A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis
2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)(2019)
摘要
Continuous monitoring of hand function in individuals with upper limb paresis, such as stroke survivors, could provide a quantitative assessment of their real-world functional performance, which has great potential to enhance the clinical guidance of rehabilitation interventions. In this paper, we explore a novel wearable approach to quantify the amount of hand use by leveraging Radio Frequency Identification (RFID) technologies. We introduce a prototype implementation of our wearable RFID system composed of a wrist-worn reader (antenna) and a small passive tag placed on a fingernail. Then, we discuss a machine learning-based data analytic pipeline that analyzes the backscattered RF signal to estimate the amount of hand use. The accuracy of the system is validated against an optoelectronic motion capture system - the gold standard for human movement analyses - using a dataset collected from five neurologically intact individuals. The proposed wearable RFID system could accurately estimate the amount of hand use with R
2
of 0.67 and Normalized Root Mean Square Error of 7.3%, and shows great potential for clinical applications.
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关键词
RFID,wearable system,remote monitoring,stroke,upper limb,paresis,rehabilitation
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