A Portable Wireless sEMG and Inertial Acquisition System for Human Activity Monitoring
作者： Giorgio Biagetti , Paolo Crippa , Laura Falaschetti , Simone Orcioni , Claudio Turchetti
DOI: 10.1007/978-3-319-56154-7_54
关键词:
摘要: This paper presents a low-cost portable wireless system specifically designed to acquire both surface electromyography (sEMG) and accelerometer signals for healthcare applications, sport, fitness activities. The system, consists of several ultralight sensing nodes that acquire, amplify, digitize, transmit the sEMG one or more base stations through 2.4 GHz radio link using custom-made communication protocol on top IEEE 802.15.4 physical layer. Additionally, can be easily configured capture process many other biological such as electrocardiographic (ECG) signal. Each station is connected USB control PC running user interface software viewing, recording, analysing data.
springer.com
sci-hub.st 参考文章(29)
Luca Oneto, Xavier Parra, Alessandro Ghio, Davide Anguita, Jorge Luis Reyes-Ortiz, Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic Journal of Universal Computer Science. ,vol. 19, pp. 1295- 1314 ,(2013) , 10.3217/JUCS-019-09
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simone Orcioni, Claudio Turchetti, A Rule Based Framework for Smart Training Using sEMG Signal International Conference on Intelligent Decision Technologies. pp. 89- 99 ,(2015) , 10.1007/978-3-319-19857-6_9
Cesar Torres-Huitzil, Marco Nuno-Maganda, Robust smartphone-based human activity recognition using a tri-axial accelerometer latin american symposium on circuits and systems. pp. 1- 4 ,(2015) , 10.1109/LASCAS.2015.7250435
Sung yoon Lee, Kyung hyun Koo, Yong Lee, Jong hoon Lee, Jae hyo Kim, Spatiotemporal analysis of EMG signals for muscle rehabilitation monitoring system ieee global conference on consumer electronics. pp. 1- 2 ,(2013) , 10.1109/GCCE.2013.6664758
Jeroen Bergmann, Alison McGregor, Tinaz Mehta, Miguel Hernandez, Alison Burdett, Irina Spulber, Pantelis Georgiou, Amir Eftekhar, Chris Toumazou, Lynsey Duffell, Frequency analysis of wireless accelerometer and EMG sensors data: Towards discrimination of normal and asymmetric walking pattern international symposium on circuits and systems. pp. 2645- 2648 ,(2012) , 10.1109/ISCAS.2012.6271849
Cagatay Catal, Selin Tufekci, Elif Pirmit, Guner Kocabag, On the use of ensemble of classifiers for accelerometer-based activity recognition soft computing. ,vol. 37, pp. 1018- 1022 ,(2015) , 10.1016/J.ASOC.2015.01.025
Daniel Rodriguez-Martin, Albert Samà, Carlos Perez-Lopez, Andreu Català, Joan Cabestany, Alejandro Rodriguez-Molinero, SVM-based posture identification with a single waist-located triaxial accelerometer Expert Systems With Applications. ,vol. 40, pp. 7203- 7211 ,(2013) , 10.1016/J.ESWA.2013.07.028
Qian Wang, Xiang Chen, Ruizhi Chen, Yuwei Chen, Xu Zhang, Electromyography-Based Locomotion Pattern Recognition and Personal Positioning Toward Improved Context-Awareness Applications systems man and cybernetics. ,vol. 43, pp. 1216- 1227 ,(2013) , 10.1109/TSMC.2013.2256857
Stefan Dernbach, Barnan Das, Narayanan C. Krishnan, Brian L. Thomas, Diane J. Cook, Simple and Complex Activity Recognition through Smart Phones intelligent environments. pp. 214- 221 ,(2012) , 10.1109/IE.2012.39
Giorgio Biagetti, Paolo Crippa, Alessandro Curzi, Simone Orcioni, Claudio Turchetti, Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM–FM Decomposition IEEE Journal of Biomedical and Health Informatics. ,vol. 19, pp. 1672- 1681 ,(2015) , 10.1109/JBHI.2014.2356340