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In a recent past, several techniques have been developed to analyze the events contained in the electrohysterogram signals (EHG). But, the most of them focused on offline methods. In this study, we use an online method which is developed previously and known by Dynamic Cumulative Sum (DCS). The approach is applied on real EHG signals database through a 4×4 electrodes matrix. For this purpose, two...
To obtain a high-quality surface electromyography (EMG) recording, the signal must be acquired as far as possible from the muscle innervation and tendon zone. This study presents a technique to indicate better electrode positions for surface EMG of the upper limb muscles during wrist extension and flexion. Ten volunteers participated in this research. Surface EMG signals were collected from flexor...
Epilepsy is a neurological condition affecting 50 million people worldwide. Patients suffer from recurrent seizures that disrupt various aspects of normal life and lead to brain damage and other comorbidities. Unfortunately, up to 40% of epilepsy patients have medically refractory epilepsy (MRE), which is unresponsive to medication. For these patients, the only solution is surgical removal of the...
Automatic electroencephalogram (EEG) interpretation based on referential derivation is easily interfered by ear lobe activation. In order to improve the quantitative EEG interpretation of dominant rhythm, bipolar derivation was proposed in this study. Coherence and phase obtained from cross spectrum analysis were used to determine the focus of dominant rhythm. Existence, peak frequency, amplitude...
Quantitative analysis and detection of abnormalities for electroencephalogram (EEG) recordings during evoked activities are essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming and requires experienced electroencephalographers (EEGers). In this study, a method of automatic EEG interpretation during hyperventilation was proposed. The...
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