Search Articles

View query in Help articles search

Search Results (1 to 8 of 8 Results)

Download search results: CSV END BibTex RIS


Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Mc Kenzie et al [3] assessed the ability of Smartphone Brain Scanner-2 to detect epileptiform abnormalities using an Android tablet that was wirelessly connected to a 14-electrode Easy Cap headset.

Natarajan Sriraam, S Raghu, Erik D Gommer, Danny M W Hilkman, Yasin Temel, Shyam Vasudeva Rao, Alangar Satyaranjandas Hegde, Pieter L Kubben

JMIR Neurotech 2023;2:e50660

Functional and Technical Aspects of Self-management mHealth Apps: Systematic App Search and Literature Review

Functional and Technical Aspects of Self-management mHealth Apps: Systematic App Search and Literature Review

In phase 2, we reviewed 21 apps on each platform, each of which had 2 versions: 1 in the Apple App Store and 1 in Android Google Play. In phase 3, a group of 24 open-source apps was reviewed manually and automatically, including 11 (46%) Android and 13 (54%) i OS apps. In total, we reviewed 41 i OS and 77 Android apps, including 7 (17%) i OS and 45 (58%) Android apps in phase 1, 21 (51%) i OS and 21 (27%) Android apps in phase 2, and 13 (54%) i OS and 11 (46%) Android apps in phase 3.

Lyan Alwakeel, Kevin Lano

JMIR Hum Factors 2022;9(2):e29767

An Android-Based Mobile App (ARVPredictor) for the Detection of HIV Drug-Resistance Mutations and Treatment at the Point of Care: Development Study

An Android-Based Mobile App (ARVPredictor) for the Detection of HIV Drug-Resistance Mutations and Treatment at the Point of Care: Development Study

The app is designed using Android Studio with Java as the programming language and is compatible for both Android and i OS with user-friendly graphical interfaces. This app accurately predicts HIVDR mutations in the pol region similar to those obtained from the web-based Stanford HIV Drug Resistance Database (HIVdb) [21,22]. We obtained a replicated worksheet for developing ARVPredictor from different drug-resistance databases.

Beatrice Ongadi, Raphael Lihana, John Kiiru, Musa Ngayo, George Obiero

JMIR Form Res 2022;6(2):e26891

Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan

Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan

Of mobile phone owners, more than 97% use an Android- or Apple-based operating system [27]. In 2017, nearly a third of the Canadian adults used m Health apps to monitor their health [28]. Importantly, increased use of health apps has been shown to have a significant correlation with improved health behaviors [29].

James Benoit, Lisa Hartling, Michelle Chan, Shannon Scott

J Med Internet Res 2021;23(10):e29441

A Novel Mobile App (“CareFit”) to Support Informal Caregivers to Undertake Regular Physical Activity From Home During and Beyond COVID-19 Restrictions: Co-design and Prototype Development Study

A Novel Mobile App (“CareFit”) to Support Informal Caregivers to Undertake Regular Physical Activity From Home During and Beyond COVID-19 Restrictions: Co-design and Prototype Development Study

The Care Fit app was developed for Android (versions 7 to 10). The app was mainly developed in Java, with the exception of the education section, which was developed in HTML/CSS/Java Script and integrated into the main app. Extensive unit and user testing was undertaken using Android phone simulators and a range of different Android physical devices of different ages, specifications, and display sizes.

Kieren J Egan, William Hodgson, Mark D Dunlop, Gennaro Imperatore, Alison Kirk, Roma Maguire

JMIR Form Res 2021;5(10):e27358

Mobile Health Apps for Medical Emergencies: Systematic Review

Mobile Health Apps for Medical Emergencies: Systematic Review

The results obtained for the Android operating system were analyzed. The categorization of apps provided by the Google Play Store is presented in Table 4. The results of the apps obtained for Android according to the filter used in the search conducted are presented in Table 5. Categorization of apps for Android. Categorization of apps by filter for Android. The results obtained for the i OS mobile operating system were analyzed.

Alejandro Plaza Roncero, Gonçalo Marques, Beatriz Sainz-De-Abajo, Francisco Martín-Rodríguez, Carlos del Pozo Vegas, Begonya Garcia-Zapirain, Isabel de la Torre-Díez

JMIR Mhealth Uhealth 2020;8(12):e18513

Do Gender-Specific and High-Resolution Three Dimensional Body Charts Facilitate the Communication of Pain for Women? A Quantitative and Qualitative Study

Do Gender-Specific and High-Resolution Three Dimensional Body Charts Facilitate the Communication of Pain for Women? A Quantitative and Qualitative Study

Drawings of pain extent and location were collected on a Samsung Galaxy Note 10.1 tablet with Android 4.1.2 (Jelly Bean) using the Navigate Pain app. A digital display of the masculine, feminine, 2 D, and 3 D body charts were viewable on the tablet screen. Participants were asked to draw with an S Pen (pen tip is approximately 1.5 mm), which is an accessory that accompanies the Samsung Galaxy Note 10.1 tablet.

Line Lindhardt Ann Egsgaard, Trine Søby Christensen, Ida Munk Petersen, Dorthe Scavenius Brønnum, Shellie Ann Boudreau

JMIR Hum Factors 2016;3(2):e19

Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection Module for Android Operating System Apps

Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection Module for Android Operating System Apps

The Android operating system (OS) is loaded onto more than 75% of these smartphones [1,2]. Accompanying the mobile computing revolution has been the explosion of apps available for mobile OSs, with 1.6 million apps available in Google Play for the Android OS as of July 2015 [3]. The profusion of mobile phones has put vast processing power into the pockets of a large swath of the population.

Vikas O'Reilly-Shah, Sean Mackey

JMIR Mhealth Uhealth 2016;4(2):e46