Nazrul Anuar Nayan
Biographic Data
| ID | 9447440 |
|---|---|
| NAME | Nazrul Anuar Nayan |
| GIVEN NAMES | Nazrul Anuar |
| FAMILY NAME | Nayan |
| SIGNATURE | NAYAN N A |
| AFFILIATIONS | National University of Malaysia |
| ORCID | 0000-0001-6657-2982 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Analysis on Four Derivative Waveforms of Photoplethysmogram (PPG) for Fiducial Point Detection
Fiducial points of photoplethysmogram (PPG), first derivative PPG (VPG), and second derivative PPG (APG) are essential in extracting numerous parameters to diagnose cardiovascular disease. However, the fiducial points were usually detected using complex mathematical algorithms. Inflection points from derivatives waveforms are not thoroughly studied, whereas they can significantly assist in peak detection. This study is performed to investigate th…
Covid-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology
At present, COVID-19 is spreading widely around the world. It causes many health problems, namely, respiratory failure and acute respiratory distress syndrome. Wearable devices have gained popularity by allowing remote COVID-19 detection, contact tracing, and monitoring. In this study, the correlation of photoplethysmogram (PPG) morphology between patients with COVID-19 infection and healthy subjects was investigated. Then, machine learning was u…
Investigating The Effects of Dhikr Stimulation on Auditory Brainstem Response
Dhikr has been studied to a limited extent in its impact on human auditory brainstem response. The article describes the processes involved in preparing Dhikr stimuli and analysing the auditory brainstem waves produced. A total of 18 words of 'Allah' recited by male and female Muslims were saved as 16 bit WAV files with sampling rates of 30,000 Hertz (Hz) and 1.09227 seconds (sec) with a sampling rate of 16 bits. Nevertheless, we calibrated and i…
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Analysis on Four Derivative Waveforms of Photoplethysmogram (PPG) for Fiducial Point Detection
Fiducial points of photoplethysmogram (PPG), first derivative PPG (VPG), and second derivative PPG (APG) are essential in extracting numerous parameters to diagnose cardiovascular disease. However, the fiducial points were usually detected using complex mathematical algorithms. Inflection points from derivatives waveforms are not thoroughly studied, whereas they can significantly assist in peak detection. This study is performed to investigate th…
Covid-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology
At present, COVID-19 is spreading widely around the world. It causes many health problems, namely, respiratory failure and acute respiratory distress syndrome. Wearable devices have gained popularity by allowing remote COVID-19 detection, contact tracing, and monitoring. In this study, the correlation of photoplethysmogram (PPG) morphology between patients with COVID-19 infection and healthy subjects was investigated. Then, machine learning was u…
Investigating The Effects of Dhikr Stimulation on Auditory Brainstem Response
Dhikr has been studied to a limited extent in its impact on human auditory brainstem response. The article describes the processes involved in preparing Dhikr stimuli and analysing the auditory brainstem waves produced. A total of 18 words of 'Allah' recited by male and female Muslims were saved as 16 bit WAV files with sampling rates of 30,000 Hertz (Hz) and 1.09227 seconds (sec) with a sampling rate of 16 bits. Nevertheless, we calibrated and i…
Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · Non-Invasive Vital Sign Monitoring (2 works) · Photoplethysmogram (2 works) · Audiology (1 work) · Auditory brainstem response (1 work) · Auditory pathways (1 work) · Brainstem (1 work) · Cardiology (1 work)