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This work describes a hybrid adaptive filtering technique, designed to optimize the removal of the electrocardiogram (ECG) from surface electromyography (sEMG) recordings. Using the adaptive noise cancellation technique (ANC), we minimize the error gradient based on combined Time-Frequency filtering enhancements. The validation on artificially prepared signals with a real data basis shows better frequency...
In this paper a new method for removing of Power Line Interference (PLI) and ECG Signal from EMG signal is proposed. This method is designed based on filtering of EMG signal corrupted with interference of power line and ECG (EMG+PLI+ECG), by using Matching Pursuit (MP) that is a time-frequency transform. For this reason, according to the cosine nature of PLI and alternative mode of ECG signal, Cosine...
Although EEG is intended to record cerebral activity, extra-cerebral activities from sites other than the brain are also recorded. Extraneous activities, known as artifacts, are generated by biological and non-biological sources. Knowing the difference between true cerebral activity and extraneous artifacts is critical in the interpretation of neonatal EEG. And, because artifacts can mimic true brain...
Sleepiness is a main causal factor for accidents and daytime malfunction. In this study we checked the feasibility of a new, ECG based method to detect the propensity to fall asleep while driving, using a passive Maintenance of Wakefulness Test (MWT) and an active Driving Simulation (DS) during increasing sleep deprivation conditions. Microsleeps (MS), and falling asleep (FA) events, were detected...
Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper investigates the potential of physiological signals as reliable channels for emotion recognition. All essential stages of an automatic recognition system are discussed, from the recording of a physiological data set to a feature-based...
For customizing the assistance scheme of a torque-assisted bicycle, we estimated physical activity during cycling with ECG and surface EMG for the circuit including a steep uphill section near the middle and compared it with the vehicle data. Using the respiratory-sinus-arrhythmia-related power ratio in the fluctuation of the R-R interval, prRSA and a muscular fatigue index, we classified physical...
For customizing the assistance scheme of a torque-assisted bicycle, we estimated physical activity during cycling with ECG and surface EMG for the circuit including a steep uphill section near the middle and compared it with the vehicle data. Using the respiratory-sinus-arrhythmia-related power ratio in the fluctuation of the R-R interval, prRSA and a muscular fatigue index, we classified physical...
Surface electromyography (sEMG) recorded from the trunk area may reflect underlying muscular function, and is the current standard for in vivo functional examination. However, sEMG of this area, including the low back musculature, usually encounters substantial interference from strong cardiac signals. It is therefore imperative to remove electrocardiogram (ECG) interference from sEMG data. This paper...
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