[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 …

[HTML][HTML] The current state of mobile phone apps for monitoring heart rate, heart rate variability, and atrial fibrillation: narrative review

KHC Li, FA White, T Tipoe, T Liu… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background: Mobile phone apps capable of monitoring arrhythmias and heart rate (HR) are
increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such …

The accuracy of acquiring heart rate variability from portable devices: a systematic review and meta-analysis

WC Dobbs, MV Fedewa, HV MacDonald, CJ Holmes… - Sports Medicine, 2019 - Springer
Background Advancements in wearable technology have provided practitioners and
researchers with the ability to conveniently measure various health and/or fitness indices …

[HTML][HTML] Passive sensing of prediction of moment-to-moment depressed mood among undergraduates with clinical levels of depression sample using smartphones

NC Jacobson, YJ Chung - Sensors, 2020 - mdpi.com
Prior research has recently shown that passively collected sensor data collected within the
contexts of persons daily lives via smartphones and wearable sensors can distinguish those …

Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from …

NC Jacobson, S Bhattacharya - Behaviour Research and Therapy, 2022 - Elsevier
Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …

Extraction of heart rate variability from smartphone photoplethysmograms

RC Peng, XL Zhou, WH Lin… - … mathematical methods in …, 2015 - Wiley Online Library
Heart rate variability (HRV) is a useful clinical tool for autonomic function assessment and
cardiovascular diseases diagnosis. It is traditionally calculated from a dedicated medical …

[HTML][HTML] Monitoring of heart and breathing rates using dual cameras on a smartphone

Y Nam, Y Kong, B Reyes, N Reljin, KH Chon - PloS one, 2016 - journals.plos.org
Some smartphones have the capability to process video streams from both the front-and rear-
facing cameras simultaneously. This paper proposes a new monitoring method for …

[HTML][HTML] Blood glucose level regression for smartphone ppg signals using machine learning

TT Islam, MS Ahmed, M Hassanuzzaman… - Applied Sciences, 2021 - mdpi.com
Diabetes is a chronic illness that affects millions of people worldwide and requires regular
monitoring of a patient's blood glucose level. Currently, blood glucose is monitored by a …

[HTML][HTML] Smartphone apps using photoplethysmography for heart rate monitoring: meta-analysis

B De Ridder, B Van Rompaey, JK Kampen, S Haine… - JMIR cardio, 2018 - cardio.jmir.org
Background: Smartphone ownership is rising at a stunning rate. Moreover, smartphones
prove to be suitable for use in health care due to their availability, portability, user …

[HTML][HTML] The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data

NC Jacobson, SM Chow, MG Newman - Behavior research methods, 2019 - Springer
With the recent growth in intensive longitudinal designs and the corresponding demand for
methods to analyze such data, there has never been a more pressing need for user-friendly …