Validity and reliability of smartphone magnetometer-based goniometer evaluation of shoulder abduction--A pilot study.

Background: Goniometers are commonly used by physical therapists to measure range-of-motion (ROM) in the musculoskeletal system. These measurements are used to assist in diagnosis and to help monitor treatment efficacy. With newly emerging technologies, smartphone-based applications are being explored for measuring joint angles and movement.

mHealth application for upper extremity range of motion and reachable workspace.

We present mobile health (mHealth) applications utilizing embedded phone sensors as an angle-measuring device for upper-limb range of motion (ROM) and estimation of reachable workspace to assist in evaluation of upper limb functional capacity. Our results show that the phone can record accurate measurements, as well as provide additional functionalities for clinicians.

Upper extremity reachable workspace evaluation with Kinect.

We propose a novel low-cost method for quantitative assessment of upper extremity workspace envelope using Microsoft Kinect camera. In clinical environment there are currently no practical and cost-effective methods available to provide arm-function evaluation in three-dimensional space. In this paper we examine the accuracy of the proposed technique for workspace estimation using Kinect in comparison with a motion capture system.

Development and application of stereo camera-based upper extremity workspace evaluation in patients with neuromuscular diseases.

Background: The concept of reachable workspace is closely tied to upper limb joint range of motion and functional capability. Currently, no practical and cost-effective methods are available in clinical and research settings to provide arm-function evaluation using an individual's three-dimensional (3D) reachable workspace. A method to intuitively display and effectively analyze reachable workspace would not only complement traditional upper limb functional assessments, but also provide an innovative approach to quantify and monitor upper limb function.