Search

Wearable inertial measurement units (IMUs) are being used to quantify gait characteristics that are associated with increased fall risk, but the current limitation is the lack of contextual information that would clarify IMU data. Use of wearable video-based cameras would provide a comprehensive understanding of an individual's habitual fall risk, adding context to clarify abnormal IMU data. Generally, there is taboo when suggesting the use of wearable cameras to capture real-world video, clinical and patient apprehension due to ethical and privacy concerns. This perspective proposes that routine use of wearable cameras could be realized within digital medicine through AI-based computer vision models to obfuscate/blur/shade sensitive information while preserving helpful contextual information for a comprehensive patient assessment. Specifically, no person sees the raw video data to understand context, rather AI interprets the raw video data first to blur sensitive objects and uphold privacy. That may be more routinely achieved than one imagines as contemporary resources exist. Here, to showcase/display the potential an exemplar model is suggested via off-the-shelf methods to detect and blur sensitive objects (e.g., people) with an accuracy of 88%. Here, the benefit of the proposed approach includes a more comprehensive understanding of an individual's free-living fall risk (from free-living IMU-based gait) without compromising privacy. More generally, the video and AI approach could be used beyond fall risk to better inform habitual experiences and challenges across a range of clinical cohorts. Medicine is becoming more receptive to wearables as a helpful toolbox, camera-based devices should be plausible instruments. [ABSTRACT FROM AUTHOR]

The article discusses a study which aimed to further understand pain in Parkinson's disease. The study used an interpretative phenomenological analysis (IPA) approach to examine the essence of the personal experiences of pain in patients with Parkinson's patients. It examined the effect of both the participants' pain and Parkinson's disease on their relationship with family and spouse and the association between their pain and feelings of suffering, despair and anxiety.

The article discusses the highlights of the 3rd International Sport Science and Sport Medicine Conference which was hosted by Newcastle University in Newcastle upon Tyne, England from August 31-September 2, 2016. Topics addressed include collision in rugby, challenges for medical staff working within elite football, and difficulties in managing integrated sport science and sport medicine programs. Also addressed is the role of exercise in enhancing cardiovascular function.