可穿戴计算机
电容感应
肌电图
噪音(视频)
灵敏度(控制系统)
计算机科学
工程类
电子工程
电气工程
嵌入式系统
人工智能
物理医学与康复
医学
图像(数学)
作者
Charn Loong Ng,Mamun Bin Ibne Reaz,M.L. Crespo,A. Cicuttin,Mohd Ibrahim Shapiai,Sawal Hamid Md Ali,Noorfazila Binti Kamal,Muhammad E. H. Chowdhury
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:72: 1-13
被引量:6
标识
DOI:10.1109/tim.2023.3281563
摘要
Musculoskeletal diseases and disorders (MSDs) have a significant negative impact on personal health and the worldwide economy. Leveraging the advancement of wearable sensing technology to provide electromyography (EMG) measurement capability can improve the efficiency of the public healthcare strategy to combat MSDs. Integrating conventional EMG contact electrodes into a wearable device is proven to be a challenge because it requires direct electrical contact with the body and has a dependency on the conductive gel. Existing prototypes of capacitive electromyography (cEMG) sensors are typically large and designed with a hybrid printed circuit board. This research paper presents a fully flexible cEMG biomedical sensor with integrated front-end analog circuitry in only a medical plaster size. An efficient moving average squared (MASq) technique is presented to effectively suppress the noise floor and improve the signal quality. The experimental results of measuring EMG signals from flexor carpi radialis, extensor carpi radialis, and biceps brachii using the flexible cEMG biomedical sensor are presented. The post-process data recorded signal-to-noise ratios ranging from 1.8 – 5.7 while achieving practically 100% sensitivity in measuring muscle contractions. Its miniature, rugged, and flexible characteristics allow it to operate as a standalone adhesive plaster sensor or integrate into wearable applications.
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