While continuing the cycle of studies on the human motor activity during sleep, we examined 12 male patients with schizophrenia, mental retardation and other mental disorders caused by damage and dysfunction of the brain or somatic illness. Data on motor activity during sleep were obtained using an information-analytical system with registration of the number of movements, the maximum magnitude of jerk and the coefficient of motor activity. The nosological specificity of motor activity during sleep at night in patients with schizophrenia, mental retardation and other mental disorders caused by damage and dysfunction of the brain or somatic illness was revealed.
This paper presents a new system for combined analysis of video-oculography and electroencephalography data during vestibular testing. The experimental setup consists of electroencephalography amplifier using 9EEG system of electrode placement and a low-cost, head-mounted device for video-oculography. The developed system has simple implementation and provides the possibility of simultaneous analysis of the nystagmus and bioelectrical activity of the brain during positional maneuvers, that can be used for differential diagnosis of dizziness and epilepsy.
In order to monitor the state of patients in the psychotherapy department by assessing motor activity during their night sleep, we examined 16 patients of both sexes with diagnosis of a depressive episode and neurotic, stress-related and somatoform disorders. Data on motor activity during sleep were obtained and processed using a special information-analytical system with the following parameters: the number of movements, the maximum jerk magnitude and the coefficient of motor activity. It showed a high efficiency of monitoring the condition of patients in comparison with healthy people by assessing motor activity during their night sleep.
The research aimed to study motor activity in Parkinson's disease during sleep using a data analytical system developed by authors. The study included 8 patients (4 men and 4 women) diagnosed with Parkinson's disease at the age from 59 to 89 years. All patients were clinically evaluated for motor deficit (UPDRS Part III), motor fluctuations (UPDRS Part IV), functional activity (UPDRS Part I), non-motor symptoms (UPDRS Part II) and the clinical global impression. Using our information-analytical system we obtained data on motor activity during sleep and processed it on the following parameters: number of movements, maximum value of the jerk and motor activity coefficient. For the number of movements, the average value for men was 56.7, for women — 47.2. For the maximum value of the jerk, the average value for men was 22.1 g/s, for women — 16.7 g/s. For motor activity coefficient, the average value for men was 27.7%, for women — 22.3%. Thus, the feasibility of using the information analytical system for assessment of motor activity in Parkinson's disease during sleep and the necessity of studying hypokinetic tremors during sleep has been shown.
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