Conference proceeding
Wavelet decomposition for the identification of EMG activity in the gait cycle
2003 IEEE 29th Annual Proceedings of Bioengineering Conference, v 2003-, pp 142-143
2003
Abstract
Accurate determination of the onset and offset of muscle activity in relation to the gait cycle is essential for understanding the pathology of certain neuromuscular disorders and for evaluating the effectiveness of treatment. This study examined the use of the discrete wavelet transform as an automated method for the detection of EMG activity. Comparisons of the wavelet method to a root mean squared algorithm and visual observation indicate that the wavelet method could be ideal for the detection of EMG activity during gait, but further studies are required.
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Details
- Title
- Wavelet decomposition for the identification of EMG activity in the gait cycle
- Creators
- R.T Lauer - Shriners Hospitals for Children - PhiladelphiaC.A Laughton - Shriners Hospitals for Children - PhiladelphiaM Orlin - Shriners Hospitals for Children - PhiladelphiaB.T Smith - Shriners Hospitals for Children - Philadelphia
- Publication Details
- 2003 IEEE 29th Annual Proceedings of Bioengineering Conference, v 2003-, pp 142-143
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000184414900069
- Other Identifier
- 991019174557204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Biomedical
- Instruments & Instrumentation
- Radiology, Nuclear Medicine & Medical Imaging