Wireless Data Collection of Surface Electromyography Signals
Paper
Paper/Presentation Title | Wireless Data Collection of Surface Electromyography Signals |
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Presentation Type | Paper |
Authors | Zhu, Yuting and Kilby, Jeff |
Journal or Proceedings Title | Proceedings of the 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2011) |
Number of Pages | 4 |
Year | 2011 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | China |
Digital Object Identifier (DOI) | https://doi.org/10.1109/wicom.2011.6040369 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/abstract/document/6040369 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/6036127/proceeding |
Conference/Event | 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2011) |
Event Details | 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2011) Parent International Conference on Wireless Communications, Networking and Mobile Computing Delivery In person Event Date 23 to end of 25 Sep 2011 Event Location Wuhan, China |
Abstract | The data collection of surface electromyography signals has required the sensor, amplifier and data acquisition card to be all wired together restricting the movement of the subject being tested. With the advancement of wireless technology such as Bluetooth, IEEE 802.15.4 and ZigBee the wire link between the amplifier and computer analysing and storing the data can be removed. Using Bluetooth will require new circuitry of a microcontroller with an analogue-digital convertor, a RS232 serial link, transceiver and a USB dongle transceiver for the wireless link. The IEEE 802.15.4 will require a single chip microcontroller to perform the analogue-digital convertor and also a transceiver for the wireless link to an USB dongle transceiver. ZigBee will build on the IEEE 802.15.4 configuration to allow multichannel collection of signals as a wireless sensor network. |
Keywords | sEMG; Wireless; Bluetooth; IEEE 802.15.4; ZigBee |
ANZSRC Field of Research 2020 | 400303. Biomechanical engineering |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Auckland University of Technology, New Zealand |
https://research.usq.edu.au/item/xv8v7/wireless-data-collection-of-surface-electromyography-signals
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