Utilising the Intel RealSense Camera for Measuring Health Outcomes in Clinical Research

Journal of Medical Systems Utilising the Intel RealSense Camera for Measuring Health Outcomes in Clinical Research Francesco Luke Siena 0 1 2 4 5 6 Bill Byrom 0 2 4 5 6 Paul Watts 0 1 2 4 5 6 Philip Breedon 0 1 2 4 5 6 0 Francesco Luke Siena 1 Microsoft ® Corporation , Redmond, Washington, USA, https:// , USA 2 Intel Corporation , Santa Clara, California, USA, https:// , USA 3 Philip Breedon 4 wellbeing applications or clinical and healthcare research. The rapid development of 3D camera technologies has resulted in a market with numerous options, all with varying strengths and weaknesses. Therefore, camera selection is critical dependant on the desired application. Some of the most notable solutions include the Microsoft® KinectTM 5 Product Innovation, ICON Clinical Research , Marlow SL7 1YL , UK 6 Medical Design Research Group, Nottingham Trent University , Nottingham NG1 4FQ , UK Applications utilising 3D Camera technologies for the measurement of health outcomes in the health and wellness sector continues to expand. The Intel® RealSense™ is one of the leading 3D depth sensing cameras currently available on the market and aligns itself for use in many applications, including robotics, automation, and medical systems. One of the most prominent areas is the production of interactive solutions for rehabilitation which includes gait analysis and facial tracking. Advancements in depth camera technology has resulted in a noticeable increase in the integration of these technologies into portable platforms, suggesting significant future potential for pervasive in-clinic and field based health assessment solutions. This paper reviews the Intel RealSense technology's technical capabilities and discusses its application to clinical research and includes examples where the Intel RealSense camera range has been used for the measurement of health outcomes. This review supports the use of the technology to develop robust, objective movement and mobility-based endpoints to enable accurate tracking of the effects of treatment interventions in clinical trials. 3D Depth Camera; Intel® RealSense™; Motion Capture; Clinical Trials; Health Outcomes Introduction There are an increasing number of 3D camera-based technologies in today’s market generating a large number of technological solutions in many different sectors. Finding a unique application is therefore becoming even more difficult whether it be related to 3D scanning, motion capture, gaming, [ 1 ]. Although Kinect support will continue to exist in the interim for the motion-sensing device, the limited access to purchase this technology will likely signal a change in the adoption and use of this motion sensing device for new development applications. Application to clinical research There are numerous applications utilising motion capture technology to study or encourage movement in wellness, healthcare and clinical research. Much of this work has been accomplished in the area of rehabilitation to provide an engaging environment through which to conduct a regular exercise regimen. This enables patient feedback and correction to ensure that exercises are being performed correctly for optimal benefit, and enables remote assessment and adjustment of exercise regimens between clinic visits [ 2 ]. In clinical research and clinical drug development, the study of movement and mobility can be a vital component of understanding the impact of an intervention. This is typically assessed by clinician rating or using an instrumented solution to provide an objective measurement. Many instrumented solutions to assess motion and mobility, such as the Vicon 3D motion analysis system (Vicon Motion Systems Ltd., Oxford, UK) or the GAITRite™ pressure pad system (CIR systems Inc., Franklin, NJ, USA) are expensive to use and may be confined to specialist assessment centres, limiting their use in large-scale clinical trials. Low-cost, reliable 3D camera technology may provide a means to collect rich objective data in non-specialist centres in large clinical trials. Application areas may include: assessment of gait and upper extremity movement (e.g., in stroke patients); walking, upper extremity and dexterity tests (e.g., in multiple sclerosis); walking, posture and balance testing (e.g., in Parkinson’s disease); and other indications or side-effects where objective measures of movement or mobility are important to how patient’s function such as: amyotrophic lateral sclerosis, tardive dyskinesia, Huntington disease, depression (where gait is indicative of mood status), restless leg syndrome, Bell’s (facial) palsy, muscular dystrophies and rheumatoid diseases amongst many others. Properties of the Intel RealSense camera relevant to clinical research applications The Intel® RealSense™ camera utilises a variety of sensing technologies to achieve depth perception, 3D imaging, interior mapping, and feature tracking. Intel present a variety of uses for the Intel® RealSense™, which (...truncated)