Sensor based Detection of Parkinson’s Disease Motor Symptoms

Learning Hand Kinematics for Parkinson's Disease Assessment Using a Multimodal Sensor Glove

“…[18][19][20]22,34,44] On the other hand, researchers were more interested in capturing hand movement information and neglected to incorporate scales for clinical assessment. [34,38,44,47,48] Combining objective measurements and clinical scales can promote the assessment of hand dysfunction, and guide physicians in the development of treatment plans for hand rehabilitation. [43,45,46] Herein, we report a multimodal sensor-based textile glove for monitoring and assessing PD patients' hand function.…”

“…[ 18 , 26 , 27 , 28 , 29 , 30 , 31 ] With the support of machine learning feature extraction, subtle features hidden in complex signals can be recognized, and utilized to implement gesture recognition, and hand function assessment. [ 19 , 25 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ] Existing wearable gloves offer high accuracy in monitoring hand movements (Table S1 , Supporting Information), [ 19 , 21 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 ] yet diverse challenges remain to be resolved. On the one hand, since the majority of research only utilizes a single sensor to capture limited indexes to characterize hand function, this situation is farfetched to characterize the diverse motion characteristics of the hand.…”