IoT-based health information system using MitApp for abnormal electrocardiogram signal monitoring

B Utomo, T Triwiyanto, S Luthfiyah… - Bulletin of Electrical …, 2024 - beei.org
Abstract Information systems are currently develo** very rapidly, and this is inseparable
from the role of internet of things (IoT) technology, especially in the world of telemedicine …

Validation of the influence of biosignals on performance of machine learning algorithms for sleep stage classification

J Choi, S Kwon, S Park, S Han - Digital Health, 2023 - journals.sagepub.com
Background Sleep stage identification is critical in multiple areas (eg medicine or
psychology) to diagnose sleep-related disorders. Previous studies have reported that the …

[PDF][PDF] Biometric Analysis on Smart Textile Garment in Real Life Scenario

MMM Nawawi, KA Sidek, AW Azman - J. Adv. Res. Appl. Sci. Eng …, 2024 - irep.iium.edu.my
The rapid proliferation of wearable applications and technologies capable of acquiring
biomedical signals has prompted the incorporation of biomedical signals, such as the …

[PDF][PDF] ECG in real world scenario: Time variability in biometric using wearable smart textile shirts

MMM Nawawi, KA Sidek… - Journal of Advanced …, 2024 - researchgate.net
Biomedical signals, such as an electrocardiogram (ECG), have been included in wearable
platforms for biometric reasons due to the rapid expansion of apps and technology capable …

Perbandingan kinerja algoritma optimasi pada metode random forest untuk deteksi kegagalan jantung

U Sunarya, T Haryanti - Jurnal Rekayasa Elektrika, 2022 - jurnal.usk.ac.id
Jantung merupakan salah satu organ terpenting dalam tubuh manusia. Kegagalan jantung
pada pasien dapat mengakibatkan dampak yang vital dan berujung pada kematian. Adapun …

ECG biometric in real-life settings: analysing different physiological conditions with wearable smart textiles shirts

MMM Nawawi, KA Sidek, AW Azman - Bulletin of Electrical Engineering …, 2023 - beei.org
The adoption of biomedical signals such as the electrocardiogram (ECG) for biometric is
rising in tandem with the increased attention to wearable devices. However, despite its …

ECG signal processing by feature selection with classification based on machine learning architectures in cardiovascular disease detection

S Qamar - 2022 - researchsquare.com
A typical method for capturing electrical activity of human heart is electrocardiography
(ECG). Because of its low amplitude and extreme susceptibility to high frequency noise and …