A Low Noise Capacitive Electromyography Monitoring System for Remote Healthcare Applications
| Author | Ng, Charn Loong |
| Author | Reaz, Mamun Bin Ibne |
| Author | Chowdhury, Muhammad Enamul Hoque |
| Available date | 2023-04-17T06:57:48Z |
| Publication Date | 2020 |
| Publication Name | IEEE Sensors Journal |
| Resource | Scopus |
| Abstract | Remote healthcare monitoring (RHM) is an emerging trend in the biomedical field that leverages on the advancement of Internet of Things (IoT) to enhance the coverage of healthcare services around the world. An RHM system with the electromyography (EMG) measurement capability has great potential in improving the efficiency of medical treatment and physical therapy for chronic inflammatory myopathies. Conventional EMG measurement is often invasive, complex and require an ever-present medical officer. This paper proposes a capacitive electromyography (CEMG) monitoring system to overcome the limitations of the contact EMG monitoring system by using the capacitive sensing methodology. The system architecture and circuit design are detailed in this paper and the hardware implementation with experimental results are presented. This CEMG monitoring system achieved extremely low noise floor of less than 2 mV. Its performance also highly correlates with the conventional wet contact electrode without requiring any post signal processing. Therefore, this CEMG monitoring system is ideal for remote healthcare monitoring applications. 2001-2012 IEEE. |
| Sponsor | Manuscript received November 11, 2019; revised November 25, 2019; accepted November 25, 2019. Date of publication December 2, 2019; date of current version February 14, 2020. This work was supported in part by Research University Grant, Univer-siti Kebangsaan Malaysia, under Grant GUP-2018-141, and in part by the Qatar National Research Foundation (QNRF) under Grant NPRP12s-0227-190164. The associate editor coordinating the review of this article and approving it for publication was Prof. Tarikul Islam. (Corresponding author: Charn Loong Ng.) C. L. Ng and M. B. I. Reaz are with the Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia (e-mail: charnloong@gmail.com; mamun.reaz@gmail.com). |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | biomedical electrodes biosensor capacitive sensor Electromyography |
| Type | Article |
| Pagination | 3333-3342 |
| Issue Number | 6 |
| Volume Number | 20 |
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Electrical Engineering [2466 items ]