Hardware System for Real-Time EMG Signal Acquisition and Separation Processing during Electrical Stimulation.
The study aimed to develop a real-time electromyography (EMG) signal acquiring and processing device that can acquire signal during electrical stimulation. Since electrical stimulation output can affect EMG signal acquisition, to integrate the two elements into one system, EMG signal transmitting an...
| Publicado en: | Journal of Medical Systems Vol. 39; no. 9; pp. 1 - 9 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Sep2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925141&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925141 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Sep2015 vid: 39 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925141 115925141 115925141 10.1007/s10916-015-0267-6 115925141 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Hardware System for Real-Time EMG Signal Acquisition and Separation Processing during Electrical Stimulation. aug: au: Hsueh, Ya-Hsin Yin, Chieh Chen, Yan-Hong affil: Department and Institute of Electronic Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou Yunlin 64002 Republic of China sug: subj: Electromyography Taiwan Electric Stimulation Signal Processing, Computer Assisted Equipment Design Human Funding Source Systems Implementation Taiwan ab: The study aimed to develop a real-time electromyography (EMG) signal acquiring and processing device that can acquire signal during electrical stimulation. Since electrical stimulation output can affect EMG signal acquisition, to integrate the two elements into one system, EMG signal transmitting and processing method has to be modified. The whole system was designed in a user-friendly and flexible manner. For EMG signal processing, the system applied Altera Field Programmable Gate Array (FPGA) as the core to instantly process real-time hybrid EMG signal and output the isolated signal in a highly efficient way. The system used the power spectral density to evaluate the accuracy of signal processing, and the cross correlation showed that the delay of real-time processing was only 250 μs. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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