Open Access
ARTICLE
A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson’s Patients
1 School of Instrument Science and Engineering, Southeast University, Nanjing, 211189, China
2 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
3 School of Engineering and Technology, University of Washington, Tacoma, 98402, USA
4 School of Cyber Science and Engineering, Southeast University, Nanjing, 211189, China
* Corresponding Author: Weigong Zhang. Email:
(This article belongs to the Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Computer Modeling in Engineering & Sciences 2021, 126(3), 1217-1238. https://doi.org/10.32604/cmes.2021.014558
Received 08 October 2020; Accepted 19 November 2020; Issue published 19 February 2021
Abstract
Parkinson’s disease (PD) is a very common neurodegenerative disease that occurs mostly in the elderly. There are many main clinical manifestations of PD, such as tremor, bradykinesia, muscle rigidity, etc. Based on the current research on PD, the accurate and convenient detection of early symptoms is the key to detect PD. With the development of microelectronic and sensor technology, it is much easier to measure the barely noticeable tremor in just one hand for the early detection of Parkinson’s disease. In this paper, we present a smart wearable device for detecting hand tremor, in which MPU6050 (MIDI Processing Unit) consisting of a 3-axis gyroscope and a 3-axis accelerometer is used to collect acceleration and angular velocity of fingers. By analyzing the time of specific finger movements, we successfully recognized the tremor signals with high accuracy. Meanwhile, with Bluetooth 4.0 (Bluetooth Low Energy, BLE) and networking terminal ability, tremor data can be transferred to a monitoring device in real time with extremely low energy consumption. The experimental results have shown that the proposed device (smart ring) is convenient for long-term tremor detection which is vital for early detection and treatment for Parkinson’s disease.Keywords
Cite This Article
Citations
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.