Academic literature on the topic 'ADL-measuring'
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Journal articles on the topic "ADL-measuring"
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Chen, Pin-Wei, Nathan A. Baune, Igor Zwir, Jiayu Wang, Victoria Swamidass, and Alex W. K. Wong. "Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study." International Journal of Environmental Research and Public Health 18, no. 4 (February 9, 2021): 1634. http://dx.doi.org/10.3390/ijerph18041634.
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Measuring activities of daily living (ADLs) using wearable technologies may offer higher precision and granularity than the current clinical assessments for patients after stroke. This study aimed to develop and determine the accuracy of detecting different ADLs using machine-learning (ML) algorithms and wearable sensors. Eleven post-stroke patients participated in this pilot study at an ADL Simulation Lab across two study visits. We collected blocks of repeated activity (“atomic” activity) performance data to train our ML algorithms during one visit. We evaluated our ML algorithms using independent semi-naturalistic activity data collected at a separate session. We tested Decision Tree, Random Forest, Support Vector Machine (SVM), and eXtreme Gradient Boosting (XGBoost) for model development. XGBoost was the best classification model. We achieved 82% accuracy based on ten ADL tasks. With a model including seven tasks, accuracy improved to 90%. ADL tasks included chopping food, vacuuming, sweeping, spreading jam or butter, folding laundry, eating, brushing teeth, taking off/putting on a shirt, wiping a cupboard, and buttoning a shirt. Results provide preliminary evidence that ADL functioning can be predicted with adequate accuracy using wearable sensors and ML. The use of external validation (independent training and testing data sets) and semi-naturalistic testing data is a major strength of the study and a step closer to the long-term goal of ADL monitoring in real-world settings. Further investigation is needed to improve the ADL prediction accuracy, increase the number of tasks monitored, and test the model outside of a laboratory setting.
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Gobbens, Robbert J. "Associations of ADL and IADL disability with physical and mental dimensions of quality of life in people aged 75 years and older." PeerJ 6 (August 9, 2018): e5425. http://dx.doi.org/10.7717/peerj.5425.
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Background Quality of life is an important health outcome for older persons. It predicts the adverse outcomes of institutionalization and premature death. The aim of this cross-sectional study was to determine the influence of both disability in activities of daily living (ADL) and instrumental activities of daily living (IADL) on physical and mental dimensions of quality of life. Methods A total of 377 Dutch people aged 75 years and older completed a web-based questionnaire. This questionnaire contained the Groningen Activity Restriction Scale (GARS) for measuring ADL and IADL and the Short-Form Health Survey (SF-12) for measuring quality of life. The SF-12 distinguishes two dimensions of quality of life, a physical and mental dimension. Results All ADL disability items combined and all IADL disability items combined explained a significant part of the variance of the physical and the mental dimension of quality of life. Only ADL item “stand up from sitting in a chair”, and IADL items “do “heavy” household activities” and “do the shopping” were negatively associated with both quality of life dimensions after controlling for all the variables in the model. Discussion This study showed that disability in ADL and IADL is negatively associated with quality of life in older people. Therefore, it is important for health care professionals to carry out interventions aimed to prevent and diminish disability or the adverse outcomes of disability such as a lower quality of life. In order to be effective these interventions should be inexpensive, feasible, and easy to implement.
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Monjazebi, Fateme, Asghar Dalvandi, Abbas Ebadi, Hamid Reza Khankeh, Mehdi Rahgozar, and Jörg Richter. "Functional Status Assessment of COPD Based on Ability to Perform Daily Living Activities: A Systematic Review of Paper and Pencil Instruments." Global Journal of Health Science 8, no. 3 (August 6, 2015): 210. http://dx.doi.org/10.5539/gjhs.v8n3p210.
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<p><strong>CONTEXT: </strong>Activity of daily living (ADL) is an important predictor of mortality in patients with chronic obstructive pulmonary disease (COPD). Increasing ADL is important in patients with COPD and assessment of ADL is one of the best ways to evaluate the status of COPD patients.</p> <p><strong>OBJECTIVES: </strong>The objective of this systematic review was to provide an overview of the psychometric properties of paper and pencil instruments measuring ADL in patients with COPD.</p> <p><strong>DATA SOURCES:</strong> English papers published from 1980 to 2014 regarding ADL in patients with COPD were searched in Web of Science, MEDLINE, Google Scholar, Cochrane, PubMed, ProQuest, and CINAHL databases using the following keywords: “COPD”, “ADL”, “activities of daily living”, “daily activities”, “instrument”, “questionnaire”, “paper-and-pencil instruments”, and “measure”. Following the Internet search, manual search was also done to find article references.</p> <p><strong>STUDY SELECTION:</strong> A total of 186 articles were found. Of those, 31 met the inclusion criteria. Full texts of articles meeting the inclusion criteria were studied. Consensus-based standards for the selection of health measurement instruments<strong>"</strong>(COSMIN) were used to assess the quality of the studies.</p> <p><strong>DATA EXTRACTION:</strong> Data extraction form based on research aims developed by researchers and<strong> </strong>psychometric experts, with 17 questions was used.</p> <p><strong>RESULTS: </strong>In these articles, 14 pen and paper instruments were identified for examining ADL in patients with COPD; of which, 4 dealt directly with ADL while 9 assessed other criteria i.e. dyspnea as ADL indicator. The majority of instruments only dealt with two main dimensions of ADL: Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL), and did not consider Advanced Activities of Daily Living (AADL), which is influenced by cultural and motivational factors.</p> <p><strong>CONCLUSION:</strong> Despite several ADL instruments identified, complete psychometric processes have only been done in a few of them. Selection of the appropriate instrument should focus on the aim of the study and the target construct.</p>
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Hsueh, I.-Ping, Jyun-Hong Chen, Chun-Hou Wang, Wen-Hsuan Hou, and Ching-Lin Hsieh. "Development of a Computerized Adaptive Test for Assessing Activities of Daily Living in Outpatients With Stroke." Physical Therapy 93, no. 5 (May 1, 2013): 681–93. http://dx.doi.org/10.2522/ptj.20120173.
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Background An efficient, reliable, and valid measure for assessing activities of daily living (ADL) function is useful to improve the efficiency of patient management and outcome measurement. Objective The purpose of this study was to construct a computerized adaptive testing (CAT) system for measuring ADL function in outpatients with stroke. Design Two cohort studies were conducted at 6 hospitals in Taiwan. Methods A candidate item bank (44 items) was developed, and 643 outpatients were interviewed. An item response theory model was fitted to the data and estimated the item parameters (eg, difficulty and discrimination) for developing the ADL CAT. Another sample of 51 outpatients was interviewed to examine the concurrent validity and efficiency of the CAT. The ADL CAT, as the outcome measure, and the Barthel index (BI) and Frenchay Activities index (FAI) were administered on the second group of participants. Results Ten items did not satisfy the model's expectations and were deleted. Thirty-four items were included in the final item bank. Two stopping rules (ie, reliability coefficient >.9 and maximum test length of 7 items) were set for the CAT. The participants' ADL scores had an average reliability of .93. The CAT scores were highly associated with those of the full 34 items (Pearson r=.98). The scores of the CAT were closely correlated with those of the combined BI and FAI (r=.82). The time required to complete the CAT was about one fifth of the time used to administer both the BI and FAI. Limitations The participants were outpatients living in the community. Further studies are needed to cross-validate the results. Conclusions The results demonstrated that the ADL CAT is quick to administer, reliable, and valid in outpatients with stroke.
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DE JONGHE, JOS F. M. "Everyday actions are activities of daily living." Journal of the International Neuropsychological Society 12, no. 5 (September 2006): 755. http://dx.doi.org/10.1017/s1355617706060917.
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Giovannetti and co-authors (Giovannetti et al., 2006) highlight the importance of measuring activities of daily living (ADL) and Instrumental activities of daily living (IADL) for the diagnosis of dementia. The method used, Naturalistic Action Test (NAT), is performance based. Study rationale was that “the relevance of diagnosis to everyday functioning has gone largely unexplored.” However, this statement seems to be invalid: cognitive impairment interfering with daily/social functioning is one of the DSM-IV dementia criteria. Secondly, many different ADL/IADL scales exist and are used in dementia research, including those that are performance based (Burns et al., 2004). Authors should have reviewed these scales more thoroughly and present a rationale for introducing a new one. NAT items model household chores and preparing a simple meal only. These activities are quite different from and perhaps easier to perform than using the telephone, handling finances, and similar instrumental activities. Simple activities or ADL may not be useful in differentiating dementia from normality, especially in the early stages of dementia.
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Sandhu, Sukhmeet K., Casey H. Halpern, Venus Vakhshori, Keyvan Mirsaeedi-Farahani, John T. Farrar, and John Y. K. Lee. "Brief Pain Inventory–Facial minimum clinically important difference." Journal of Neurosurgery 122, no. 1 (January 2015): 180–90. http://dx.doi.org/10.3171/2014.8.jns132547.
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OBJECT Neurosurgeons are frequently the primary physicians measuring pain relief in patients with trigeminal neuralgia (TN). Unfortunately, the measurement of pain can be complex. The Brief Pain Inventory–Facial (BPI-Facial) is a reliable and validated multidimensional tool that consists of 18 questions. It measures 3 domains of pain: 1) pain intensity (worst and average pain intensity), 2) interference with general activities of daily living (ADL), and 3) face-specific pain interference. The objective of this paper is to determine the patient-reported minimum clinically important difference (MCID) using the BPI-Facial. METHODS The authors conducted a retrospective study of 234 patients with TN seen in a single neurosurgeon's office. Patients completed baseline and 1-month follow-up BPI-Facial questionnaires. The MCID was calculated using an anchor-based approach in which the defined anchor was the 7-point patient global impression of change (PGIC). Two statistical methods were employed: mean change score and optimal cutoff point. RESULTS Using the mean change score method, the investigators calculated the MCID for the 3 domains of the BPIFacial: 44% and 30% improvement in pain intensity at its worst and average, respectively, 54% improvement in interference with general ADL, and 63% improvement in interference with facial ADL. Using the optimal cutoff point method, they also calculated the MCID for the 3 domains of the BPI-Facial: 57% and 28% improvement in pain intensity at its worst and average, respectively, 75% improvement in interference with general ADL, and 62% improvement in interference with facial ADL. CONCLUSIONS The BPI-Facial is a multidimensional pain scale that measures 3 domains of pain. Although 2 statistical methods were used to calculate the MCID, the optimal cutoff point method was the superior one because it used data from the majority of subjects included in this study. A 57% improvement in pain intensity at its worst and a 28% improvement in pain intensity at its average were the MCIDs for patients with facial pain. A greater improvement was needed to achieve the MCID for interference with general and facial ADL. A 75% improvement in interference with general ADL and a 62% improvement in interference with facial ADL were needed to achieve an MCID. While pain intensity is easier to measure, pain's interference with ADL may be more important for patient outcomes when designing or evaluating interventions in the field of TN. The BPI-Facial is a useful instrument to measure changes in multidimensional aspects of pain in patients with TN.
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Türnquist, Kristina. "New Scandinavian Doctorate:Verifying and Measuring the Ability to Perform Activities of Daily Living (ADL). A Critical Examination of ADL Instruments and the Practice of Occupational Therapy." Scandinavian Journal of Occupational Therapy 2, no. 2 (January 1995): 85. http://dx.doi.org/10.3109/11038129509106673.
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Sutton, Ryan M., Elizabeth L. McDonald, Rachel J. Shakked, Daniel Fuchs, and Steven M. Raikin. "Determination of Minimum Clinically Important Difference (MCID) in Visual Analog Scale (VAS) Pain and Foot and Ankle Ability Measure (FAAM) Scores After Hallux Valgus Surgery." Foot & Ankle International 40, no. 6 (March 6, 2019): 687–93. http://dx.doi.org/10.1177/1071100719834539.
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Background: Minimum clinically important difference (MCID) defines a threshold when determining clinically significant treatment improvement. Visual analog scale (VAS) and Foot and Ankle Ability Measure activities of daily living (FAAM-ADL) are commonly used for measuring hallux valgus correction. This study aimed to determine MCID in VAS pain and FAAM-ADL scores for hallux valgus correction and additionally, to identify variables influencing achievement of the VAS pain MCID. Methods: Patients undergoing hallux valgus surgery were retrospectively included. VAS pain, FAAM-ADL, and pain satisfaction surveys were collected preoperatively and minimum 1-year postoperatively. Using a 6-point Likert-type pain satisfaction scale, patients reporting low postoperative satisfaction scores 1 through 3 were categorized as “dissatisfied,” and high satisfaction scores 4 through six as “satisfied.” One distribution-based method and 2 anchor-based methods were used to calculate MCID. Further, a logistic regression was calculated to determine if one group (defined by sex, pain satisfaction, preoperative VAS pain, concomitant lesser toe deformity correction, and specific hallux valgus correction procedure) had a greater likelihood of achieving the VAS pain MCID threshold. This study included 170 patients with postoperative follow-up averaging 23.6 months. Results: Calculated MCID scores ranged from 1.8 to 5.2 points for VAS pain and 11.1 to 22.7 points for FAAM-ADL. Moderate deformity correction with proximal first metatarsal osteotomy (Ludloff) (OR=2.236, P = .036) or severe deformity correction with first tarsometatarsal arthrodesis (Lapidus) (OR=3.145, P = .046); and higher preoperative pain scores (OR=1.045, P < .010) had significantly higher odds of meeting VAS pain MCID. Conclusion: This study demonstrated MCID values that may indicate significant pain and function improvement after hallux valgus correction. Higher preoperative pain, and utilization of proximal metatarsal osteotomy or first tarsometatarsal arthrodesis for moderate or severe deformity correction resulted in significantly greater likelihood of reaching the VAS pain MCID than utilizing distal metatarsal and/or proximal phalanx osteotomy for mild deformity treatment. Level of Evidence: Level IV, validating outcome measures.
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Souza, Renata Guzzo, Vanderci Borges, Sonia Maria Cesar de Azevedo Silva, and Henrique Ballalai Ferraz. "Quality of life scale in parkinson's disease PDQ-39 - (Brazilian Portuguese version) to assess patients with and without levodopa motor fluctuation." Arquivos de Neuro-Psiquiatria 65, no. 3b (September 2007): 787–91. http://dx.doi.org/10.1590/s0004-282x2007000500010.
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Quality of life (QoL) is an important treatment outcome indicator in Parkinson's disease (PD). The aim of this study is to assess the usefulness of the Parkinson's disease questionnaire - PDQ-39 (Brazilian Portuguese Version) in measuring QoL of PD patients with or without motor fluctuations. Fifty-six PD patients with mean disease duration of 7.4 years were assessed and 41 of them (73.3%) had motor fluctuations. The PDQ-39 has eight dimensions ranging from 0 to 100; being the higher the score, the worse the QoL. Comparing groups with and without motor fluctuations showed that the dimensions mobility, activities of daily living (ADL), communication and bodily discomfort scored higher in the fluctuating group. There was a tendency to see that the higher the Hoehn and Yahr (HY) scale stages, the higher the PDQ-39 scores. Patients suffering from the disease for more than five years had worse PDQ-39 scores only in the items ADL and communication, when compared with those with the disease for < 5 years. The PDQ-39 is an instrument that detects decrease in QoL of PD patients and the presence of motor fluctuations predicts QoL reduction.
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Castner, Jessica, and Susan Dean-Baar. "Measuring Nursing Error: Psychometrics of MISSCARE and Practice and Professional Issues Items." Journal of Nursing Measurement 22, no. 3 (2014): 421–37. http://dx.doi.org/10.1891/1061-3749.22.3.421.
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Background and Purpose: Health care error causes inpatient morbidity and mortality. This study pooled the items from preexisting nursing error questionnaires and tested the psychometric properties of modified subscales from these item combinations. Methods: Items from MISSCARE Part A, Part B, and the Practice and Professional Issues were collected from 556 registered nurses. Principal component analyses were completed for items measuring (a) nursing error and (b) antecedents to error. Results: Acceptable factor loadings and internal consistency reliability (.70–.89) were found for subscales Acute Care Missed Nursing Care, Errors of Commission, Workload, Supplies Problems, and Communication Problems. Conclusions: The findings support the use of 5 subscales to measure nursing error and antecedents to error in various inpatient unit types with acceptable validity and reliability. The Activities of Daily Living (ADL) Omissions subscale is not appropriate for all inpatient unit types.
Dissertations / Theses on the topic "ADL-measuring"
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Ahl, Gullan. "Reliabilitets- och validitetstestning av ADL-instrument RAINBOW - ett teamdokument." Thesis, Högskolan i Örebro, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54256.
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Ett nytt instrument utvecklades från Katz´ ADL-index, vilket visat sig vara ett allt för grovt instrument, för att kartlägga patientens aktivitetsförmåga och självständighetsutveckling. Bedömningsinstrumentet innehåller patientdata samt kategori-index och kom att kallas RAINBOW på grund av att instrumentet är i fyrfärgstryck. En kontroll av det nykonstruerade team-instrumentet utfördes i syfte att mäta dess tillförlitlighet. Mellanbedömar reliabilitet mellan oberoende bedömare har prövats. Validiteten har analyserats på 4 patienter ur materialet och jämförts med Katz´ ADl-index. Studien, som bestod av parvisa oberoende bedömningar, utfördes av sjuksköterskor, sjukgymnaster och arbetsterapeuter. 40 patienter deltog i studien. Delaktivitetsbedömningarna uppgick till 950 och innehöll 36 avvikelser. Resultaten visade på 96 % samstämmighet i bedömningarna. Den kvalitativa analysen visade, i jämförelse med Katz´ ADL-index, att RAINBOW kategori-index gav utförligare information om patientens självständighetsnivå samt hjälpbehov. I denna studie bedömdes endast strokepatienter, men då begreppen som ingår i instrumentet kan anses allmängiltiga, torde det även kunna användas på andra diagnosgrupper. En gemensam rehabiliteringsterminologi gav teamarbetet en ökad kvalitet gällande bedömning, planering samt utvärdering av den enskilde patientens aktivitetsförmåga.Uppsatsarbete omfattande 10 poäng, C-nivå, inom ramen för arbetsterapeutprogrammet 120 p., Högskolan i Örebro, Institutionen för vårdvetenskap och omsorg. Författarens namn i uppsatsen är Gull-Britt Johansson.
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Árnadóttir, Guðrún. "Measuring the impact of body functions on occupational performance : validation of the ADL-focused occupation-based neurobehavioral evaluation (A-ONE)." Doctoral thesis, Umeå universitet, Arbetsterapi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-32083.
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Background: Among the instruments commonly used by occupational therapists working in the area of rehabilitation of persons with neurological disorders are evaluations of both occupation, such as activities of daily living (ADL), and body functions. While persons with neurological diagnoses typically have symptoms that represent diminished neurobehavioral functions, the resulting pattern of neurobehavioral impairments affecting ADL performance often differs among diagnostic groups. Usually, neurobehavioral impairments are evaluated in a context that is separate from and not natural for ADL task performance. The A-ONE is a unique instrument that can be used to evaluate both ADL performance (ADL scale) and, in the natural context of the ADL task performance, the underlying neurobehaviors that cause diminished ADL task performance among persons with neurological disorders (Neurobehavioral scale). The scales of the instrument are of ordinal type, and in their existing form, do not have measurement properties. Measurement properties are a requirement of evidence-based and quality assured rehabilitation services. The overall aim of this doctoral study was to further develop and validate the A-ONE. This included (a) internal validation to explore the potential for converting the ordinal scales of the instrument to interval scales, (b) examination of which of the neurobehavioral items would be most beneficial and clinically useful for constructing a new Neurobehavioral Impact (NBI) scale for evaluating persons with different neurological diagnoses, and (c) exploration of whether persons with right and left cerebrovascular accidents (RCVA, LCVA) differ in mean NBI measures. Methods: This thesis is comprised of four studies which all contribute in different ways to the validation of the scales of the A-ONE. In the first three studies, Rasch analyses, a widely accepted modern test theory methodology, was used to examine internal validity of the scales and the reliability of the A-ONE measures. In the fourth study, ANCOVA was used to explore between group differences, and Pearson correlation coefficients were used to explore relations between person measures from the different A-ONE scales. Results: The first study of 209 persons diagnosed with CVA and dementia provided support for converting the ordinal ADL scale to an interval scale that has potential to be used to measure change in ADL performance over time. The second and third studies, including 206 and 422 persons respectively, indicated that it is possible to construct several unidimensional versions of a new NBI scale from the neurobehavioral items of the instrument, each with different item content and hierarchical item structure. Further, some of these NBI scales could be used across different diagnostic groups. When exploring differences between 215 persons with RCVA and LCVA on the NBI scale developed for CVA, results of the ANCOVA (with ADL ability as a covariate) indicated that there is no significant difference between groups in their mean NBI measures, despite known differences in patterns of neurobehavioral impairments. Conclusions: The results of this thesis indicate that the A-ONE, although developed by traditional psychometric methods for the purpose of providing useful information for intervention planning, now also has the potential to be used to measure change and compare diagnostic groups. This additional feature will likely enhance both clinical and research potential of the instrument. In order to make the results of the study accessible for clinicians, conversion tables need to be developed.
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Árnadóttir, Guðrún. "Measuring the impact of body functions on occupational performance validation of the ADL-focused occupation-based neurobehavioral evaluation (A-ONE) /." Umeå : Umeå university, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-32083.
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Waehrens, Eva Ejlersen. "Measuring quality of occupational performance based on self-report and observation development and validation of instruments to evaluate ADL task performance /." Doctoral thesis, Umeå : Umeå university, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33848.
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Sunesson, Johan. "CAN ACTIVPAL REPLACE ACTIGRAPH WHEN MEASURING PHYSICAL ACTIVITY ON ADULTS IN A FREE LIVING ENVRIONMENT?" Thesis, Umeå universitet, Fysioterapi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-152767.
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Introduction With an increasing knowledge of the health benefits from physical activity (PA) the interest in objectively measuring PA in free living environment has increased. ActiGraph is the most commonly used accelerometer to objectively measure PA, while ActivPAL is considered gold standard when it comes to measuring sedentary behavior. Aims The aim of this study was to investigate if ActivPAL could be used to measure Moderate to Vigorous Physical Activity (MVPA) instead of ActiGraph. Methods Data from 79 overweight office workers carrying the ActivPAL and ActiGraph device simultaneously were analyzed. All activities with a cadence of 90 steps per minute (spm) or more lasting for at least 30 seconds from one day from ActivPAL data was extracted and compared to the corresponding activity from ActiGraph. An activity was classified as MVPA by using the cut points of 100 spm for ActivPAL and 3208 activity-counts per minute (cpm) for ActiGraph using vector magnitude (VM). Results A correlation of r=0.326 (p<0.001) was seen between ActiGraph and ActivPAL with a Cohen’s kappa of K=0.14, a percentage agreement of 60.7%, a sensitivity of 61.5% with ActiGraph as denominator and a positive predictive value (PPV) of 84.3% for ActivPAL. Neither age nor BMI affected the association between the estimates by these devices. There was no correlation for time spent in MVPA between devices. Conclusion Cadence from ActivPAL cannot replace ActiGraph to measure MVPA in a free living environment in overweight adults.
Book chapters on the topic "ADL-measuring"
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Kwakkel, Gert, and Boudewijn Kollen. "Predicting activities after stroke." In Oxford Textbook of Neurorehabilitation, 24–34. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199673711.003.0004.
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Knowledge about the functional prognosis of stroke patients admitted to a stroke unit has increased substantially over the past years. Prospective cohort studies suggest that a return of some finger extension and voluntary activity in the shoulder abductors within days post-stroke onset predicts a favourable recovery of the upper extremity function at 6 months. The Barthel Index and the ability to sit unsupported are the main predictors for recovery of gait and ADL independency. Almost all developed prediction models identify patients with a favourable prognosis but are less suitable to accurately predict individuals who will not regain dexterity, mobility, and ADL independence following stroke. In individuals with an unfavourable prognosis, this entails measuring clinical determinants frequently and longitudinally during the post-stroke course. Moreover, future research should focus on cross-validating prediction models, which should also incorporate presently excluded stroke subtypes, such as brain stem strokes, intraparenchymal and subarachnoid haemorrhages.
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Kwakkel, Gert, and Boudewijn Kollen. "Predicting activities after stroke." In Oxford Textbook of Neurorehabilitation, edited by Volker Dietz, Nick S. Ward, and Christopher Kennard, 31–46. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198824954.003.0004.
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Knowledge about the functional prognosis of stroke patients admitted to a stroke unit has increased substantially over the past years. Prospective cohort studies suggest that the return of some finger extension and voluntary activity in the shoulder abductors within days post-stroke onset predicts a favourable recovery of the upper extremity function at 6 months. The Barthel index and the ability to sit unsupported are the main predictors for recovery of gait and activities of daily living (ADL) independency. Almost all developed prediction models identify patients with a favourable prognosis but are less suitable to predict accurately individuals who will not regain dexterity, mobility, and ADL independence following stroke. In individuals with an unfavourable prognosis, this entails measuring clinical determinants frequently and longitudinally during the post-stroke course. Moreover, future research should focus on cross-validating prediction models, which should also incorporate presently excluded stroke subtypes, such as brain stem strokes, intraparenchymal, and subarachnoid haemorrhages.
Conference papers on the topic "ADL-measuring"
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Czabke, A., J. Loeschke, and T. C. Lueth. "Concept and modular telemedicine platform for measuring of vital signs, ADL and behavioral patterns of elderly in home settings." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090862.
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Chamnikar, Ameya S., Gaurav Patil, Mohammadreza Radmanesh, and Manish Kumar. "Trajectory Generation for a Lower Limb Exoskeleton for Sit-to-Stand Transition Using a Genetic Algorithm." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5261.
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Population of the world above the age of 65 years is increasing rapidly. Aging causes weakening of human joints which increases constraints on mobility of the body. Sit-to-Stand (STS), an important part of Activities of Daily Living (ADL) is one of the motions that is affected because of weakened joints. With the lack of personal care there is going to be a need for devices which can assist the aging population in STS. We propose the use of a lower-limb exoskeleton as an assistive device. One of the main challenges in this area is to generate a human like reference trajectory for exoskeleton to follow. This paper proposes the use of Genetic Algorithm (GA), to generate reference trajectories for the joint angles for lower limb exoskeleton for STS transition. The fitness function for the GA presented here is constructed based on the fact that for a successful STS center of mass (COM) needs to stay in the area of support. After the trajectory generation a simple controller is proposed to control a 3 degrees of freedom exoskeleton. The dynamics of the system being controlled are modelled as an inverse 3 degrees of freedom pendulum and the equations are derived using the Euler-Lagrange equation. The highly non-linear dynamics are linearized using an input-output feedback linearization technique. A PD controller is presented for this linearized dynamic system and the validation of the controller is done using simulations. Simulation results show that GA successfully generates a human like trajectory which eliminates the need to use motion tracking system for measuring human trajectories.