IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Real-time elderly activity monitoring system based on a tri-axial accelerometer
Proceedings of the 2nd International Convention on Rehabilitation Engineering & Assistive Technology
Real-time, model based algorithm implementation for human posture classification
Proceedings of the 6th International Conference on Body Area Networks
Technology and Health Care
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The primary goal of an ambulatory monitoring of motor activities(AMMA) system is to document the occurrence of random andspontaneous motor activities (e.g., sitting, lying, standing,walking, running, etc.) of the ambulatory subject in naturalenvironmental circumstances. Much progress has been made inrecording fidelity, reduction in energy requirement, fixation ofthe accelerometers, equipment size and weight, memory capacity anddata acquisition. At present, our laboratory is interested indeveloping an automated off-line AMMA-signal analysis system. Thesystem has to take care of activity (wave) detection, recognitionof onsets and endpoints of the various activities (waves), andcomputation of a set of relevant clinical parameters (e.g., totalwalking time, number of times rising from a chair, etc.) fromlong-term recorded data. Two methods are currently being used forcomputerizing the off-line analysis system; using an artificialneural network and using a set of selected features extracted fromthe input data. The present paper is aimed at the latter method.The method was successfully applied to long-term recorded data setsof eight male amputees and three other subjects. The primaryresults indicate that the method is a potentially useful tool tocomputerize the off-line analysis system.