Abstract
Electromyography (EMG) and ultrasonography have been widely used for skeletal muscle assessment. The muscle thickness change detected using ultrasound has been recently defined as sonomyography. In this study, the performances of one dimensional sonomyography (1-D SMG) and surface EMG signal in tracking the guided patterns of wrist extension were compared, and the potential of 1-D SMG for skeletal muscle assessment and prosthesis control was investigated. Sixteen normal subjects were instructed to perform the wrist extension under the guidance of displayed sinusoidal, square and triangular waveforms at movement rates of 20, 30, 50 cycles per minute. SMG and EMG root mean squares (RMS) were collected from the extensor carpi radialis respectively and their RMS errors in relation to the guiding signals were compared. Paired t-test showed that the RMS errors of SMG tracking were significantly smaller than those of EMG. The results suggest that SMG signal has great potential to be an alternative method of EMG to evaluate muscle function and control prosthesis.
Original language | English |
---|---|
Title of host publication | Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008 |
Pages | 235-238 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 23 Sept 2008 |
Event | 5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008 - Hong Kong, Hong Kong Duration: 1 Jun 2008 → 3 Jun 2008 |
Conference
Conference | 5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008 |
---|---|
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 1/06/08 → 3/06/08 |
ASJC Scopus subject areas
- Biomedical Engineering
- Electrical and Electronic Engineering