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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tam, W. Allen, R.H. Hoe, Y.S.G. Huang, S. Khoo, I.-J. Outland, K.E. Gurewitsch, E.D. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Biomedical Eng., Johns Hopkins Univ., Baltimore, MD, USA (Tam, W.; Allen, R.H.; Hoe, Y.S.G.; Huang, S.; Khoo, I.-J.; Outland, K.E.) |
| Abstract | We report on a wireless, electromyography (EMG)-based, force-measuring system developed to quantify hand-applied loads without interfering with grasping function. A portable surface EMG device detects and converts to voltage output biopotentials generated by muscle contractions in the forearm and upper arm during hand-gripping and traction activities. After amplifying and bandpass filtering, our radio frequency (RF)-based design operating at /spl sim/916 MHz wirelessly transmits those voltages to a data acquisition (DAQ) system up to 20 meters away. A separate calibration system is used to relate an individual user's EMG signal to known pull and clenching forces during specific applications. Real-time EMG data is processed and displayed in software developed with LabView/spl trade/ (National Instruments, Austin, TX). Data is then converted to force data using individual calibration curves. With EMG electrodes placed over any major forearm muscle, calibration curves for seven subjects demonstrated linearity (R/sup 2/ > 0.9) and repeatability (<10% of average slope) to 110 newtons (N). Preliminary results in clinical application on newborn delivery suggest that this approach may be effective in providing an unobtrusive and accurate method of measuring hand-applied forces in applications such as rehabilitation and training. |
| Starting Page | 2121 |
| Ending Page | 2124 |
| File Size | 277138 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1403622 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Force measurement Electromyography Calibration Voltage Muscles Data acquisition Band pass filters Filtering Radio frequency Application software wireless delivery electromyography EMG hand forces newborn obstetrics rehabilitation tactile sensing |
| Content Type | Text |
| Resource Type | Article |
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