Towards a wearable low-cost ultrasound device for classification of muscle activity and muscle fatigue

Author:

Brausch Lukas1,Hewener Holger1,Lukowicz Paul2

Affiliation:

1. Fraunhofer Institute for Biomedical Engineering, Sankt Ingbert, Germany

2. German Research Center for Artificial Intelligence, Kaiserslautern, Germany

Publisher

ACM

Reference12 articles.

1. Lukas Brausch Holger Hewener and Paul Lukowicz. 2019. Muscle Contraction A-Scan data annotated by volunteers. Data uploaded to OpenML.org https://www.openml.org/d/41971. Lukas Brausch Holger Hewener and Paul Lukowicz. 2019. Muscle Contraction A-Scan data annotated by volunteers. Data uploaded to OpenML.org https://www.openml.org/d/41971.

2. Hassan Ismail Fawaz Germain Forestier Jonathan Weber Lhassane Idoumghar and Pierre-Alain Muller. 2019. Deep learning for time series classification: a review. Data Mining and Knowledge Discovery (2019) 1--47. 10.1007/s10618-019-00619-1 Hassan Ismail Fawaz Germain Forestier Jonathan Weber Lhassane Idoumghar and Pierre-Alain Muller. 2019. Deep learning for time series classification: a review. Data Mining and Knowledge Discovery (2019) 1--47. 10.1007/s10618-019-00619-1

3. Jing-Yi Guo Yong-Ping Zheng Qing-Hua Huang and Xin Chen. 2008. Dynamic monitoring of forearm muscles using one-dimensional sonomyography system. Journal of rehabilitation research and development (2008). Jing-Yi Guo Yong-Ping Zheng Qing-Hua Huang and Xin Chen. 2008. Dynamic monitoring of forearm muscles using one-dimensional sonomyography system. Journal of rehabilitation research and development (2008).

4. Jing-Yi Guo Yong-Ping Zheng Hong-Bo Xie and Terry K Koo. 2013. Towards the application of one-dimensional sonomyography for powered upper-limb prosthetic control using machine learning models. Prosthetics and orthotics international 37 1 (2013) 43--49. Jing-Yi Guo Yong-Ping Zheng Hong-Bo Xie and Terry K Koo. 2013. Towards the application of one-dimensional sonomyography for powered upper-limb prosthetic control using machine learning models. Prosthetics and orthotics international 37 1 (2013) 43--49.

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