI-generated teaching method, a personalized exercise was presented according to each student's needs, characteristics, and learning level, with the same exercise being presented in completely different ways to each student.The results were analyzed qualitatively to assess the effectiveness of the AI-generated personalized teaching method.The study concluded that AIEd better aligns with students' educational needs, improving their development. Although the tests reveal promising developments for the future, technological and ethical barriers remain that must be addressed to ensure this approach is sustainable and inclusive across different educational contexts.References: Perrenoud, P. (1978). Das diferenças culturais às desigualdades escolares: a avaliação e a norma num ensino indiferenciado. In Allal, L., Cardinet, J., Perrenoud, P. (1986). A avaliação formativa num ensino diferenciado. Coimbra, Livraria Almedina, pp. 27-73.Hockett, J. A. (2018). Differentiation Strategies and Examples: Grades 6-12. Tennessee Department of Education. Alexandria, VA: ASCD.Luckin et al. (2016). Intelligence Unleashed: An argument for AI in Education. Pearson Education.Maghsudi, S., Lan, A., Xu, J.,e van Der Schaar, M. (2021). Personalized education in the artificial intelligence era: what to expect next. IEEE Signal Processing Magazine, 38(3), 37-50.Chen, X., Xie, H., Zou, D., e Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence.

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Rocha, José Claudio Casali da, Édipo Giovani França-Lara, Saulo Henrique Weber, Ricardo de Aurino Pinho, and Selene Elifio-Esposito. "APPLICATION OF A REMOTE, FULLY ORIENTED PERSONALIZED PROGRAM OF PHYSICAL EXERCISE FOR WOMEN IN FOLLOW-UP AFTER BREAST CANCER TREATMENT: EFFECTS ON BODY COMPOSITION AND PHYSICAL FITNESS." In Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2017.

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Objective: Getting back to regular physical activity soon after completing the treatment for breast cancer may be a challenge for most women. To assess the impact of physical exercise on physical fitness and body composition in women who have completed breast cancer treatment, we designed a personalized program of physical exercises, considering their individual basal physical activity levels. Methods: The prospective study included 107 women aged 18–60 years shortly after curative treatment for localized breast cancer. All participants were evaluated for cardiovascular morbidities, body composition, and exercise performance. After careful physical evaluation by a personal physical trainer, each woman was individually oriented on how to perform each exercise correctly and follow the program of nonsupervised exercises on their own at home, either indoor or outdoor. Women were motivated to adhere to personalized aerobic exercises, localized muscular strength/resistance, and flexibility exercises, considering individual capabilities and limitations. Evaluations including body composition, VO2max, and localized muscle resistance were performed preintervention (basal) and after 6 and 9 months of intervention. Results: Among all, 25.23% and 44.85% were fat or overweight, respectively, at the study entrance, and 21.49% reported doing physical exercise regularly; 78 women adhered to the training program (72.8%), and 29 chose not to adhere (27.2%). After 9 months of regular and individualized intervention, adherent women showed significantly better results in all variables of body composition and physical fitness: body mass (-4.38±3.67 kg; p0.05), as well as it was not influenced by breast cancer characteristics (e.g., histology, stage, and molecular subtypes) or treatment (e.g., mastectomy, axillary surgery, chemotherapy, or radiotherapy) (p>0.05). Conclusion: Our study reinforces that women in follow-up after breast cancer, regardless of body fatness or fitness, can adopt lifestyle measures to prevent a recurrence, and medical societies should include recommendations to promote physical activity early during surveillance.

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Roa Prada, Sebastián, and Duvan Smith Barreto Sosa. "Mechatronic System Design of a Ball Launcher Machine for Speed and Anticipation Training in Combat Sports." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112398.

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Abstract This research work presents the design and development of a ball throwing machine using the V-methodology. The machine aims to automate one of the most common exercises in martial arts for the development of anticipation speed. Samples were taken from different athletes performing the exercise to determine the response requirements of the machine. The design was then conceptualised based on the required movements and the different ways of solving them. The idea of a thrower with horizontal and vertical movement and ball speed was proposed. The dimensions were estimated based on trends in human proportions and commercial elements such as the ball, wheels, motors, gears, etc. Once the sketch was clear, the system was modelled using CAD software. The next step was to calculate the actuator requirements to meet the needs identified in the first stage. Based on these requirements, commercially available actuators were selected along with their respective operating modules. The construction material was selected and the appropriate assembly was carried out, giving the physical properties to the CAD model. The physical dimensions of the parts were calculated and a structural analysis of the parts was carried out, making the necessary adjustments so that the parts could withstand the static and dynamic loads of the system. The various subsystems were built and tested. Once the mechanical subsystems had been validated, general assembly was carried out and the tracking system was mounted. Calibration was performed on the mechanical system and the tracking system was tested with a laser, allowing real-time tracking to be compared with the generated model and the actual position of the body part being tracked. A user interface was implemented where the randomness of speed and launch times could be selected, and launches could be tracked to verify that they were as requested. This completed the full validation of the system. The functional model was used to observe possible improvements and factors affecting the performance of the machine. The proposed ball launch machine allows for variation in the trajectory, speed, frequency and randomness of ball launches, thus personalising the triggering action in the athlete’s training. In addition, the machine provides a training optimisation solution by automating an exercise that under normal conditions can be monotonous and ineffective depending on the expertise of the available training partner or lack thereof. The machine also allows for personalised training schedules and times, as the athlete can train alone.

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Звіти організацій з теми "Personalised exercise"

Dizon-Ross, Rebecca, and Ariel Zucker. Mechanism Design for Personalized Policy: A Field Experiment Incentivizing Exercise. Cambridge, MA: National Bureau of Economic Research, March 2025. https://doi.org/10.3386/w33624.

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Moeyaert, Mariola. Single-Case Experimental Design and Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/dqm958awo62hr469.

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This seminar will give you a strong working understanding of methods used to design and analyze single-case experimental design studies (i.e., n-of-1 trials, personalized trials, intrasubject, single-subjects, etc.), including the assumptions underlying these methods and their limitations as well as their benefits. Demonstrations using real datasets will be incorporated together with hand-on exercise so that you will learn both the basic logic of single-case experiments and how to use them in your own research. In-depth interpretation of the obtained results will be made. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.

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Moeyaert, Mariola. Single-Case Experimental Design and Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/kqxfa5c03bou9469.

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Arias Ortiz, Elena, Julian P. Cristia, Ofer Malamud, and Carolina Méndez. Promoting Technology Adoption in Schools: Preliminary Evidence from Peru. Inter-American Development Bank, August 2024. http://dx.doi.org/10.18235/0013123.

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This paper investigates the effectiveness of different interventions to promote teacher adoption and sustained use of a Computer-Assisted Learning (CAL) platform in public schools in Lima, Peru. The study evaluates three strategies: schoolwide workshops, targeted workshops for selected teachers, and a combination of workshops and personalized coaching. Using a large-scale randomized controlled trial involving low-performing schools, we find that all strategies significantly increased teacher registration and initial student engagement with the platform. Teachers who participated in workshops exhibited more than double the registration rates compared to the control group, and those who received both workshops and coaching demonstrated higher sustained use, as evidenced by a greater share of students connecting regularly and completing exercises. Spillover effects were important. Non-treated teachers in treated schools use the platform significantly more than control teachers. However, platform use declined markedly one year post-intervention, highlighting the necessity for continuous support.

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