Evolution of a capacitive electromyography contactless biosensor: Design and modelling techniques

Charn Loong Ng, Md. Mamun Ibne Reaz

Research output: Contribution to journalReview article

Abstract

Musculoskeletal disorders (MSDs) and ergonomic issues have long-term impacts on the human body, affecting patient health and the world's economy. To address these issues, electromyography (EMG) can provide detailed information of human muscular activity during the stages of diagnosis and recovery and for general monitoring. The conventional way to extract EMG signals from the human body requires a professional setup and complex post-signal processing and may cause side effects to the subject's body. This paper focuses on two prominent areas: it provides an in-depth analysis of the EMG signal characteristics, and a detailed discussion of the research and development of the hardware for a contactless EMG biosensor. This study provides an extensive review and performance comparison on the capacitive EMG sensors developed by different researchers. It also presents guidelines and parameters for future researchers to comply with in developing a practical and rugged contactless EMG biosensor.

Original languageEnglish
Pages (from-to)460-471
Number of pages12
JournalMeasurement: Journal of the International Measurement Confederation
Volume145
DOIs
Publication statusPublished - 1 Oct 2019

Fingerprint

electromyography
Electromyography
bioinstrumentation
Biosensors
human body
human factors engineering
economy
Ergonomics
research and development
health
signal processing
Signal processing
hardware
recovery
Health
disorders
Hardware
Recovery
Monitoring
causes

Keywords

  • Biosensor
  • Capacitive
  • Electrode
  • Electromyography

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

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abstract = "Musculoskeletal disorders (MSDs) and ergonomic issues have long-term impacts on the human body, affecting patient health and the world's economy. To address these issues, electromyography (EMG) can provide detailed information of human muscular activity during the stages of diagnosis and recovery and for general monitoring. The conventional way to extract EMG signals from the human body requires a professional setup and complex post-signal processing and may cause side effects to the subject's body. This paper focuses on two prominent areas: it provides an in-depth analysis of the EMG signal characteristics, and a detailed discussion of the research and development of the hardware for a contactless EMG biosensor. This study provides an extensive review and performance comparison on the capacitive EMG sensors developed by different researchers. It also presents guidelines and parameters for future researchers to comply with in developing a practical and rugged contactless EMG biosensor.",
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N2 - Musculoskeletal disorders (MSDs) and ergonomic issues have long-term impacts on the human body, affecting patient health and the world's economy. To address these issues, electromyography (EMG) can provide detailed information of human muscular activity during the stages of diagnosis and recovery and for general monitoring. The conventional way to extract EMG signals from the human body requires a professional setup and complex post-signal processing and may cause side effects to the subject's body. This paper focuses on two prominent areas: it provides an in-depth analysis of the EMG signal characteristics, and a detailed discussion of the research and development of the hardware for a contactless EMG biosensor. This study provides an extensive review and performance comparison on the capacitive EMG sensors developed by different researchers. It also presents guidelines and parameters for future researchers to comply with in developing a practical and rugged contactless EMG biosensor.

AB - Musculoskeletal disorders (MSDs) and ergonomic issues have long-term impacts on the human body, affecting patient health and the world's economy. To address these issues, electromyography (EMG) can provide detailed information of human muscular activity during the stages of diagnosis and recovery and for general monitoring. The conventional way to extract EMG signals from the human body requires a professional setup and complex post-signal processing and may cause side effects to the subject's body. This paper focuses on two prominent areas: it provides an in-depth analysis of the EMG signal characteristics, and a detailed discussion of the research and development of the hardware for a contactless EMG biosensor. This study provides an extensive review and performance comparison on the capacitive EMG sensors developed by different researchers. It also presents guidelines and parameters for future researchers to comply with in developing a practical and rugged contactless EMG biosensor.

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