A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Cuticular pad–inspired selective frequency damper for nearly dynamic noise–free bioelectronics
Bioelectronics needs to continuously monitor mechanical and electrophysiological signals
for patients. However, the signals always include artifacts by patients' unexpected movement …
for patients. However, the signals always include artifacts by patients' unexpected movement …
[HTML][HTML] 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 …
[HTML][HTML] Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment
P Maceira-Elvira, T Popa, AC Schmid… - … of neuroengineering and …, 2019 - Springer
Stroke is one of the main causes of long-term disability worldwide, placing a large burden on
individuals and society. Rehabilitation after stroke consists of an iterative process involving …
individuals and society. Rehabilitation after stroke consists of an iterative process involving …
Wearable sensing technology applications in construction safety and health
The advent of wearable sensing technologies has produced unprecedented opportunities
for the near real-time collection and analysis of workers' safety and health data. To …
for the near real-time collection and analysis of workers' safety and health data. To …
[HTML][HTML] Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
A Jaramillo-Yánez, ME Benalcázar… - Sensors, 2020 - mdpi.com
Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …
a natural way makes the communication process more comfortable. Human–Computer …
[HTML][HTML] Reducing noise, artifacts and interference in single-channel emg signals: A review
Electromyography (EMG) is gaining importance in many research and clinical applications,
including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical …
including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical …
[HTML][HTML] Ergonomic human-robot collaboration in industry: A review
In the current industrial context, the importance of assessing and improving workers' health
conditions is widely recognised. Both physical and psycho-social factors contribute to …
conditions is widely recognised. Both physical and psycho-social factors contribute to …
[HTML][HTML] Smart wearables for the detection of cardiovascular diseases: a systematic literature review
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …
growing power of artificial intelligence are successfully transforming a number of concepts …