Skin Temperature Prediction in Lower Limb Prostheses
نویسندگان
چکیده
منابع مشابه
Thermal time constant: optimising the skin temperature predictive modelling in lower limb prostheses using Gaussian processes
Elevated skin temperature at the body/device interface of lower-limb prostheses is one of the major factors that affect tissue health. The heat dissipation in prosthetic sockets is greatly influenced by the thermal conductive properties of the hard socket and liner material employed. However, monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicat...
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متن کاملComparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses.
Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during donning and doffing. Predicting the in-socket residual limb temperature by monitoring the temperature between socket and liner rather than skin and...
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Commercial lower limb prostheses or orthotics help patients achieve a normal life. However, patients who use such aids need prolonged training to achieve a normal gait, and their fatigability increases. To improve patient comfort, this study proposed a method of predicting gait angle using neural networks and EMG signals. Experimental results using our method show that the absolute average erro...
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ژورنال
عنوان ژورنال: IEEE Journal of Biomedical and Health Informatics
سال: 2016
ISSN: 2168-2194,2168-2208
DOI: 10.1109/jbhi.2014.2368774