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Research on utilization of virtual reality as optical stimulation in electronystagmography

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Kostorz I. , Kowalski W. , Ludwig Z.

Journal of Medical Informatics & Technologies

2016

tom Vol. 25

9--18

The paper presents a research on the utilization of an up-to-date virtual reality set as a stimulation during an electronystagmography examination. The main aim of the research was to test whether an optical stimulation generated by means of virtual reality presented in a helmet-mounted display is comparable with the same methods of stimulation generated in a human natural environment. The experiments were conducted using an amplifier of electronystagmography signals, an acquisition software and the Oculus Development Kit 2 virtual reality set. As traditional stimuli were used animations displayed on the LCD monitor screen. The electronystagmograms registered with a virtual optokinetic stimulation were compared with results obtained using traditional stimulating methods. Additionally, a questionnaire on comfort was conducted among participants of the experiment. To asses the similarity of signals registered using both methods the Pearson correlation coefficient was calculated and the standard deviation. The results of tests showed that electronystagmograms registered during the virtual stimulation were consistent with the records registered during the traditional stimulation. Moreover, the results of the questionnaire on comfort while using a virtual reality headset are very encouraging showing that headset is at least neutral for participants.

Detection of waves of Auditory Brainstem Responses using IPAN99 algorithm

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Kostorz I. , Kowalski W. , Ludwig Z. , Zając J.

Journal of Medical Informatics & Technologies

2013

tom Vol. 22

219--225

The new method of automatic determination the I, III and V waves of Auditory Brainstem Responses is presented in the paper. The brainstem response arises as a result of acoustic stimulation of auditory system. The main aim of the presented study is to analyse an effectiveness of using IPAN99 algorithm for automatic wave I, III and V determination. The presented results of research show that the IPAN99 algorithm combined with time domain constraints can be useful for this application.

Preliminary research on application of virtual reality as optical stimulation in videonystagmography

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Kostorz I. , Kowalski W. , Ludwig Z.

Journal of Medical Informatics & Technologies

2018

tom Vol. 27

9--20

The paper presents a research on the utilization of a virtual reality as means of stimulation during a videonystagmography examination. The main aim of the research was to test whether an optical stimulation generated by means of virtual reality presented in a helmet-mounted display is applicable to the videonystagmography examination. Eye position was recorded by an infrared camera mounted in virtual reality head-set. Visual stimulations were first performed on a LCD display mounted in VR goggles and then on a LCD monitor. Tracking of a moving field was a subject's task. Target horizontal and vertical jumps were used for calibration. Visual stimuli applied were pendulum target movement and moving vertical stripes. The results of tests showed that pupil positions registered during the virtual stimulation were consistent with those registered during the traditional stimulation.

A preliminary study of the utilization of a low resolution ECG signal from handheld ECG monitor

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Kostorz I. , Kowalski W. , Ludwig Z. , Zając J. , Piasecki A. , Socha M. , Górka W.

Journal of Medical Informatics & Technologies

2015

tom Vol. 24

191--198

The paper presents the preliminary study of the utilization of a low resolution ECG signal analysis. The analysis was performed on the signals obtained from a hand-held ECG monitor usually used in primary health care. The aim. The main aim of the study was a registration of series of data by volunteers within couple of months and determination of signal quality and main ECG parameters as follows: Q, R, S waves, QRS duration as well as the end of PQ and the beginning of ST segment. Additionally, the heart rate variability was determined. Materials and methods. The data was registered by 12 volunteers aged from 35 to 55. The ECG tests were carried out for 7 months. The sample rate of the signal was 100 Hz. To determine the ECG parameters the signal processing and statistical methods was used. Results. The sensitivity of the following ECG parameters were: R wave detection - 99,2 %, Q wave detection - 99,1 %, S wave detection - 99,0 %, QRS duration - 99,2 % respectively.