Teager–Kaiser energy operator signal conditioning improves EMG onset detection
نویسندگان
چکیده
منابع مشابه
Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio.
A temporal analysis of electromyographic (EMG) activity has widely been used for non-invasive study of muscle activation patterns. Such an analysis requires robust methods to accurately detect EMG onset. We examined whether data conditioning, supplemented with Teager-Kaiser Energy Operator (TKEO), would improve accuracy of the EMG burst onset detection. EMG signals from vastus lateralis, collec...
متن کاملAn Android Application for Estimating Muscle Onset Latency using Surface EMG Signal
Background: Electromyography (EMG) signal processing and Muscle Onset Latency (MOL) are widely used in rehabilitation sciences and nerve conduction studies. The majority of existing software packages provided for estimating MOL via analyzing EMG signal are computerized, desktop based and not portable; therefore, experiments and signal analyzes using them should be completed locally. Moreover, a...
متن کاملCross B - energy operator - based signal detection a )
In this paper, two methods for signal detection and time-delay estimation based on the cross B-energy operator are proposed. These methods are well suited for mono-component AM-FM signals. The B energy operator measures how much one signal is present in another one. The peak of the B operator corresponds to the maximum of interaction between the two signals. Compared to the cross-correlation fu...
متن کاملMultiscale Peak Detection in Emg Signal Analysis
Electromyography (EMG) represents a method used for the acquisition of electrical activity produced by skeletal muscles. The following analysis based upon the digital signal processing methods can be used to find relation between their neurological activation and separate motor units firing with the typical frequency of 7-20 Hz. Signals obtained can be used for analysis of biomechanics of the h...
متن کاملPermutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG
Background and Objective. Needle electromyography can be used to detect the number of changes and morphological changes in motor unit potentials of patients with axonal neuropathy. General mathematical methods of pattern recognition and signal analysis were applied to recognize neuropathic changes. This study validates the possibility of extending and refining turns-amplitude analysis using per...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Applied Physiology
سال: 2010
ISSN: 1439-6319,1439-6327
DOI: 10.1007/s00421-010-1521-8