scholarly journals Biopotential Signal Monitoring Systems in Rehabilitation: A Review

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7172
Author(s):  
Arrigo Palumbo ◽  
Patrizia Vizza ◽  
Barbara Calabrese ◽  
Nicola Ielpo

Monitoring physical activity in medical and clinical rehabilitation, in sports environments or as a wellness indicator is helpful to measure, analyze and evaluate physiological parameters involving the correct subject’s movements. Thanks to integrated circuit (IC) technologies, wearable sensors and portable devices have expanded rapidly in monitoring physical activities in sports and tele-rehabilitation. Therefore, sensors and signal acquisition devices became essential in the tele-rehabilitation path to obtain accurate and reliable information by analyzing the acquired physiological signals. In this context, this paper provides a state-of-the-art review of the recent advances in electroencephalogram (EEG), electrocardiogram (ECG) and electromyogram (EMG) signal monitoring systems and sensors that are relevant to the field of tele-rehabilitation and health monitoring. Mostly, we focused our contribution in EMG signals to highlight its importance in rehabilitation context applications. This review focuses on analyzing the implementation of sensors and biomedical applications both in literature than in commerce. Moreover, a final review discussion about the analyzed solutions is also reported at the end of this paper to highlight the advantages of physiological monitoring systems in rehabilitation and individuate future advancements in this direction. The main contributions of this paper are (i) the presentation of interesting works in the biomedical area, mainly focusing on sensors and systems for physical rehabilitation and health monitoring between 2016 and up-to-date, and (ii) the indication of the main types of commercial sensors currently being used for biomedical applications.

Author(s):  
J. Michael Bertsch ◽  
Stephen P. Gent

Abstract Recent advancements in wearable medical technologies have streamlined health monitoring with simple, non-invasive measurements. These devices, however, are rarely capable of monitoring all the necessary parameters for an accurate measure of health, such as blood pressure, and can cost the user hundreds to thousands of dollars. The objective of this project was to design an affordable, user-friendly, wearable device capable of monitoring multiple parameters: body temperature, blood pressure, heart rate, blood oxygen, and body positioning. By combining wearable sensors with Inter-Integrated Circuit (I2C) technology, the data from many sensors can be transmitted while maintaining a compact size for a wearable. In parallel with this device, a mobile application was designed as an interface to receive real-time comprehensive measurements. This device could be used to reduce monitor application time in emergency medical settings and monitor patients in rural communities who are often hours away from the nearest medical centers.


2018 ◽  
Vol 7 (2) ◽  
pp. 706
Author(s):  
Aanchal Jha ◽  
M. Ganesh Lakshamana Kumar

In this paper we have proposed noise free EMG extractor for biomedical applications and also provide method for detecting blink signal. EMG signal is applied to preamplifier followed by Chebyshev filter and programmable gain amplifier further this processed EMG signal is applied to comparator to detect the blink. This topology is designed in UMC 180nm CMOS technology. Amplifier with gain of 81.155 dB and CMRR of 155.197 dB is designed. Preamplifier gain of 32.1244 dB with CMRR of 76.0743 dB which leads to common mode cancellation at priliminary stage. It also provide input referred noise ranges from 90 to 101.8636 µ V/sqrt(Hz) to reduce the noise for overall system. 4th order Chebyshev filter provides filtering with slope of -80 dB/decade with leads to reduce the unwanted signals. Filtered EMG signal is applied to programmable gain amplifier where gain ranges from 0 to 23 dB.It consumes power of 0.3µ W at 1V supply voltage.


2021 ◽  
pp. 152808372110608
Author(s):  
M. S. Yogendra ◽  
M.V. Mallikarjuna Reddy ◽  
S.N. Kartik ◽  
K. Mohanvelu ◽  
F.V. Varghese ◽  
...  

Development of a gel-free bio-potential electrode for the wearable health monitoring applications is a challenging goal. A conductive fabric electrode can replace the traditional conductive gel electrode. This paper describes the development of a conductive fabric electrode with regard to its potential use for electrocardiogram (ECG) acquisition. Since direct contact between the conductive fabric and human skin will be involved, an investigation on the effect of perspiration on the electrical conductivity of fabric is critical. Hence, the developed electrode was treated with alkaline (pH=8.0) and acidic (pH=4.3) perspiration for 3, 8 and 40 h to study the effect of perspiration on the conductivity and surface morphology. The acquired ECG signals were analysed with respect to morphology and frequency distribution. Conductivity tests were carried out on the perspiration-treated test electrodes by two probe method and surface resistivity meter. The ECG signals of volunteers were also recorded. The results showed a slight decrease in conductivity but without affecting the morphology and the quality of ECG signal. Leached silver content in the acid perspiration-treated solution was found to be 0.117 ppm as determined by Atomic absorption spectroscopy. The result shows that soft conducting textile materials can indeed be used as an electrode for ECG acquisition. This is a novel type of gel-free fabric electrode for long term wearable health monitoring applications including space application.


Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung

The goal of this chapter is to discuss the challenges of generic security protocols and platforms for securing Electronic Health Records (EHR) in general and for their adoption in shared care environments in particular. The chapter introduces various methods and security solutions based on existing protocols, discusses their potentials, and describes some experiences with their implementations. Amongst the main challenges that e-health technology faces, security is considered as one of the major obstacles to its deployment. The chapter proposes an authentication approach, referred to as Ubiquitous Health Trust Protocol (UHTP), which aims at minimizing the security risk associated with the remote access of EHRs using portable devices. In particular, the proposed approach has been used to create ways for secure collaboration providing a set of generic services such as read/write, authentication, and trust management, as well as advanced functionality for mobile access. The experience in adopting the approach using Java on the Android platform is described.


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