Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals
Lower leg muscle activity contributes to body control; thus, monitoring lower leg muscle activity is beneficial to understand the body condition and prevent accidents such as falls. Amplitude features such as the mean absolute values of electromyography (EMG) are used widely for monitoring muscle ac...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/8/1954 |
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| author | Takashi Isezaki Hideki Kadone Arinobu Niijima Ryosuke Aoki Tomoki Watanabe Toshitaka Kimura Kenji Suzuki |
| author_facet | Takashi Isezaki Hideki Kadone Arinobu Niijima Ryosuke Aoki Tomoki Watanabe Toshitaka Kimura Kenji Suzuki |
| author_sort | Takashi Isezaki |
| collection | DOAJ |
| description | Lower leg muscle activity contributes to body control; thus, monitoring lower leg muscle activity is beneficial to understand the body condition and prevent accidents such as falls. Amplitude features such as the mean absolute values of electromyography (EMG) are used widely for monitoring muscle activity. Garment-type EMG measurement systems use electrodes and they enable us to monitor muscle activity in daily life without any specific knowledge and the installation for electrode placement. However, garment-type measurement systems require a high compression area around the electrodes to prevent electrode displacement. This makes it difficult for users to wear such measurement systems. A less restraining wearable system, wherein the electrodes are placed around the ankle, is realized for target muscles widely distributed around the shank. The signals obtained from around the ankle are propagated biosignals from several muscles, and are referred to as <i>distal EMG signals</i>. Our objective is to develop a sock-type wearable sensor for estimating lower leg muscle activity using distal EMG signals. We propose a signal processing method based on multiple bandpass filters from the perspectives of noise separation and feature augmentation. We conducted an experiment for designing the hardware configuration, and three other experiments for evaluating the estimation accuracy and dependability of muscle activity analysis. Compared to the baseline based on a 20-500 Hz bandpass filter, the results indicated that the proposed system estimates muscle activity with higher accuracy. Experimental results suggest that lower leg muscle activity can be estimated using distal EMG signals. |
| first_indexed | 2024-04-11T20:46:27Z |
| format | Article |
| id | doaj.art-84b4b3d735ab4f2fb019ee390e835049 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:46:27Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-84b4b3d735ab4f2fb019ee390e8350492022-12-22T04:04:00ZengMDPI AGSensors1424-82202019-04-01198195410.3390/s19081954s19081954Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG SignalsTakashi Isezaki0Hideki Kadone1Arinobu Niijima2Ryosuke Aoki3Tomoki Watanabe4Toshitaka Kimura5Kenji Suzuki6NTT Service Evolution Laboratories, Nippon Telegraph and Telephone Corporation, 1-1 Hikarinooka, Yokosuka, Kanagawa 239-0847, JapanCenter for Cybernics Research, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, JapanNTT Plala Inc., TOC Ariake East Tower 14F, 3-5-7 Ariake, Koto-ku, Tokyo 135-0063, JapanNTT Service Evolution Laboratories, Nippon Telegraph and Telephone Corporation, 1-1 Hikarinooka, Yokosuka, Kanagawa 239-0847, JapanNTT Service Evolution Laboratories, Nippon Telegraph and Telephone Corporation, 1-1 Hikarinooka, Yokosuka, Kanagawa 239-0847, JapanNTT Communication Science Laboratories, 3-1 Morinosato-Wakamiya, Atsugi, Kanagawa 243-0198, JapanFaculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, JapanLower leg muscle activity contributes to body control; thus, monitoring lower leg muscle activity is beneficial to understand the body condition and prevent accidents such as falls. Amplitude features such as the mean absolute values of electromyography (EMG) are used widely for monitoring muscle activity. Garment-type EMG measurement systems use electrodes and they enable us to monitor muscle activity in daily life without any specific knowledge and the installation for electrode placement. However, garment-type measurement systems require a high compression area around the electrodes to prevent electrode displacement. This makes it difficult for users to wear such measurement systems. A less restraining wearable system, wherein the electrodes are placed around the ankle, is realized for target muscles widely distributed around the shank. The signals obtained from around the ankle are propagated biosignals from several muscles, and are referred to as <i>distal EMG signals</i>. Our objective is to develop a sock-type wearable sensor for estimating lower leg muscle activity using distal EMG signals. We propose a signal processing method based on multiple bandpass filters from the perspectives of noise separation and feature augmentation. We conducted an experiment for designing the hardware configuration, and three other experiments for evaluating the estimation accuracy and dependability of muscle activity analysis. Compared to the baseline based on a 20-500 Hz bandpass filter, the results indicated that the proposed system estimates muscle activity with higher accuracy. Experimental results suggest that lower leg muscle activity can be estimated using distal EMG signals.https://www.mdpi.com/1424-8220/19/8/1954wearabledistal EMG signalmuscle activity estimation |
| spellingShingle | Takashi Isezaki Hideki Kadone Arinobu Niijima Ryosuke Aoki Tomoki Watanabe Toshitaka Kimura Kenji Suzuki Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals Sensors wearable distal EMG signal muscle activity estimation |
| title | Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals |
| title_full | Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals |
| title_fullStr | Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals |
| title_full_unstemmed | Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals |
| title_short | Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals |
| title_sort | sock type wearable sensor for estimating lower leg muscle activity using distal emg signals |
| topic | wearable distal EMG signal muscle activity estimation |
| url | https://www.mdpi.com/1424-8220/19/8/1954 |
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