Precise Motor Function Monitor for Parkinson Disease using Low Power and Wearable IMU Body Area Network

Abstract

The Inertial Measurement Unit (IMU) has been widely used in precision movement analysis and evaluation and applied in the diagnosis and treatment of many diseases. Parkinson disease (PD) is the most common neurodegenerative movement disorder with rest tremor, bradykinesia, and rigidity as the cardinal motor manifestations. A novel algorithm system has been derived to detect all the motor examinations of the Unified Parkinson's Disease Rating Scale (UPDRS), of which the accuracy has been verified by high-speed camera system. This system includes three categories of detection parameters: the trajectory parameters, time-frequency parameters, angle parameters. Average accuracy for the detection with IMU can reach to 87%, 90% and 95%, respectively.With 17 patients’ trial tests, it’s observed that there do have certain differences of the movement parameters in between patients and age 20th youth controls. For 3.6 Pronation and Supination, the rotation speed of normal control can be twice of the patients and the deviation of the amplitude can reach to 45 degrees of patient in comparison to 5 degrees of normal control. Also, for low power and wearable requirements, this processing system have been designed with chip solution and be implemented with TSMC 0.18 mm CMOS process. The power consumption is 0.3713mW and the chip area is 4.2mm by 4.2mm which will be well suited to wearable applications.Our results showed that this processing system could precisely measure the temporal patterns of speed and amplitude decay of the movements, and successfully capture the severity and difference of bradykinesia and poor coordination of the patients of PD.