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Development of a Subjective Visual Vertical Test System Using a Smartphone With Virtual Reality Goggles for Screening of Otolithic Dysfunction: Observational Study

Development of a Subjective Visual Vertical Test System Using a Smartphone With Virtual Reality Goggles for Screening of Otolithic Dysfunction: Observational Study

An i Phone 8 (Apple Inc) was used for this purpose. When the app started (it can be used without an internet connection), the straight bar tilted left and right. When the user thought that the bar was vertical, the remote control was pressed to make the bar still. The mean and SD values of SVV were automatically calculated and recorded in the app.

Akiko Umibe, Hiroaki Fushiki, Reiko Tsunoda, Tatsuaki Kuroda, Kazuhiro Kuroda, Yasuhiro Tanaka

JMIR Form Res 2024;8:e53642

Association Between Step Count Measured With a Smartphone App (Pain-Note) and Pain Level in Patients With Chronic Pain: Observational Study

Association Between Step Count Measured With a Smartphone App (Pain-Note) and Pain Level in Patients With Chronic Pain: Observational Study

To study real-life daily activity with higher adherence, we used the pedometer function that is built into the i Phone smartphone platform (Apple Inc). To utilize the built-in pedometer function, we designed an app we named Pain-Note, which was based on the Research Kit function built into the i Phone. One previous study analyzed data based on the assumption that the relationship between physical activity and pain is linear [16].

Takahisa Ogawa, Luis Castelo-Branco, Kotaro Hatta, Chie Usui

JMIR Form Res 2022;6(4):e23657

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

The In STIL (Intelligent Sensing to Inform and Learn) platform is a new, cloud-based system for collecting active and passive sensor signals from both i Phone and Android smartphones. The platform was designed with the broad research aim of improving understanding of the causes and trajectory of youth-onset mood disorders using digital phenotyping.

Scott Barnett, Kit Huckvale, Helen Christensen, Svetha Venkatesh, Kon Mouzakis, Rajesh Vasa

J Med Internet Res 2019;21(11):e16399

Measuring Risky Driving Behavior Using an mHealth Smartphone App: Development and Evaluation of gForce

Measuring Risky Driving Behavior Using an mHealth Smartphone App: Development and Evaluation of gForce

A recent survey confirmed the continued popularity and dominant market share of the i Phone among teenagers; 81% of surveyed US teenagers owned an i Phone, and this number is projected to grow [17]. However, no research has reported the utility of the i Phone for assessing KRD. The purpose of this work was to evaluate the utility of a simple, nonproprietary i Phone app to assess teenage KRD behavior.

Raisa Z Z Freidlin, Amisha D Dave, Benjamin G Espey, Sean T Stanley, Marcial A Garmendia, Randall Pursley, Johnathon P Ehsani, Bruce G Simons-Morton, Thomas J Pohida

JMIR Mhealth Uhealth 2018;6(4):e69