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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

A Novel Clinician-Orchestrated Virtual Reality Platform for Distraction During Pediatric Intravenous Procedures in Children With Hemophilia: Randomized Controlled Trial

A Novel Clinician-Orchestrated Virtual Reality Platform for Distraction During Pediatric Intravenous Procedures in Children With Hemophilia: Randomized Controlled Trial

Statistical analyses were performed using the base R statistical package (R Foundation for Statistical Computing, Vienna, Austria).ResultsDemographicsIn this study, 26 patients were screened for enrollment.

Amy Dunn, Jeremy Patterson, Charmaine F Biega, Alice Grishchenko, John Luna, Joseph R Stanek, Robert Strouse

JMIR Serious Games 2019;7(1):e10902

Effect of a Health System–Sponsored Mobile App on Perinatal Health Behaviors: Retrospective Cohort Study

Effect of a Health System–Sponsored Mobile App on Perinatal Health Behaviors: Retrospective Cohort Study

Joseph Health’s Consumer Innovation Team had discussions with 10 providers, including perinatal providers, service line leaders, and educators from the Swedish Medical Center and Providence Health & Services.

Caroline Cawley, Hannelore Buckenmeyer, Trina Jellison, Joseph B Rinaldi, Keri B Vartanian

JMIR Mhealth Uhealth 2020;8(7):e17183

Digital Asthma Self-Management Interventions: A Systematic Review

Digital Asthma Self-Management Interventions: A Systematic Review

Numbers provided were Jan 2007 (164), Joseph 2007 (314), and Krishna 2003 (228).d% provided for individual groups (3-arm trial), however, it stated being unable to provide % for third group due to reporting discrepancies.eHuss 2003: no results were provided

Deborah Morrison, Sally Wyke, Karolina Agur, Euan J Cameron, Robert I Docking, Alison M MacKenzie, Alex McConnachie, Vandana Raghuvir, Neil C Thomson, Frances S Mair

J Med Internet Res 2014;16(2):e51

Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis

Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis

et al [72], Joseph et al [73], Campbell et al [74], Herring et al [75], Billings et al [76], Smith et al [77], Levy et al [78], Jhamb et al [79], Gordon and Hornbrook [80], Nazi et al [81], Foster et al [3], Arcury et al [83], Cavallo et al [85], Steinberg

Jelena Arsenijevic, Lars Tummers, Niels Bosma

J Med Internet Res 2020;22(2):e11613

Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

In the same year, Puthankattil and Joseph published their research [22,23] using a slightly larger sample, with 30 patients with MDD (16 males and 14 females) and 30 controls.

Milena Čukić, Victoria López, Juan Pavón

J Med Internet Res 2020;22(11):e19548

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

Participant Engagement with a Hyper-Personalized Activity Tracking Smartphone App

Participant Engagement with a Hyper-Personalized Activity Tracking Smartphone App

States3Massachusetts General HospitalBoston, MAUnited StatesCorresponding Author: Amanda Centi acenti@partners.orgJul-Dec20181709201842e118768820182982018©Amanda Centi, Ramya Palacholla, Sara Golas, Odeta Dyrmishi, Stephen Agboola, Kamal Jethwani, Joseph

Amanda Centi, Ramya Palacholla, Sara Golas, Odeta Dyrmishi, Stephen Agboola, Kamal Jethwani, Joseph Kvedar

iproc 2018;4(2):e11876