An overview of heart rate variability metrics and norms

F Shaffer, JP Ginsberg - Frontiers in public health, 2017‏ - frontiersin.org
Healthy biological systems exhibit complex patterns of variability that can be described by
mathematical chaos. Heart rate variability (HRV) consists of changes in the time intervals …

Wearable sleep technology in clinical and research settings

M De Zambotti, N Cellini, A Goldstone… - … and science in …, 2019‏ - pmc.ncbi.nlm.nih.gov
The accurate assessment of sleep is critical to better understand and evaluate its role in
health and disease. The boom in wearable technology is part of the digital health revolution …

Emulation of randomized clinical trials with nonrandomized database analyses: results of 32 clinical trials

SV Wang, S Schneeweiss, JM Franklin, RJ Desai… - Jama, 2023‏ - jamanetwork.com
Importance Nonrandomized studies using insurance claims databases can be analyzed to
produce real-world evidence on the effectiveness of medical products. Given the lack of …

[HTML][HTML] Validity of the polar H10 sensor for heart rate variability analysis during resting state and incremental exercise in recreational men and women

M Schaffarczyk, B Rogers, R Reer, T Gronwald - Sensors, 2022‏ - mdpi.com
Heart rate variability (HRV) is frequently applied in sport-specific settings. The rising use of
freely accessible applications for its recording requires validation processes to ensure …

[HTML][HTML] Regression analysis for continuous independent variables in medical research: statistical standard and guideline of Life Cycle Committee

SW Lee - Life cycle, 2022‏ - elifecycle.org
Variables measured in medicine are usually continuous, such as blood pressure, serum
glucose, and drug dosage. There are statistical methods to confirm whether these variables …

Performance of seven consumer sleep-tracking devices compared with polysomnography

ED Chinoy, JA Cuellar, KE Huwa, JT Jameson… - Sleep, 2021‏ - academic.oup.com
Abstract Study Objectives Consumer sleep-tracking devices are widely used and becoming
more technologically advanced, creating strong interest from researchers and clinicians for …

COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study

LB Mokkink, M Boers, CPM Van Der Vleuten… - BMC medical research …, 2020‏ - Springer
Background Scores on an outcome measurement instrument depend on the type and
settings of the instrument used, how instructions are given to patients, how professionals …

The accuracy of several pose estimation methods for 3D joint centre localisation

L Needham, M Evans, DP Cosker, L Wade… - Scientific reports, 2021‏ - nature.com
Human movement researchers are often restricted to laboratory environments and data
capture techniques that are time and/or resource intensive. Markerless pose estimation …

Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

Y Ampatzidis, V Partel, L Costa - Computers and Electronics in Agriculture, 2020‏ - Elsevier
Traditional sensing technologies in specialty crops production, for pest and disease
detection and field phenoty**, rely on manual sampling and are time consuming and labor …

[HTML][HTML] Accuracy of consumer wearable heart rate measurement during an ecologically valid 24-hour period: intraindividual validation study

BW Nelson, NB Allen - JMIR mHealth and uHealth, 2019‏ - mhealth.jmir.org
Background Wrist-worn smart watches and fitness monitors (ie, wearables) have become
widely adopted by consumers and are gaining increased attention from researchers for their …