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Journal : Journal of Electronics, Electromedical Engineering, and Medical Informatics

Analysis of Multimodal Biosignals during Surprise Conditions Correlates with Psychological Traits Setiawan, Hendra; Miladiyah, Isnatin; Nuryadi, Satyo; Sahroni, Alvin
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 1 (2024): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i1.346

Abstract

Surprise can simultaneously represent bad or good, pleasant or unpleasant, with the same experiences since understanding how humans' physiological qualities link with their emotional or mental health is required. We conducted quantitative research to concisely correlate mental stress and emotional issues by measuring brain activity, breathing, and heart rate in real time while executing specialized audio-visual stimulation to elicit a surprise event. We evaluated the frequency and temporal domain characteristics to determine if physiological measurements matched biochemical metrics and subjective stress assessments during the elicit surprise condition experiment. We discovered that the brain is still preferable to most in recognizing a human's psychological changes over a short period of time. The temporal (T3) (r = 0.544, p = 0.005) and frontal (Fz) (r = 0.519, p = 0.008) regions were shown to correlate with salivary amylase activity. In comparison to other channels, there was a negative association between stress perception and the occipital site (O1, r = -0.618, p = 0.001). We also found that heart rate variability activity correlates with arousal perception. By looking at specific multimodal biosignals, it is possible to understand human psychological traits by recording specific physiological signals for daily mental health monitoring.
Single Channel Electrogastrogram Frequency Domain Analysis and Correspondence to Brain Activity in a Resting State Condition Sahroni, Alvin; Miladiyah, Isnatin; Adinandra, Sisdarmanto; Sofyan, Pramudya Rakhmadyansyah; Anora, Levina; Hanafi, Mhd.
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 1 (2025): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i1.590

Abstract

An electrogastrogram (EGG) is a well-known method to record gastric myoelectrical activity. However, some researchers believe that EGG measures the gastric slow wave and can be used as a surrogate for gastric motility, whereas others claim that EGG is flawed. Our proposed study broadens the scope of EGG research, particularly by offering the opportunity to observe gut-brain signaling pathways, which can enhance our understanding of brain properties and behavior in response to psychological changes. This study focuses on how to confirm single-channel EGG's setup with public datasets and previous studies and how to observe the relationship of gut-brain axis pathways. We gathered four subjects utilizing a 250 Hz bioamp to monitor brain wave activity on the head and scalp including gastric activity, and used Zenodo's EGG dataset for the confirmation phase. We placed single-channel electrodes around the stomach to investigate gastric myoelectrical activity and extracted the EGG's power spectrum using a specific band-pass filter (0.03 - 0.07 Hz). We extracted the EGG's power spectrum and dominant frequency as our main features. Regarding brain electricity activities, we applied the FIR filter to obtain each brain wave's properties. We found that each subject had different responses during pre- and postprandial, both from primary and secondary resources. We found that the increase in EGG activity caused a change in EEG properties, particularly in the alpha band (8-12 Hz). Additionally, the EEG P3 site in the parietal lobe followed the power change rates of the EGG between 0 to 0.015 of relative power. We conclude that P3 and slow-wave gastric movement from EGG correspond to each other and reflect gut-brain axis pathways. However, future studies with larger samples must strengthen our findings according to the gut-brain axis pathways in the P3 site and EGG
Processing and Analysis of Electrogastrogram (EGG) Signals to Evaluate Stressor and Motion Sickness Conditions in Virtual Reality Environments Hanafi, MHD.Hanafi; Sahroni, Alvin; Kusumadewi, Sri; Setiawan, Hendra; Firdaus, Firdaus
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 2 (2026): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i2.1531

Abstract

Virtual Reality (VR) technology has rapidly evolved and is widely utilized in healthcare, education, and entertainment. However, its use often induces motion sickness and stressor, which may reduce user comfort and performance. This study aims to determine whether VR exposure triggers such conditions, evaluate them using electrogastrogram (EGG) signals, and identify the most effective EGG features as physiological indicators. EGG signals from nine healthy male subjects were recorded using two channels under three experimental conditions (pre, stimulation, and post) during both pre-prandial and post-prandial phases. Frequency-domain analysis was performed using the Fast Fourier Transform (FFT) within the 0.03-0.07 Hz range to extract dominant frequency, dominant magnitude, mean frequency, average magnitude, and band power. Subjective evaluation was conducted using a five-point Likert scale. The results indicate that VR exposure induced motion sickness and stressor, with Likert scores ranging from 3 to 5. Three normalized magnitude features of the EGG signal on channel 0 during the pre-prandial stimulation phase exhibited significant positive correlations with motion sickness: dominant magnitude (r = 0.841, p = 0.005), average magnitude (r = 0.742, p = 0.022), and band power (r = 0.788, p = 0.012). These features also showed significant correlations with stressor levels: dominant magnitude (r = 0.895, p = 0.001), average magnitude (r = 0.780, p = 0.013), and band power (r = 0.821, p = 0.007). These findings confirm that VR exposure can induce motion sickness and act as a physiological stressor, with three EGG magnitude features serving as reliable physiological indicators. The lower corpus extending to the antrum and pylorus was identified as the most representative electrode placement area, and the pre-prandial phase was found to be more susceptible to VR-induced disturbances than the post-prandial phase