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Electromyography monitoring systems in rehabilitation: A review of clinical applications, wearable devices and signal acquisition methodologies
Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …
replicable results from comprehensive studies to assist clinical decision-making. Reliable …
Non-invasive techniques for muscle fatigue monitoring: a comprehensive survey
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …
impairs physical performance and increases the risks of injury. It is important to continuously …
Stretchable surface electromyography electrode array patch for tendon location and muscle injury prevention
Surface electromyography (sEMG) can provide multiplexed information about muscle
performance. If current sEMG electrodes are stretchable, arrayed, and able to be used …
performance. If current sEMG electrodes are stretchable, arrayed, and able to be used …
Analysis and biophysics of surface EMG for physiotherapists and kinesiologists: Toward a common language with rehabilitation engineers
Recent decades have seen a move toward evidence-based medicine to inform the clinical
decision-making process with reproducible findings from high-quality research studies …
decision-making process with reproducible findings from high-quality research studies …
[HTML][HTML] From brain to movement: Wearables-based motion intention prediction across the human nervous system
Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …
powered nanotechnology-based wearable smart systems, human motion intention …
Phenomic studies on diseases: potential and challenges
W Ying - Phenomics, 2023 - Springer
The rapid development of such research field as multi-omics and artificial intelligence (AI)
has made it possible to acquire and analyze the multi-dimensional big data of human …
has made it possible to acquire and analyze the multi-dimensional big data of human …
Tutorial. Surface electromyogram (sEMG) amplitude estimation: Best practices
This tutorial intends to provide insight, instructions and “best practices” for those who are
novices—including clinicians, engineers and non-engineers—in extracting electromyogram …
novices—including clinicians, engineers and non-engineers—in extracting electromyogram …
[HTML][HTML] Advanced bioelectrical signal processing methods: Past, present, and future approach—Part III: Other biosignals
Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly develo**. This paper is a Part III …
advanced signal processing methods. This area is rapidly develo**. This paper is a Part III …
[HTML][HTML] Biopotential signal monitoring systems in rehabilitation: A review
Monitoring physical activity in medical and clinical rehabilitation, in sports environments or
as a wellness indicator is helpful to measure, analyze and evaluate physiological …
as a wellness indicator is helpful to measure, analyze and evaluate physiological …
[HTML][HTML] Progress in active infrared imaging for defect detection in the renewable and electronic industries
X Zhao, Y Zhao, S Hu, H Wang, Y Zhang, W Ming - Sensors, 2023 - mdpi.com
In recent years, infrared thermographic (IRT) technology has experienced notable
advancements and found widespread applications in various fields, such as renewable …
advancements and found widespread applications in various fields, such as renewable …