Rectification of the EMG signal impairs the identification of oscillatory input to the muscle.
نویسندگان
چکیده
Rectification of EMG signals is a common processing step used when performing electroencephalographic-electromyographic (EEG-EMG) coherence and EMG-EMG coherence. It is well known, however, that EMG rectification alters the power spectrum of the recorded EMG signal (interference EMG). The purpose of this study was to determine whether rectification of the EMG signal influences the capability of capturing the oscillatory input to a single EMG signal and the common oscillations between two EMG signals. Several EMG signals were reconstructed from experimentally recorded EMG signals from the surface of the first dorsal interosseus muscle and were manipulated to have an oscillatory input or common input (for pairs of reconstructed EMG signals) at various frequency bands (in Hz: 0-12, 12-30, 30-50, 50-100, 100-150, 150-200, 200-250, 250-300, and 300-400), one at a time. The absolute integral and normalized integral of power, peak power, and peak coherence (for pairs of EMG signals) were quantified from each frequency band. The power spectrum of the interference EMG accurately detected the changes to the oscillatory input to the reconstructed EMG signal, whereas the power spectrum of the rectified EMG did not. Similarly, the EMG-EMG coherence between two interference EMG signals accurately detected the common input to the pairs of reconstructed EMG signals, whereas the EMG-EMG coherence between two rectified EMG signals did not. The frequency band from 12 to 30 Hz in the power spectrum of the rectified EMG and the EMG-EMG coherence between two rectified signals was influenced by the input from 100 to 150 Hz but not from the input from 12 to 30 Hz. The study concludes that the power spectrum of the EMG and EMG-EMG coherence should be performed on interference EMG signals and not on rectified EMG signals because rectification impairs the identification of the oscillatory input to a single EMG signal and the common oscillatory input between two EMG signals.
منابع مشابه
Rectification of the EMG signal impairs the identification of 4 oscillatory input to the muscle 5 6
26 Rectification of EMG signals is a common processing step used when performing EEG-EMG 27 coherence and EMG-EMG coherence. It is well known, however, that EMG rectification alters 28 the power spectrum of the recorded EMG signal (interference EMG). The purpose of this study 29 was to determine whether rectification of the EMG signal influences the capability to capture the 30 oscillatory inpu...
متن کاملThe nature of periodic input to the muscles.
TO THE EDITOR: There is much interest in the synchronization of neural discharge and its potential role in information coding within the nervous system. To assess oscillatory input to the muscle by means of corticospinal (EEG–EMG) coherence and intermuscular (EMG–EMG) coherence, it is common practice to rectify electromyographic (EMG) signals, although the rationale for rectification remains in...
متن کاملRectification is required to extract oscillatory envelope modulation from surface electromyographic signals.
Rectification of surface electromyographic (EMG) recordings prior to their correlation with other signals is a widely used form of preprocessing. Recently this practice has come into question, elevating the subject of EMG rectification to a topic of much debate. Proponents for rectifying suggest it accentuates the EMG spike timing information, whereas opponents indicate it is unnecessary and it...
متن کاملNeural mechanisms of intermuscular coherence: implications for the rectification of surface electromyography.
Oscillatory activity plays a crucial role in corticospinal control of muscle synergies and is widely investigated using corticospinal and intermuscular synchronization. However, the neurophysiological mechanisms that translate these rhythmic patterns into surface electromyography (EMG) are not well understood. This is underscored by the ongoing debate on the rectification of surface EMG before ...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of neurophysiology
دوره 103 2 شماره
صفحات -
تاریخ انتشار 2010