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Journal of Medical Engineering & Technology Volume 37, 2013 - Issue 8
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Research Article

Artificial neural network-based classification of body movements in ambulatory ECG signal

Sachin T. DarjiG. H. Patel College of Engineering and Technology, V.V. Nagar GujaratIndiaCorrespondence[email protected]
&
Rahul K. KherG. H. Patel College of Engineering and Technology, V.V. Nagar GujaratIndia
Pages 535-540 | Received 22 Apr 2013, Accepted 26 Aug 2013, Published online: 17 Oct 2013

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Joseph M. Mahoney & Matthew B. Rhudy. (2019) Methodology and validation for identifying gait type using machine learning on IMU data. Journal of Medical Engineering & Technology 43:1, pages 25-32.
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Articles from other publishers (2)

Thamizhisai Periyaswamy & Mahendran Balasubramanian. (2019) Ambulatory cardiac bio-signals: From mirage to clinical reality through a decade of progress. International Journal of Medical Informatics 130, pages 103928.
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Rahul Kher & Riddhish Gandhi. (2016) Adaptive filtering based artifact removal from electroencephalogram (EEG) signals. Adaptive filtering based artifact removal from electroencephalogram (EEG) signals.

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