$S$ -Band Sensing-Based Motion Assessment Framework for Cerebellar Dysfunction Patients

Cerebellar dysfunction (CD) is a neurological disorder that involves a number of abnormalities that affect the movement of various parts of the body such as gait abnormality or tremors in limbs such as hands or feet while reaching out for something. A user-friendly tool that can objectively evaluate the aforementioned body movements in CD patients can aid the clinicians for an objective assessment in clinical settings. The objective of this paper is to develop a method that quantifies the gait abnormality and tremors in hand using a S-band sensing technique. The S-band sensing essentially leverages small wireless devices such as network interface card, omnidirectional antenna, and router operating at 2.4 GHz to record the wireless channel data. Specifically, the aim is to use the variances of amplitude and phase information induced due to the human body movements. Each body movement leaves a unique imprint in the form of wireless channel information that is used to identify abnormalities in body motions. The proposed framework applied a linear transformation on raw phase data for calibrations since the data retrieved using the interface card contain noise and is inapplicable for motion detection. The support vector machine used to classify the data achieved high classification accuracy.