Susan J. Harkema,Ayman El-Baz,Claudia Angeli,Samineh Mesbah
申请号：
US16466236
公开号：
US20200060572A1
申请日:
2017.12.12
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Embodiments of the present invention relate to a novel approach to automatically detect the occurrence of evoked potentials, quantify the attributes of the signal and visualize the effect across a high number of spinal cord epidural stimulation parameters. This new method is designed to automate the current process for performing this task that has been accomplished manually by data analysts through observation of the raw EMG signals, which is laborious and time-consuming as well as being prone to human errors. The proposed method provides fast and accurate framework for activation detection and visualization of the results within five main algorithms.
