Description:
- EMG technology
- Supplement to HRV technology
- Spinal injuries and paralysis, cardiac cases, and muscle injuries
Abstract
USC researchers have discovered an improved method to analyze the sinusoidal signals induced by the central pattern generator (CPG) in the spine using surface electromyographic (sEMG) activity. The proposed technique identifies a new, highly specific “doublet” waveform in the D8 subband of the Daubechies 3 (db3) wavelet decomposition of the bursting surface electromyographic (sEMG) signal and superimposes it on the raw signal for comparison. This technique may be used to identify and confirm other bifurcations leading to novel application in tissue engineering or stem cells.
Benefit
- Matches raw EMG and D8 waveform at a different resolution level
- Accurately time-localizes events
- Raw bursting waveforms repeat themselves in an aperiodic manner
- Utilizes Bursting Rate Variability
Market Application
Among adults, 60% to 80% will experience back pain that interferes with their daily life, requiring high healthcare utilization. Treatment options involve pain management or surgery, both of which can risk more serious repercussions such as chronic pain or paralysis. Evidence suggests that the neuronal circuits for voluntary and automatic rhythmic movements (swimming, walking, reaching etc.) lie exclusively in the spine. Understanding the signals induced by these neuronal circuits will be essential for advancing non-invasive technology and rehabilitation for spinal injuries and back pain.
Publications
1. Martin del Campo and Jonckheere 2017
2. Jonckheere et al., 2010
Other
Status: US Patent Issues 11,771,358
Stage of Development: Method developed and tested using case studies