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Automatic Near Real-Time Outlier Detection and Correction in Cardiac Interbeat Interval Series for Heart Rate Variability Analysis: Singular Spectrum Analysis-Based Approach

Automatic Near Real-Time Outlier Detection and Correction in Cardiac Interbeat Interval Series for Heart Rate Variability Analysis: Singular Spectrum Analysis-Based Approach

While, ideally, all components of an R-R series originate from the SA node, the actual R-R series in both healthy and diseased subjects are contaminated by outliers due to artifacts and heart rhythm disturbances such as ectopic beats (ie, heart beats whose

Michael Lang

JMIR Biomed Eng 2019;4(1):e10740

Counting Steps in Activities of Daily Living in People With a Chronic Disease Using Nine Commercially Available Fitness Trackers: Cross-Sectional Validity Study

Counting Steps in Activities of Daily Living in People With a Chronic Disease Using Nine Commercially Available Fitness Trackers: Cross-Sectional Validity Study

It was hypothesized that there would be a strong correlation (r>.90) [48].Table 1Selected commercially available activity trackers used in this validity study.Activity trackerManufacturerTypeWearing positionOutcome variablesAccupedoCorusen LLCAppBeltNumber

Darcy Ummels, Emmylou Beekman, Kyra Theunissen, Susy Braun, Anna J Beurskens

JMIR Mhealth Uhealth 2018;6(4):e70

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Using k-means clustering, analysis of themes present in r/Anxiety, r/Depression, and r/PTSD found that the r/Anxiety and r/PTSD subreddits shared more common terms with each other than with the r/Depression subreddit [13].Reddit can also help monitor discussions

Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh

J Med Internet Res 2020;22(10):e22635

A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies

A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies

Correlations between the accelerometers on the armbands and the mobile phones were computed by calculating Pearson's correlation coefficient (r) in SPSS version 21.

Sigrid NW Vorrink, Helianthe SM Kort, Thierry Troosters, Jan-Willem J Lammers

JMIR Mhealth Uhealth 2016;4(1):e11

New Patient Education Video on Colonoscopy Preparation: Development and Evaluation Study

New Patient Education Video on Colonoscopy Preparation: Development and Evaluation Study

Cohen [37] suggested cutoff scores for small (r=.1), medium (r=.3), and large (r=.5) Pearson correlations. For the new video, almost all the correlations were significant at the .01 level.

Matthew T Bernstein, Jesse Garber, Patrick Faucher, Kristin A Reynolds, Gayle Restall, John R Walker, Harminder Singh

JMIR Hum Factors 2020;7(4):e15353