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Local wavelet-based filtering of electromyographic signals to eliminate the electrocardiographic-induced artifacts in patients with spinal cord injury

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Journal of Biomedical Science and Engineering 2013年第7期6卷 1-13页

作者： Matthew Nitzken nihit bajaj Sevda Aslan Georgy Gimel’farb Ayman El-Baz Alexander Ovechkin BioImaging Laboratory Bioengineering Department University of Louisville Louisville USA Department of Computer Science The University of Auckland Auckland New Zealand Department of Neurological Surgery University of Louisville Louisville USA Frazier Rehab Institute Louisville USA Department of Neurological Surgery University of Louisville Louisville USA Frazier Rehab Institute Louisville USA

Surface Electromyography (EMG) is a standard method used in clinical practice and research to assess motor function in order to help with the diagnosis of neuromuscular pathology in human and animal models. EMG recorded from trunk muscles involved in the activity of breathing can be used as a direct measure of respiratory motor function in patients with spinal cord injury (SCI) or other disorders associated with motor control deficits. However, EMG potentials recorded from these muscles are often contaminated with heart-induced electrocardiographic (ECG) signals. Elimination of these artifacts plays a critical role in the precise measure of the respiratory muscle electrical activity. This study was undertaken to find an optimal approach to eliminate the ECG artifacts from EMG recordings. Conventional global filtering can be used to decrease the ECG-induced artifact. However, this method can alter the EMG signal and changes physiologically relevant information. We hypothesize that, unlike global filtering, localized removal of ECG artifacts will not change the original EMG signals. We develop an approach to remove the ECG artifacts without altering the amplitude and frequency components of the EMG signal by using an externally recorded ECG signal as a mask to locate areas of the ECG spikes within EMG data. These segments containing ECG spikes were decomposed into 128 sub-wavelets by a custom-scaled Morlet Wavelet Transform. The ECG-related subwavelets at the ECG spike location were removed and a de-noised EMG signal was reconstructed. Validity of the proposed method was proven using mathematical simulated synthetic signals and EMG obtained from SCI patients. We compare the Rootmean Square Error and the Relative Change in Variance between this method, global, notch and adaptive filters. The results show that the localized wavelet-based filtering has the benefit of not introducing error in the native EMG signal and accurately removing ECG artifacts from EMG signals.

关键词： EMG De-Noising ECG Local Wavelet Filtering

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Mycotic Aneurysm from Abiotrophia Defectiva Causing Subdural Hematoma with Herniation

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Advances in Infectious Diseases 2022年第4期12卷 715-720页

作者： nihit Mehta Matthew Baskind Keith Collins Jose Maria Acostamadiedo Family Medicine Residency Champlain Valley Physicians Hospital University of Vermont Health Network Plattsburgh NY USA Champlain Valley Physicians Hospital University of Vermont Health Network Plattsburgh NY USA FitzPatrick Cancer Center Champlain Valley Physicians Hospital University of Vermont Health Network Plattsburgh NY USA

This case describes a ruptured mycotic aneurysm from Abiotrophia defectiva that led to a subdural hematoma and subsequent herniation. In the current literature, there have been cases highlighting mycotic aneurysms leading to subdural hematoma. Several others describe similar topics;however, none were caused by Abiotrophia defectiva, leading to a herniation event. Abiotrophia defectiva, while not common, is an insidious bacterium that is difficult to detect and leads to a poor prognosis. In their paper, Ding et al. described a hematoma formation from a ruptured aneurysm of the distal middle cerebral artery [1]. Similar cases include two instances published by Boukobza et al. [2]. These prior articles and our report summarizes that this diagnosis typically warrants careful evaluation of etiologies and close management of the patient.

关键词： Abiotrophia Defectiva Subdural Hematoma with Herniation Mycotic Aneurysm

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