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Respiratory disorder is a highly prevalent condition associated with many adverse health problems. As the current means of diagnosis are obtrusive and ill-suited for real-time m-health applications, we explore a convenient and low-cost automatic approach that uses wearable microelectromechanical system sensor technology. The proposed system introduces the use of motion sensors to detect the changes...
In order to early diagnosis and treatment of knee abnormalities, in this study an automated diagnosis system using wearable EMG and goniometer sensors is proposed. Eight different classification techniques are investigated with a set of time-domain features. The experiments are conducted with 22 subjects' data and the best accuracy of 97.17% is achieved based on the Bagged Decision Trees classifier...
People who have suffered a motor function disability need to practice appropriate rehabilitation treatments. Motion sensors such as accelerometer and gyroscope in fact are increasingly being embedded in wearable computing devices and can provide a quantitative measure of the human movement for assessment. In this paper, we present a low-cost eRehabilitation platform employing efficient algorithms...
This paper considers the problem of self-calibration of multi-sensor systems for health care cyber-biological systems, such as closed-loop glucose control. The recalibration method is performed periodically in the cloud resulted in significant advantages over traditional methods, including increased on-line accessibility and fast automated recovery from failures. Since the size of dataset has direct...
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