Patient-driven loop control for ambulation function restoration in a non-invasive functional electrical stimulation system

2009 ◽  
Vol 32 (1) ◽  
pp. 65-71 ◽  
Author(s):  
W. L. Chen ◽  
S. C. Chen ◽  
C. C. Chen ◽  
C. H. Chou ◽  
Y. Y. Shih ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Loop Control ◽  
Non Invasive ◽  
Stimulation System

Patient-driven loop control for hand function restoration in a non-invasive functional electrical stimulation system

2008 ◽  
Vol 30 (19) ◽  
pp. 1499-1505 ◽  
Author(s):  
Ying-Han Chiou ◽  
Jer-Junn Luh ◽  
Shih-Ching Chen ◽  
Yu-Luen Chen ◽  
Jin-Shin Lai ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Hand Function ◽  
Loop Control ◽  
Non Invasive ◽  
Stimulation System

RESIDUAL CAPABILITIES OF HEMIPLEGIC PATIENTS TO RESTORE HAND FUNCTIONS VIA A NON-INVASIVE FUNCTIONAL ELECTRICAL STIMULATION SYSTEM

2006 ◽  
Vol 18 (05) ◽  
pp. 255-263
Author(s):  
YING-HAN CHIOU ◽  
JER-JUNN LUH ◽  
SHIH-CHING CHEN ◽  
JIN-SHIN LAI ◽  
TE-SON KUO
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Control Strategy ◽  
Control Method ◽  
Control Strategies ◽  
Hand Function ◽  
Loop Control ◽  
Non Invasive ◽  
Hand Functions ◽  
Electrical Stimulator

Control strategies are the chief attraction in the field of rehabilitation engineering, and especially in a functional electrical stimulation (FES) system, a reliable control method is important for paralyzed patients to restore lost their functions. In this paper, we have presented a demonstration of the control strategy, which is based on the patient-driven loop, used in a non-invasive FES system for hand function restoration. With the patient-driven loop control, hemiplegic patients could use their residual capabilities, such as shoulder movements in their sound extremities, the myoelectric signals generated from different muscles, etc, to operate the FES system. Here we have chosen the most common and acceptable signals as the input sources, i.e. electromyographic (EMG) signals, to control a non-invasive FES system, generating the electrical stimuli to excite the paralyzed muscles. In addition, EMG signals recorded by the sensors in the electrical stimulator can serve both as the trigger of the system and as the adjustment of the electrical stimulation parameters, thereby improving the system's performance and reliability. From the experimental results, subjects can successfully use their residual capabilities to control the FES system and restore their lost hand functions as well. On the other hand, from the viewpoints of rehabilitation and psychology, hemiplegics will benefit greatly by using their residual capabilities to regain their lost functions. It is believed that the patient-driven loop control is very useful, not only for the FES system in this study, but also for other assistive devices. By the control strategy proposed in this paper, we deeply hope that patients will benefit greatly and regain their self-confidence.

scholarly journals sEMG Bias-Driven Functional Electrical Stimulation System for Upper-Limb Stroke Rehabilitation

2018 ◽  
Vol 18 (16) ◽  
pp. 6812-6821 ◽  
Author(s):  
Yu Zhou ◽  
Yinfeng Fang ◽  
Kai Gui ◽  
Kairu Li ◽  
Dingguo Zhang ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Upper Limb ◽  
Functional Electrical Stimulation ◽  
Stroke Rehabilitation ◽  
Stimulation System

scholarly journals A patient-controlled functional electrical stimulation system for arm weight relief

2016 ◽  
Vol 38 (11) ◽  
pp. 1232-1243 ◽  
Author(s):  
C. Klauer ◽  
S. Ferrante ◽  
E. Ambrosini ◽  
U. Shiri ◽  
F. Dähne ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Stimulation System

scholarly journals Active proportional electromyogram controlled functional electrical stimulation system

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bethel A. C. Osuagwu ◽  
Emily Whicher ◽  
Rebecca Shirley
Keyword(s):  
Electrical Stimulation ◽  
Adaptive Filtering ◽  
Functional Electrical Stimulation ◽  
Comb Filter ◽  
Online Application ◽  
Present Technique ◽  
Filtering Technique ◽  
Stimulation System ◽  
Filter Approach ◽  
Intentional Movement

AbstractNeurophysiological theories and past studies suggest that intention driven functional electrical stimulation (FES) could be effective in motor neurorehabilitation. Proportional control of FES using voluntary EMG may be used for this purpose. Electrical artefact contamination of voluntary electromyogram (EMG) during FES application makes the technique difficult to implement. Previous attempts to date either poorly extract the voluntary EMG from the artefacts, require a special hardware or are unsuitable for online application. Here we show an implementation of an entirely software-based solution that resolves the current problems in real-time using an adaptive filtering technique with an optional comb filter to extract voluntary EMG from muscles under FES. We demonstrated that unlike the classic comb filter approach, the signal extracted with the present technique was coherent with its noise-free version. Active FES, the resulting EMG-FES system was validated in a typical use case among fifteen patients with tetraplegia. Results showed that FES intensity modulated by the Active FES system was proportional to intentional movement. The Active FES system may inspire further research in neurorehabilitation and assistive technology.

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