Detection of muscle activation through multi-electrode sensing using electrical stimulation
| Autor: | Dae Eun Kim, Seung Jong Kim, SeulGee Kim, Choonghyun Son, Junho Choi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Muscle tissue
0209 industrial biotechnology Materials science Electrical impedance myography Metals and Alloys Stimulation 02 engineering and technology Condensed Matter Physics Surfaces Coatings and Films Electronic Optical and Magnetic Materials Exoskeleton 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine medicine.anatomical_structure Forearm medicine Electrical and Electronic Engineering Instrumentation Bioelectrical impedance analysis Electrical impedance tomography Electrical impedance 030217 neurology & neurosurgery Biomedical engineering |
| Zdroj: | Sensors and Actuators A: Physical. 275:19-28 |
| ISSN: | 0924-4247 |
| DOI: | 10.1016/j.sna.2018.03.030 |
| Popis: | The need to assess muscle activation and intention recognition in the design of prosthetic or exoskeleton robots has recently increased in rehabilitation medical research. Assessment of the muscle activation has an important role in the control of wearable devices. Such application requires estimating a patient's intention through the detection of their muscle activation. Previously developed techniques, namely, bioelectrical impedance analysis, electrical impedance myography, electrical impedance tomography, and a surface electromyogram, have been used in the detection of muscle activation. However, these techniques tend to have difficulty in assessing the muscle activation. A biopsy needle can be used to sense the muscle activation in an invasive manner. We propose a new method for detecting the muscle activation using multi-electrode sensing with electrical stimulation, but without a biopsy needle. Electrical stimulation is applied to the skin of a subjects forearm. The signals reflected from their muscles are then measured using multiple electrodes placed on the skin. The forearm skin and its muscles can be modeled as muscle tissue circuits depending on the signal frequency. We verified the proposed method experimentally through isometric muscle contraction, isotonic muscle action, and a frequency response test using various frequencies of the electric stimulation signals. Experiments with eight healthy subjects showed promising results in the detection of muscle activation, which can be applied to prosthetic or exoskeleton robots. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect