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Subject = Exercise Therapy;
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Displaying Results 26 - 27 of 27 on page 2 of 2
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The effects of an electrical muscle stimulation training intervention on physiological measures in a spinal cord injury male
(2010)
McCormack, Kirsti; Carty, Amanda; Coughlan, Garrett; Crowe, Louis; Caulfield, Brian
The effects of an electrical muscle stimulation training intervention on physiological measures in a spinal cord injury male
(2010)
McCormack, Kirsti; Carty, Amanda; Coughlan, Garrett; Crowe, Louis; Caulfield, Brian
Abstract:
Poster presentation at the 1st Annual Conference of the International Functional Electrical Stimulation Society (UK and Ireland Chapter), 15th & 16th April 2010, University of Salford, U.K.
Participation in aerobic exercise activity is considered necessary for individuals with spinal cord injury (SCI) to reduce the potential development of common co-morbidities associated with SCI such as cardiovascular (CV) disease, reduced bone mineral density (BMD), increases in body fat and decreases in lean body mass. Functional Electrical Stimulation (FES) has been advocated as offering a feasible exercise regime to SCI individuals. FES studies have reported improvements in BMD, CV fitness, body composition (BC) and quality of life (QOL), however its application is limited by its effect on muscle fatigue, as well as the need for specialist equipment and training. Recently, researchers have developed a new type of electrical muscle stimulation (EMS) system, which appears to overcome th...
http://hdl.handle.net/10197/2402
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The Limb Movement Analysis of Rehabilitation Exercises using Wearable Inertial Sensors
(2016)
Huang, Bingquan; Giggins, Oonagh M.; Kechadi, Tahar; Caulfield, Brian
The Limb Movement Analysis of Rehabilitation Exercises using Wearable Inertial Sensors
(2016)
Huang, Bingquan; Giggins, Oonagh M.; Kechadi, Tahar; Caulfield, Brian
Abstract:
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Florida, United States of America, 16-20 August 2016
Due to no supervision of a therapist in home based exercise programs, inertial sensor based feedback systems which can accurately assess movement repetitions are urgently required. The synchronicity and the degrees of freedom both show that one movement might resemble another movement signal which is mixed in with another not precisely defined movement. Therefore, the data and feature selections are important for movement analysis. This paper explores the data and feature selection for the limb movement analysis of rehabilitation exercises. The results highlight that the classification accuracy is very sensitive to the mount location of the sensors. The results show that the use of 2 or 3 sensor units, the combination of acceleration and gyroscope data, and the feature sets combined by the statistical feature set with another type of ...
http://hdl.handle.net/10197/7857
Displaying Results 26 - 27 of 27 on page 2 of 2
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