Journal: Sensors (Basel, Switzerland)

Article Title: The Development and Validation of a Novel Smartphone Application to Detect Postural Instability

doi: 10.3390/s25051505

Figure Lengend Snippet: ( a ) The smartphone application user interface was controlled remotely by the experimenter. ( b ) Motion capture markers were placed on the participant’s body in the anterior and posterior positions. The orange dot illustrates the marker located on top of the smartphone device, which was attached at the L5 region. ( c ) For the greatest sensitivity, the smartphone was oriented horizontally and was secured to the participant using a belted phone holder. Orientation was confirmed using Apple’s preloaded Measure application to confirm the spirit level prior to data collection.

Article Snippet: A smartphone application was developed for an iPhone 14 using XCODE (Apple Computer Inc., Cupertino, CA, USA), Apple’s integrated development environment for Mac iOS.

Techniques: Marker

Journal: Sensors (Basel, Switzerland)

Article Title: The Development and Validation of a Novel Smartphone Application to Detect Postural Instability

doi: 10.3390/s25051505

Figure Lengend Snippet: Average Pearson correlations across the participants comparing positional time series data from the smartphone position to the motion capture system for the AP and ML axes.

Article Snippet: A smartphone application was developed for an iPhone 14 using XCODE (Apple Computer Inc., Cupertino, CA, USA), Apple’s integrated development environment for Mac iOS.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: The Development and Validation of a Novel Smartphone Application to Detect Postural Instability

doi: 10.3390/s25051505

Figure Lengend Snippet: Bland–Altman plots of the mean of the measurements of the smartphone and each gold-standard instrument (motion capture and force plate) against the difference in the measurement of individual participants for the sway area (left: a , c , e , g ) and sway velocity (right: b , d , f , h ) for each visual and surface condition.

Article Snippet: A smartphone application was developed for an iPhone 14 using XCODE (Apple Computer Inc., Cupertino, CA, USA), Apple’s integrated development environment for Mac iOS.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: The Development and Validation of a Novel Smartphone Application to Detect Postural Instability

doi: 10.3390/s25051505

Figure Lengend Snippet: Comparison of synchronously collected data from the smartphone, motion capture, and force plate systems in each visual and surface condition for the postural outcome measures. Note asterisks (*) denotes statistically significant differences between visual and surface conditions.

Article Snippet: A smartphone application was developed for an iPhone 14 using XCODE (Apple Computer Inc., Cupertino, CA, USA), Apple’s integrated development environment for Mac iOS.

Techniques: Comparison