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Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation

Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation

To be rated as guideline-conform, all criteria needed to be covered in substance; verbatim coverage was not required.Usability EvaluationRemaining apps were evaluated using the system usability scale (SUS) developed by John Brooke [38].

Bibiana Metelmann, Camilla Metelmann, Louisa Schuffert, Klaus Hahnenkamp, Peter Brinkrolf

JMIR Mhealth Uhealth 2018;6(11):e190

Correction: Effectiveness of an 8-Week Web-Based Mindfulness Virtual Community Intervention for University Students on Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial

Correction: Effectiveness of an 8-Week Web-Based Mindfulness Virtual Community Intervention for University Students on Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial

All member names have now been added as collaborators on the PubMed listing, as follows:Sahir Abbas, Yvonne Bohr, Manuela Ferrari, Wai Lun Alan Fung, Louise Hartley, Amin Mawani, Kwame McKenzie, Jan E Odai.As well, MVC Team was incorrectly noted as having contributed

Christo El Morr, Paul Ritvo, Farah Ahmad, Rahim Moineddin, MVC Team

JMIR Ment Health 2020;7(9):e24131

Feasibility of a Dynamic Web Guidance Approach for Personalized Physical Activity Prescription Based on Daily Information From Wearable Technology

Feasibility of a Dynamic Web Guidance Approach for Personalized Physical Activity Prescription Based on Daily Information From Wearable Technology

The University of California, Davis Institutional Review Board approved the protocol, and both subjects gave written informed consent.ProtocolOverviewEach subject completed a preliminary session, baseline resting heart rate measurements, and 12 weeks of physical

Crystal L Coolbaugh, Stephen C Raymond Jr, David A Hawkins

JMIR Res Protoc 2015;4(2):e67

Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy

Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy

Souza et al [11] estimated EE during ambulatory activities for a study of 3 patients using a linear formula based on heart rate.MethodsSubjectsThere were 7 subjects with DMD aged 6 to 10 years recruited from the regional neuromuscular clinic at the UC Davis

Amit Pande, Prasant Mohapatra, Alina Nicorici, Jay J Han

JMIR Rehabil Assist Technol 2016;3(2):e7