2021
DOI: 10.3390/s21186064
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Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Abstract: Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing. This paper is a Part III paper, where the most popular and efficient digital signal processing methods are presented. This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterogr… Show more

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Cited by 48 publications
(15 citation statements)
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References 147 publications
(197 reference statements)
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“…In addition, they contribute, to a certain extent, to the motor rehabilitation of elderly patients. Usually, upper limb exoskeleton robots (Rehab-Robotics) use myoelectric actuation as the mediating mode of action, and bioelectric sensors, such as EMG sensors, can detect the patient's voluntary muscle activation in real-time and trigger the robot-assisted movements [63]. The lower extremity rehabilitation robot (Keeogo) places sensors on the thighs, knees, and calves of the elderly patients and uses a wearable design, which connects the calves to the thighs and suspends them from a lumbar carrier system, enabling the elderly patient's hips to rotate freely and enabling the sensors to transmit data to a terminal for analysis during the rehabilitation exercises.…”
Section: Sensors As the Intermediaries: Myoelectric-driven Robot Prom...mentioning
confidence: 99%
“…In addition, they contribute, to a certain extent, to the motor rehabilitation of elderly patients. Usually, upper limb exoskeleton robots (Rehab-Robotics) use myoelectric actuation as the mediating mode of action, and bioelectric sensors, such as EMG sensors, can detect the patient's voluntary muscle activation in real-time and trigger the robot-assisted movements [63]. The lower extremity rehabilitation robot (Keeogo) places sensors on the thighs, knees, and calves of the elderly patients and uses a wearable design, which connects the calves to the thighs and suspends them from a lumbar carrier system, enabling the elderly patient's hips to rotate freely and enabling the sensors to transmit data to a terminal for analysis during the rehabilitation exercises.…”
Section: Sensors As the Intermediaries: Myoelectric-driven Robot Prom...mentioning
confidence: 99%
“…EGG is currently regarded as an auxiliary diagnostic examination in the clinic, which is used to evaluate nausea, vomiting, and other GI rhythm disorders, eventually exploring the mechanism of functional GI disease[ 36 , 37 ]. Chen et al [ 38 ] found that approximately 75% of gastroparesis patients had preprandial or postprandial abnormal signal patterns following EGG examination of healthy subjects and gastroparesis patients.…”
Section: Emgmentioning
confidence: 99%
“…Beside the variety of existing human-machine interaction and command techniques, these last decades, biological ones have opened new unprecedented perspectives towards very interesting and promising innovative researches. Indeed, biomechanical actions, myo-electric and bio-cybernetic techniques can be used for interaction, command and control of dynamical systems such as robots, wheelchairs, and even paralyzed body parts of human (Berna-Martinez, 2011;Martinek et al, 2021;Rechy-Ramirez and Hu, 2015).…”
Section: Brain-based Interaction and Commandsmentioning
confidence: 99%
“…Electroencephalography (EEG) is a physiological method to record the electrical activity generated by the brain via electrodes placed on the scalp surface. The signal amplitude is usually under 100 μV and the frequency band of normal EEG signals is usually above DC up to 50 Hz (Martinek et al, 2021).…”
Section: Bci Techniquesmentioning
confidence: 99%