[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 …
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 …
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
Background Advancements in wearable technology have provided practitioners and
researchers with the ability to conveniently measure various health and/or fitness indices …
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 …
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 …
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 …
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
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 …
facing cameras simultaneously. This paper proposes a new monitoring method for …
[HTML][HTML] Blood glucose level regression for smartphone ppg signals using machine learning
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 …
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
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 …
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
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 …
methods to analyze such data, there has never been a more pressing need for user-friendly …