Forward-flexed posture detection for the early Parkinson´S disease symptom

With aging society coming, there are more and more elderly people having the aging-related chronic diseases, such as Parkinson´s, and Alzheimer´s diseases. In this study, a time-less linear transformation method is proposed to obtain tilting angles from single axis accelerometer data. By wearing the previous designed posture monitor vest and with the proposed algorithm implemented, this wearable system can detect the forward-flexed posture which is frequently seen in the early symptom of Parkinson´s disease, the festination. Detection of this posture is the necessary function for the festination detection system which can work as a quantitative tool for early detection of Parkinson´s disease.