[HTML][HTML] Smartphone sensors for health monitoring and diagnosis

S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

CV Anikwe, HF Nweke, AC Ikegwu… - Expert Systems with …, 2022 - Elsevier
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective

ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

[HTML][HTML] Continuous monitoring of vital signs using cameras: A systematic review

V Selvaraju, N Spicher, J Wang, N Ganapathy… - Sensors, 2022 - mdpi.com
In recent years, noncontact measurements of vital signs using cameras received a great
amount of interest. However, some questions are unanswered:(i) Which vital sign is …

[HTML][HTML] The integration of mHealth technologies in telemedicine during the COVID-19 era: A cross-sectional study

AR Taha, M Shehadeh, A Alshehhi, T Altamimi… - PLoS …, 2022 - journals.plos.org
Telemedicine is a rapidly expanding field of medicine and an alternative method for
delivering quality medical care to patients' fingertips. With the COVID-19 pandemic, there …

[HTML][HTML] Assessing the accuracy of popular commercial technologies that measure resting heart rate and heart rate variability

JD Stone, HK Ulman, K Tran, AG Thompson… - Frontiers in Sports and …, 2021 - frontiersin.org
Commercial off-the shelf (COTS) wearable devices continue development at unprecedented
rates. An unfortunate consequence of their rapid commercialization is the lack of …

[HTML][HTML] Predicting depression in adolescents using mobile and wearable sensors: multimodal machine learning–based exploratory study

T Mullick, A Radovic, S Shaaban… - JMIR Formative …, 2022 - formative.jmir.org
Background: Depression levels in adolescents have trended upward over the past several
years. According to a 2020 survey by the National Survey on Drug Use and Health, 4.1 …

[HTML][HTML] The minimal sampling frequency of the photoplethysmogram for accurate pulse rate variability parameters in healthy volunteers

S Béres, L Hejjel - Biomedical Signal Processing and Control, 2021 - Elsevier
Objective Today mobile health-monitoring devices calculate heart rate and its variability
mostly from the photoplethysmogram (PPG). Minimizing the power consumption is crucial …

Unified quality-aware compression and pulse-respiration rates estimation framework for reducing energy consumption and false alarms of wearable PPG monitoring …

GNK Reddy, MS Manikandan, NVLN Murty… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram
(PPG) monitoring devices, these devices are resource-constrained including limited battery …

[HTML][HTML] Peak detection and HRV feature evaluation on ECG and PPG signals

F Esgalhado, A Batista, V Vassilenko, S Russo… - Symmetry, 2022 - mdpi.com
Heart Rate Variability (HRV) evaluates the autonomic nervous system regulation and can be
used as a monitoring tool in conditions such as cardiovascular diseases, neuropathies and …