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Journal articles on the topic 'Bio-potential signals'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Wan, Mohammad Ehsan Aiman Wan Jusoh, and Hawa Ruslan Siti. "Design and analysis of current mirror OTA in 45 nm and 90 nm CMOS technology for bio-medical application." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 221–28. https://doi.org/10.11591/eei.v9i1.1860.

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This paper proposed a design and performance analysis of current mirror operational transconductance amplifier (OTA) in 45 nm and 90 nm complementary metal oxide semiconductor (CMOS) technology for bio-medical application. Both OTAs were designed and simulated using Synopsys tools and the simulation results were analysed thoroughly. The OTAs were designed to be implemented in bio-potential signals detection system where the input signals were amplified and filtered according to the specifications. From the comparative analysis of both OTAs, the 45 nm OTA managed to produce open loop gain of 45

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TAKAHASHI, Kazuhiko. "Comparison of Emotion Recognition Methods from Bio-Potential Signals." Japanese journal of ergonomics 40, no. 2 (2004): 90–98. http://dx.doi.org/10.5100/jje.40.90.

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WADA, Eiji, Minoru SASAKI, Kyoung ho CHOI, et al. "Development of Machine Control System Using Bio-potential Signals." Proceedings of Conference of Tokai Branch 2004.53 (2004): 263–64. http://dx.doi.org/10.1299/jsmetokai.2004.53.263.

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Murata, Maiko, Kazuhiko Takahashi, and Masafumi Hashimoto. "3408 Remarks on Controlling Electric Wheelchair using Bio-Potential Signals." Proceedings of the JSME annual meeting 2007.5 (2007): 327–28. http://dx.doi.org/10.1299/jsmemecjo.2007.5.0_327.

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Rathod, Priyank Jayantilal. "Bio-Signal and Generative AI." Journal of Artificial Intelligence & Cloud Computing 2, no. 4 (2023): 1–3. http://dx.doi.org/10.47363/jaicc/2023(2)284.

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Since the pandemic, a tremendous amount of research has been conducted on the bio signals and detection of any symptoms early on. Catching symptoms early using the bio-signals would enable early detection, preventive care in some cases, and the potential to create a cure plan for the individual. There are many ways in which the bio-signals can be detected and processed meaningfully. These data would help the individual and be used to train the biosignalbased models. Having these models generate large amounts of data trained on this dataset would enable the detection, diagnosis, and preventive

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Brajkovič, Robert, Tomaž Žagar, and Dejan Križaj. "Frequency Synchronization Analysis in Digital lock-in Methods for Bio-impedance Determination." Measurement Science Review 14, no. 6 (2014): 343–49. http://dx.doi.org/10.2478/msr-2014-0047.

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Abstract The lock-in method is one of the most frequently used methods for reconstruction of measured signals and as such frequently applied in the (bio)impedance method to determine the modulus and phase of the (bio)impedance. In implementation of the method in a (bio)impedance measurement device one has to consider possible non synchronized frequencies of the reference and the analyzed signals as well as potential sources of noise. In this work we analyzed these errors theoretically and experimentally. We show that both amplitude and phase errors depend on the relative difference of the freq

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Grigore, Dumitru. "Movement Remote Command and Control in the Military Technical Systems through the Inferential Method." HOLISTICA – Journal of Business and Public Administration 8, no. 1 (2017): 15–32. http://dx.doi.org/10.1515/hjbpa-2017-0002.

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Abstract The research described in the paper at had approaches the interaction between the bio-signal and the remote movement control, by introducing an original mathematical model, regarding the psychophysiological inference from the EDA response bio-signals. The experiments were performed using an adequate design, consisting of two different techniques regarding bio-signals, in order to obtain, in variables corresponding to each of them, the same type of electrical behaviour. In order to establish the projective functions, a direct measurement method was used on the levels of potential in th

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Kareem, Ghada. "DETECTION AND CLASSIFICATION OF ABNORMALITIES OF BIO-POTENTIAL ACTIVITY OF HEART." Journal of Southwest Jiaotong University 57, no. 1 (2022): 673–82. http://dx.doi.org/10.35741/issn.0258-2724.57.1.60.

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An electrocardiograph (ECG) is one of the essential equipment used in cardiology department research. It is used for diagnostic patients suffering from heart biopotential activity disorders. The difficulty of ECG classification is solved; the signal of ECG has some noise, so pre-processing is done at first to denoising. The signal is transformed into a small set of features simplifying the classification of the signal and diagnosing the disease. Support vector machine (SVM), K nearest neighbor (KNN), discriminant analysis (DS), random forest (RF), and Naïve Bayes (NB) classifiers are used for

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9

Mohammad Ehsan Aiman Wan Jusoh, Wan, and Siti Hawa Ruslan. "Design and analysis of current mirror OTA in 45 nm and 90 nm CMOS technology for bio-medical application." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 221–28. http://dx.doi.org/10.11591/eei.v9i1.1860.

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Abstract:

This paper proposed a design and performance analysis of current mirror operational transconductance amplifier (OTA) in 45 nm and 90 nm complementary metal oxide semiconductor (CMOS) technology for bio-medical application. Both OTAs were designed and simulated using Synopsys tools and the simulation results were analysed thoroughly. The OTAs were designed to be implemented in bio-potential signals detection system where the input signals were amplified and filtered according to the specifications. From the comparative analysis of both OTAs, the 45 nm OTA managed to produce open loop gain of 45

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10

SASAKI, Minoru, Eiji WADA, Kyoung ho CHOI, Toshimi Shimizu, and Satoshi Ito. "339 Control of a Flexible Manipulator by Using Bio-potential Signals." Proceedings of the JSME Bioengineering Conference and Seminar 2004.17 (2005): 325–26. http://dx.doi.org/10.1299/jsmebs.2004.17.0_325.

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Sudheer, Singamsetty. "AI-OPTIMIZED BIO-IMPEDANCE SENSING WITH PUFFER FISH ALGORITHM: A BREAKTHROUGH IN NON-INVASIVE GLUCOSE MONITORING." International Journal of Education & Applied Sciences Research 12, no. 1 (2025): 09–20. https://doi.org/10.5281/zenodo.15033940.

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<strong>ABSTRACT</strong> <em>The global rise in diabetes cases highlights the urgent need for effective, non-invasive blood glucose monitoring solutions. This study introduces a pioneering Bio-Impedance Sensing system, enhanced by Artificial Intelligence (AI) and optimized using the Bio-Inspired Puffer Fish Optimization (PFO) Algorithm, for real-time, non-invasive glucose estimation. Bio-impedance spectroscopy is utilized to detect glucose-induced changes in tissue electrical properties, while AI-based machine learning models analyse these signals to predict glucose levels with high accuracy.

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Tanuja Subba, Et al. "A Study on Electromyography Signal as a Controller." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 4662–67. http://dx.doi.org/10.17762/ijritcc.v11i9.10014.

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Human computer interaction (HCI) is the study of interfaces between human and computer. When an input keyboard is pressed the output is displayed in the monitor is a simple example of human and computer interaction. World Wide Web is yet another example of HCI. HCI is everywhere and has become an important aspect in human life. HCI have many subfields and one among them is the study of biosignals. Signals that are generated from living body during muscle contraction, eye movement, brain signal are biosignals and these signals have potential for developing an interface for human computer intera

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Aditya, K., Ganesha Udupa, and Yongkwun Lee. "Development of Bio-Machine Based on the Plant Response to External Stimuli." Journal of Robotics 2011 (2011): 1–7. http://dx.doi.org/10.1155/2011/124314.

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In the area of biorobotics, intense research work is being done based on plant intelligence. Any living cell continuously receives information from the environment. In this paper, research is conducted on the plant nameddescoingsiixhaworthioides(Pepe) obtaining the action potential signals and its responses to stimulations of different light modes. The plant electrical signal is the reaction of plant’s stimulation owing to various environmental conditions. Action potentials are responsible for signaling between plant cells and communication from the plants can be achieved through modulation of

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Jung, Jaehyo, Siho Shin, Mingu Kang, Kyeung Ho Kang, and Youn Tae Kim. "Development of Wearable Wireless Electrocardiogram Detection System using Bluetooth Low Energy." Electronics 10, no. 5 (2021): 608. http://dx.doi.org/10.3390/electronics10050608.

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Wearable monitoring devices can provide patients and doctors with the capability to measure bio-signals on demand. These systems provide enormous benefits for people with acute symptoms of serious health conditions. In this paper, we propose a novel method for collecting ECG signals using two wireless wearable modules. The electric potential measured from a sub-module is transferred to the main module through Bluetooth Low Energy, and the collected values are simultaneously displayed in the form of a graph. This study describes the configuration and outcomes of the proposed system and discusse

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Kim, Suyeon, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, and Kyongwon Kim. "Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data." Sensors 25, no. 15 (2025): 4566. https://doi.org/10.3390/s25154566.

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Ergonomic risk classification during manual lifting tasks is crucial for the prevention of workplace injuries. This study addresses the challenge of classifying lifting task risk levels (low, medium, and high risk, labeled as 0, 1, and 2) using multi-modal time-series data comprising raw facial landmarks and bio-signals (electrocardiography [ECG] and electrodermal activity [EDA]). Classifying such data presents inherent challenges due to multi-source information, temporal dynamics, and class imbalance. To overcome these challenges, this paper proposes a Multi-Adaptive Functional Neural Network

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Rachim, Vega Pradana, and Sung-Min Park. "Review of 3D-printing technologies for wearable and implantable bio-integrated sensors." Essays in Biochemistry 65, no. 3 (2021): 491–502. http://dx.doi.org/10.1042/ebc20200131.

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Abstract Thin-film microfabrication-based bio-integrated sensors are widely used for a broad range of applications that require continuous measurements of biophysical and biochemical signals from the human body. Typically, they are fabricated using standard photolithography and etching techniques. This traditional method is capable of producing a precise, thin, and flexible bio-integrated sensor system. However, it has several drawbacks, such as the fact that it can only be used to fabricate sensors on a planar surface, it is highly complex requiring specialized high-end facilities and equipme

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Sakata, Toshiya. "Technical Perspectives on Applications of Biologically Coupled Gate Field-Effect Transistors." Sensors 22, no. 13 (2022): 4991. http://dx.doi.org/10.3390/s22134991.

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Biosensing technologies are required for point-of-care testing (POCT). We determine some physical parameters such as molecular charge and mass, redox potential, and reflective index for measuring biological phenomena. Among such technologies, biologically coupled gate field-effect transistor (Bio-FET) sensors are a promising candidate as a type of potentiometric biosensor for the POCT because they enable the direct detection of ionic and biomolecular charges in a miniaturized device. However, we need to reconsider some technical issues of Bio-FET sensors to expand their possible use for biosen

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Cruz, Josiel, Alexandre Serres, Raimundo Freire, et al. "The Practical Application of Bio-Inspired PMA for the Detection of Partial Discharges in High Voltage Equipment." Sensors 23, no. 23 (2023): 9307. http://dx.doi.org/10.3390/s23239307.

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In this paper, the practical application of a bio-inspired antenna for partial discharge (PD) detection in high voltage equipment was evaluated in order to validate the efficiency of using this technology for PD monitoring purposes. For this, PD measurements using the bio-inspired antenna were performed on operational 69 kV potential transformers (PT) in a real substation. After the field experiment, laboratory measurements using the IEC 60270 standard method and a bio-inspired antenna were performed, simultaneously, over the evaluated PT. The results obtained at the substation indicated suspi

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Bunea, Alina-Cristina, Violeta Dediu, Edwin Alexandru Laszlo, et al. "E-Skin: The Dawn of a New Era of On-Body Monitoring Systems." Micromachines 12, no. 9 (2021): 1091. http://dx.doi.org/10.3390/mi12091091.

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Real-time “on-body” monitoring of human physiological signals through wearable systems developed on flexible substrates (e-skin) is the next target in human health control and prevention, while an alternative to bulky diagnostic devices routinely used in clinics. The present work summarizes the recent trends in the development of e-skin systems. Firstly, we revised the material development for e-skin systems. Secondly, aspects related to fabrication techniques were presented. Next, the main applications of e-skin systems in monitoring, such as temperature, pulse, and other bio-electric signals

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Olorunlambe, Khadijat A., Zhe Hua, Duncan E. T. Shepherd, and Karl D. Dearn. "Towards a Diagnostic Tool for Diagnosing Joint Pathologies: Supervised Learning of Acoustic Emission Signals." Sensors 21, no. 23 (2021): 8091. http://dx.doi.org/10.3390/s21238091.

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Acoustic emission (AE) testing detects the onset and progression of mechanical flaws. AE as a diagnostic tool is gaining traction for providing a tribological assessment of human joints and orthopaedic implants. There is potential for using AE as a tool for diagnosing joint pathologies such as osteoarthritis and implant failure, but the signal analysis must differentiate between wear mechanisms—a challenging problem! In this study, we use supervised learning to classify AE signals from adhesive and abrasive wear under controlled joint conditions. Uncorrelated AE features were derived using pri

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Hemmingsson, A., J. Carlsten, A. Ericsson, J. Klaveness, G. O. Sperber, and K. Å. Thuomas. "Relaxation Enhancement of the Dog Liver and Spleen by Biodegradable Superparamagnetic Particles in Proton Magnetic Resonance Imaging." Acta Radiologica 28, no. 6 (1987): 703–5. http://dx.doi.org/10.1177/028418518702800608.

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Bio-degradable superparamagnetic particles of about 0.5 μm diameter were investigated in 2 dogs as potential intravenous contrast enhancing agents for the reticuloendothelial system. The particles lowered the MRI signal of the liver for all investigated sequences, while the signal of the spleen was lowered only in T2 weighted sequences. No clear effect was seen on signals of fat and muscle. There was a pronounced effect on T 2 in both liver and spleen but relatively little effect on T1. Diminishing contrast effect with time indicates that the particles degrade. The particles did not have any a

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Fioranelli, Massimo, Alireza Sepehri, Maria Grazia Roccia, et al. "A Mathematical Model for the Signal of Death and Emergence of Mind Out of Brain in Izhikevich Neuron Model." Open Access Macedonian Journal of Medical Sciences 7, no. 18 (2019): 3121–26. http://dx.doi.org/10.3889/oamjms.2019.774.

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AIM: In this paper, using a mathematical model, we will show that for special exchanged photons, the Hamiltonian of a collection of neurons tends to a constant number and all activities is stopped. These photons could be called as the dead photons. To this aim, we use concepts of Bio-BIon in Izhikevich Neuron model. METHODS: In a neuron, there is a page of Dendrite, a page of axon's terminals and a tube of Schwann cells, axon and Myelin Sheath that connects them. These two pages and tube form a Bio-Bion. In a Bio-Bion, exchanging photons and some charged particles between terminals of de

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Katikala, Hima Bindu, Dr Sadulla Shaik, Dr Muralidharan Jayabalan, and Yatavakilla Amarendra Nath. "Design Consideration for Developing Bio-potential Instrumentation Amplifier Intended for Bionic Eye." International Journal of Engineering and Advanced Technology 9, no. 1s5 (2019): 115–17. http://dx.doi.org/10.35940/ijeat.a1028.1291s519.

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According to the Survey of WHO [World Health Organization] ,a people of about 285 million are visually impaired, 39 million are blind and 246 million are having low vision. Blindness is a serious ailment that makes people to suffer a lot. It occurs because of the eye related disorders like Retinitis Pigmentosa[RP], Age-Related Macular Degeneration[AMRD] and Glaucoma, resulting to lead an uncomfortable life style. Recent developments of the Biomedical Engineering field lead to the development of artificial human eye-Bionic eye analogous to natural eye. Bionic eye is a complex system which is in

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WOOLARD, DWIGHT L., YING LUO, BORIS L. GELMONT, TATIANA GLOBUS, and JAMES O. JENSEN. "BIO-MOLECULAR INSPIRED ELECTRONIC ARCHITECTURES FOR ENHANCED SENSING OF THz-FREQUENCY BIO-SIGNATURES." International Journal of High Speed Electronics and Systems 16, no. 02 (2006): 609–37. http://dx.doi.org/10.1142/s0129156406003898.

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A new bio-molecular electronic architectural concept is presented that has potential for defining nanoscale sensor platforms with enhanced capabilities for sensing terahertz (THz) frequency bio-signatures. This architecture makes strategic use of integrated biological elements to enable communication and high-level function within densely-packed nanoelectronic systems. Specifically, a completely new paradigm for establishing hybrid Electro-THz-Optical (ETO) communication channels is introduced. Here, the THz-frequency spectral characteristics that are uniquely associated with the embedded bio-

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Sri Vidya, Devi P., Krishna C. H. Sai, P. Sai Srinivas, S. K. Ashraf, and K. Sushith. "Computing and Monitoring various Biopotential signals using Machine Learning algorithms." E3S Web of Conferences 391 (2023): 01106. http://dx.doi.org/10.1051/e3sconf/202339101106.

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Nowadays health care units play a vital role of the human existence after the pandemic periods. It is very essential to monitor the potential signals of the human body for survival on regular basis. In this paper extracting the values of different biopotential signals produced in human body, monitoring and analysing them using various machine learning algorithms. Monitoring involves observing and checking the progress or quality of data over a period of time and keeping it under system review. The beauty of effective computing is to make machine more emphatic to the user. Machine with the capa

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Khan, Md Ayshik Rahman, Marat Rostov, Jessica Sharmin Rahman, Khandaker Asif Ahmed, and Md Zakir Hossain. "Assessing the Applicability of Machine Learning Models for Robotic Emotion Monitoring: A Survey." Applied Sciences 13, no. 1 (2022): 387. http://dx.doi.org/10.3390/app13010387.

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Emotion monitoring can play a vital role in investigating mental health disorders that contribute to 14% of global diseases. Currently, the mental healthcare system is struggling to cope with the increasing demand. Robot-assisted mental health monitoring tools can take the enormous strain off the system. The current study explored existing state-of-art machine learning (ML) models and signal data from different bio-sensors assessed the suitability of robotic devices for surveilling different physiological and physical traits related to human emotions and discussed their potential applicability

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McNaboe, Riley Q., Youngsun Kong, Wendy A. Henderson, et al. "Optimizing Sensor Locations for Electrodermal Activity Monitoring Using a Wearable Belt System." Journal of Sensor and Actuator Networks 14, no. 2 (2025): 31. https://doi.org/10.3390/jsan14020031.

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Wearable devices for continuous health monitoring in humans are constantly evolving, yet the signal quality may be improved by optimizing electrode placement. While the commonly used locations to measure electrodermal activity (EDA) are at the fingers or the wrist, alternative locations, such as the torso, need to be considered when applying an integrated multimodal approach of concurrently recording multiple bio-signals, such as the monitoring of visceral pain symptoms like those related to irritable bowel syndrome (IBS). This study aims to quantitatively determine the EDA signal quality at f

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Rehman, Zia ur, Saud Altaf, Shafiq Ahmad, Mejdal Alqahtani, Shamsul Huda, and Sofia Iqbal. "Advanced Authentication Scheme with Bio-Key Using Artificial Neural Network." Sustainability 14, no. 7 (2022): 3950. http://dx.doi.org/10.3390/su14073950.

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The improvements in the field of health monitoring have revolutionized our daily lifestyle by developing various applications that did not exist before. However, these applications have serious security concerns; they also can be taken good care of by utilizing the Electrocardiogram (ECG) as potential biometrics. The ECG provides robustness against forgery attacks unlike conventional methods of authentication. Therefore, it has attained the utmost attention and is utilized in several authentication solutions. In this paper, we have presented an efficient architecture for an advanced authentica

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Yao, Yao, Veronique Storme, Kathleen Marchal, and Yves Van de Peer. "Emergent adaptive behaviour of GRN-controlled simulated robots in a changing environment." PeerJ 4 (December 21, 2016): e2812. http://dx.doi.org/10.7717/peerj.2812.

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We developed a bio-inspired robot controller combining an artificial genome with an agent-based control system. The genome encodes a gene regulatory network (GRN) that is switched on by environmental cues and, following the rules of transcriptional regulation, provides output signals to actuators. Whereas the genome represents the full encoding of the transcriptional network, the agent-based system mimics the active regulatory network and signal transduction system also present in naturally occurring biological systems. Using such a design that separates the static from the conditionally activ

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Cheng, Zhijin. "Advances in E-Skin research: materials, functions and applications." Journal of Physics: Conference Series 2608, no. 1 (2023): 012020. http://dx.doi.org/10.1088/1742-6596/2608/1/012020.

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Abstract The need for long-term physiological signal surveillance during everyday life is brought on by the ageing of the population and the rise in health-related worries. Electronic skin is a system that replicates the properties of human skin as well as performs comparable sensory tasks. It has recently demonstrated significant promise in the fields of health monitoring, human-machine interface, and machine perception as a result of its high abrasion resistance and adaptability. The material qualities, functional aspects, as well as typical applications of contemporary electronic skin resea

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Sharaf, Nevin E., Asmaa F. Galal, Mohamed S. El-Sawy, Aziza B. Shalby, Alaa H. Sayed, and Hanaa H. Ahmed. "Role of designed Bio-Geometrical forms in antagonizing neurobehavioral burden of Wi-Fi radiation: Evidence-based experimental study." Biomedical & Pharmacology Journal 12, no. 3 (2019): 1217–34. http://dx.doi.org/10.13005/bpj/1751.

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This study investigated the impact of Wi-Fi signals exposure on cognitive function and its relevant brain biomarkers and the possible role of designed Bio-Geometrical forms in restoring the neurobehavioral alterations resulting from the exposure to the emerging radiation.Rats were assigned into 3 groups; Gp I control group (away from exposure to radiation); Gp II, III were exposed to wireless router signals for 24 h for 6 months and Gp III was protected by a set of designed BioGeometrical shapes. Animals were tested for spatial memory, anxiety and emotionality in addition to the related neurot

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Xu, Kai, Ying Hai Shao, and Gang Wang. "An Intelligent Atrial Fibrillation Wireless Monitoring System Based on Nonlinear Bind Source Extraction Algorithm." Applied Mechanics and Materials 128-129 (October 2011): 74–78. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.74.

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The proposed system is designed to monitor patients with atrial fibrillation (AF) in family. This system mainly consists of wireless sensor networks (WSNs), which contains several mobile sensor nodes and coordinator for acquisition of bio-signals, and an embedded computer (EC) for signal processing. The WSNs are responsible to acquire and transmit Electrocardiogram (ECG). The EC is to extract the AF signal using nonlinear blind source extraction (BSE) algorithm. The extracted AF signal is then utilized to intelligently judge whether or not AF is on, based on which the system will send alert in

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K R, Dr Vineetha, and Krishna K. "Skinput Bio-Acoustic Sensing Technology: A New Era of Interaction with Electronic Devices." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 810–14. http://dx.doi.org/10.22214/ijraset.2023.50214.

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Abstract: Skinput technology is a revolutionary new method of input that allows users to interact with electronic devices through touch input on their skin. This innovative technology uses bio-acoustic sensing to interpret acoustic signals that are generated by tapping or sliding fingers on the skin, and then maps those signals to various device inputs. By using this method, users can interact with devices such as smartphones, tablets, and computers without the need for a physical input device. Skinput technology has the potential to revolutionize the way we interact with technology, particula

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Olyanasab, Ali, and Mohsen Annabestani. "Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review." Journal of Personalized Medicine 14, no. 2 (2024): 203. http://dx.doi.org/10.3390/jpm14020203.

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This review investigates the convergence of artificial intelligence (AI) and personalized health monitoring through wearable devices, classifying them into three distinct categories: bio-electrical, bio-impedance and electro-chemical, and electro-mechanical. Wearable devices have emerged as promising tools for personalized health monitoring, utilizing machine learning to distill meaningful insights from the expansive datasets they capture. Within the bio-electrical category, these devices employ biosignal data, such as electrocardiograms (ECGs), electromyograms (EMGs), electroencephalograms (E

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Shi, Runxiao, Tengteng Lei, Zhihe Xia, and Man Wong. "Low-temperature metal–oxide thin-film transistor technologies for implementing flexible electronic circuits and systems." Journal of Semiconductors 44, no. 9 (2023): 091601. http://dx.doi.org/10.1088/1674-4926/44/9/091601.

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Abstract Here we review two 300 °C metal–oxide (MO) thin-film transistor (TFT) technologies for the implementation of flexible electronic circuits and systems. Fluorination-enhanced TFTs for suppressing the variation and shift of turn-on voltage (V ON), and dual-gate TFTs for acquiring sensor signals and modulating V ON have been deployed to improve the robustness and performance of the systems in which they are deployed. Digital circuit building blocks based on fluorinated TFTs have been designed, fabricated, and characterized, which demonstrate the utility of the proposed low-temperature TFT

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Jarapala Parvathi, Et al. "CNN and Rf based Early Detection of Brain Stroke Using Bio-Electrical Signals." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 739–47. http://dx.doi.org/10.17762/ijritcc.v11i9.8867.

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The brain is a vital component of the body that is in control of involuntary and voluntary movements such as walking, memory, and vision. Nowadays, some of the most prevalent brain disorders include Alzheimer's disease, brain tumors, and epilepsy (paralysis or stroke). As a result, stroke has become a significant global health concern, with high rates of mortality and disability. Importantly, approximately two-thirds of all strokes occur in developing countries, highlighting the significant burden of this condition in these regions. Therefore, emphasizing the timely detection and appropriate t

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Feugang, J. M., R. C. Youngblood, S. T. Willard, and P. L. Ryan. "147 POTENTIAL USE OF CONJUGATED QUANTUM DOT NANOPARTICLES FOR BIO-LABELLING OF MAMMALIAN GAMETES." Reproduction, Fertility and Development 26, no. 1 (2014): 187. http://dx.doi.org/10.1071/rdv26n1ab147.

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Quantum dot nanoparticles (QD) have unique optical properties and high photo-stability. In our previous study, we reported the ability of boar spermatozoa and ovarian follicles to incorporate QD coated with light emitting protein luciferase (QD-BRET) for successful bioluminescence and fluorescence imaging. These reports indicated that co-incubation of QD-BRET with spermatozoa before IVF of pig oocytes does not affect their fertilizing potential, and neither microinjected QD-BRET into cultured porcine ovarian follicles affected their development (Feugang et al. 2012 Reprod. Fertil. Dev.). In th

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Samann, Fars, and Thomas Schanze. "Multiple parallel hidden layers autoencoder for denoising ECG signal." Current Directions in Biomedical Engineering 8, no. 2 (2022): 161–64. http://dx.doi.org/10.1515/cdbme-2022-1042.

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Abstract Deep learning with multiple hidden layers denoising autoencoders (MHL-DAE) is commonly used to denoise images and signals through dimension reduction. Here, we explore the potential of multiple parallel hidden layers denoising autoencoder (MPHL-DAE) to denoise complex bio-signals, like electrocardiogram (ECG). A merge layer, e.g., average layer is considered as the output of the proposed model by combining the outputs of the parallel hidden layers. The parallel hidden layers in the coding layer with activation function of different scale a, e.g., are considered to capture distinct fea

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Chuang, Sih-Chi, Shih-An Yu, Pei-Chia Hung, Hsien-Tsung Lu, Hieu-Trung Nguyen, and Er-Yuan Chuang. "Biological Photonic Devices Designed for the Purpose of Bio-Imaging with Bio-Diagnosis." Photonics 10, no. 10 (2023): 1124. http://dx.doi.org/10.3390/photonics10101124.

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The rapid progress in the fields of biomedical and biological photonic sciences has given rise to a substantial demand for biological photonic structures capable of interacting with living systems. These structures are expected to facilitate precise manipulation of incident light at small scales, enabling the detection of sensitive biological signals and the achievement of highly accurate cell structural imaging. The concept of designing biological photonic devices using innate biomaterials, particularly natural entities such as cells, viruses, and organs, has gained prominence. These innovati

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Wen, Kui, Yuke Shen, Yongyuan Li, and Shubin Liu. "A 0.018 %/V Line Sensitivity Voltage Reference With −82.46 dB PSRR at 100 Hz for Bio-Potential Signals Readout Systems." IEEE Transactions on Circuits and Systems II: Express Briefs 69, no. 4 (2022): 2031–35. http://dx.doi.org/10.1109/tcsii.2022.3141736.

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Goes, J., N. Paulino, H. Pinto, R. Monteiro, B. Vaz, and A. S. Garcao. "Low-power low-voltage CMOS A/D sigma-delta modulator for bio-potential signals driven by a single-phase scheme." IEEE Transactions on Circuits and Systems I: Regular Papers 52, no. 12 (2005): 2595–604. http://dx.doi.org/10.1109/tcsi.2005.857552.

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Lee, Chi-Jung, David Yang, Pin-Sung Ku, and Hsin-Liu Cindy Kao. "SweatSkin." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 4 (2023): 1–30. http://dx.doi.org/10.1145/3631425.

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Sweat sensing affords monitoring essential bio-signals tailored for various well-being inspections. We present SweatSkin, the fabrication approach for customizable sweat-sensing on-skin interfaces. SweatSkin is unique in exploiting on-skin microfluidic channels to access bio-fluid secretes within the skin for personalized health monitoring. To lower the barrier to creating skin-conformable microfluidics capable of collecting and analyzing sweat, four fabrication methods utilizing accessible materials are proposed. Technical characterizations of paper- and polymer-based devices indicate that co

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Belkhiria, Chama, Atlal Boudir, Christophe Hurter, and Vsevolod Peysakhovich. "EOG-Based Human–Computer Interface: 2000–2020 Review." Sensors 22, no. 13 (2022): 4914. http://dx.doi.org/10.3390/s22134914.

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Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology influencing physical medicine, daily life, gaming and even the aeronautics field. EOG-based BCI systems record activity related to users’ intention, perception and motor decisions. It converts the bio-physiological signals into commands for external hardware, and it executes the operation expected by the user through the output device. EOG signal is used for identifying and classifying eye movements through active or passive interaction. Both types of interaction have the potential for controlling the outpu

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Lee, Wonryeol, Sooyoung Oh, and Sun K. Hong. "Compact Dual-Circularly Polarized Traveling-Wave Series-Fed Patch Array for Use as a Non-Linear Tag Antenna for Bio-Sensing Applications." Applied Sciences 13, no. 13 (2023): 7729. http://dx.doi.org/10.3390/app13137729.

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This paper proposes a compact K-band dual-circularly polarized antenna that can be implemented on a non-linear tag based on third-order intermodulation (IM3) for bio-sensing applications. The proposed antenna has the characteristics of being low-profile and lightweight, with opposite circular polarizations (CP) between ports. The non-linear tag-based bio-sensing scenario utilizes K-band millimeter wave frequencies, which allows for compact non-linear tags for attachment to the body. Also, the proposed antenna features dual-CP, which are for the reception and re-radiation of incident transmit s

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Theien, Bradley E., Carol L. Vanderlugt, Cheryl Nickerson-Nutter, et al. "Differential effects of treatment with a small-molecule VLA-4 antagonist before and after onset of relapsing EAE." Blood 102, no. 13 (2003): 4464–71. http://dx.doi.org/10.1182/blood-2003-03-0974.

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AbstractInteraction of very late antigen-4 (VLA-4) with its ligand vascular cell adhesion molecule-1 (VCAM-1) is required for central nervous system (CNS) migration of encephalitogenic T cells in relapsing experimental autoimmune encephalomyelitis (R-EAE). Anti-VLA-4 monoclonal antibody (mAb) treatment prior to EAE onset inhibits disease induction; however, treatment initiated after the appearance of clinical symptoms increases relapse rates, augments Th1 responses, and enhances epitope spreading perhaps due to the activation of costimulatory signals. To negate the potential costimulatory acti

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Li, Xilin, Sai Ho Ling, and Steven Su. "A Hybrid Feature Selection and Extraction Methods for Sleep Apnea Detection Using Bio-Signals." Sensors 20, no. 15 (2020): 4323. http://dx.doi.org/10.3390/s20154323.

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People with sleep apnea (SA) are at increased risk of having stroke and cardiovascular diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature selection from PSG signals and uses a support vector machine (SVM) to detect SA. To analyze SA, the Physionet Apnea Database was used to obtain various features. Electrocardiography (ECG), oxygen saturation (SaO2), airflow, abdominal, and thoracic signals were used to provide various frequency-, time-domain and non-linear features (n = 87). To analyse the significance of these features, firstly, two evaluation measures, the ran

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Al-Ahmed, Amir, Haitham M. Bahaidarah, and Mohammad A. Jafar Mazumder. "Biomedical Perspectives of Polyaniline Based Biosensors." Advanced Materials Research 810 (September 2013): 173–216. http://dx.doi.org/10.4028/www.scientific.net/amr.810.173.

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Electrically conducting polymers (ECPs) are finding applications in various fields of science owing to their fascinating characteristic properties such as binding molecules, tuning their properties, direct communication to produce a range of analytical signals and new analytical applications. Polyaniline (PANI) is one such ECP that has been extensively used and investigated over the last decade for direct electron transfer leading towards fabrication of mediator-less biosensors. In this review article, significant attention has been paid to the various polymerization techniques of polyaniline

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Jiang, Qinkai, and Mengwei Liu. "Recent Progress in Artificial Neurons for Neuromodulation." Journal of Functional Biomaterials 15, no. 8 (2024): 214. http://dx.doi.org/10.3390/jfb15080214.

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Driven by the rapid advancement and practical implementation of biomaterials, fabrication technologies, and artificial intelligence, artificial neuron devices and systems have emerged as a promising technology for interpreting and transmitting neurological signals. These systems are equipped with multi-modal bio-integrable sensing capabilities, and can facilitate the benefits of neurological monitoring and modulation through accurate physiological recognition. In this article, we provide an overview of recent progress in artificial neuron technology, with a particular focus on the high-tech ap

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Skrzypek, Sławomira. "Electrode mechanism and voltammetric determination of selected guanidino compounds." Open Chemistry 10, no. 4 (2012): 977–88. http://dx.doi.org/10.2478/s11532-012-0043-0.

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AbstractThe present review describes the recent results on the electrochemical activity of bio-guanidino compounds, such as famotidine, metformin, acyclovir, ganciclovir, zanamivir, moroxydine as well as guanidino compounds, such as S-[(2-guanidino-thiazol-4-yl)methyl]isothiourea hydrochloride, 2-guanidino-1,3-thiazole, 2-guanidinobenzimidazole. The focus is on analyzing the electrode mechanism of the guanidino compounds at the hanging mercury drop electrode and at the silver amalgam film electrode, as well as on the character of the square wave (SW) voltammetric signals. It has been stated, t

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A Imrana, Janaranjan BS, Krithin K R, Mavikka S, and Dr.Gopalakrishnan S. "Design and Development of Cloud Based Real Time ECG Anomaly Detection." international journal of engineering technology and management sciences 7, no. 5 (2023): 132–40. http://dx.doi.org/10.46647/ijetms.2023.v07i05.015.

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The functionality of the heart is assessed by analysing the electrocardiogram (ECG) signal. Numerous methods were developed for the accurate detection of heart diseases utilising the recorded ECG signals. However, individuals with serious heart diseases must be constantly observed, especially if there are few indicating bio-signal patterns. Real-time data collection and processing enables early detection of heart diseases and prevent complications. The AD8232 sensor is used in the project along with its interface with the Node MCU for real time acquisition of ECG signal. The intervals of the P

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