A Project to Refine and Implement an Adaptive Activity with Range of Motion Model (AARoM) in Interactive Rehabilitative Software in Older Persons

对于患有多种慢性疾病的人，以及那些从肌肉骨骼损伤或手术（如膝关节或髋关节置换术）中恢复的人来说，锻炼计划是康复方案的支柱。锻炼项目通常是通过髋关节外展、髋关节外展、膝关节抬高和深蹲等基本动作的练习来提高关节活动度。将临床指导传递给患者并确保他们遵循这些指导的创新解决方案将减轻医疗保健系统的负担并提高患者的参与度。ForaHealthyMe公司为术后患者康复和远程护理支持开发了计算机视觉功能范围的运动协议。该软件被编程为在虚拟3D环境中跟踪人体关节和关节角度。对于髋关节或膝关节置换术后正在康复的患者，FHM专有的Avateering系统使用摄像头跟踪25个骨骼关节，重点关注手臂、腿和躯干。问题在于，当前的Activity模型是僵化的，对用户移动性的变化反应迟钝，导致在完成规定的活动时可能出现很高的失败率。我们提出的解决方案是一种具有运动范围模型（AARoM）的自适应活动，该模型使用运动范围模型和人工智能（AI）来修改活动完成参数，以解决刚性活动模型的不足。公司需要有效的基于现场的测试，客观和主观的验证，以及在正确的设置和正确的人群中相关的用户反馈。

Exercise programs are the pillar of rehabilitation protocols for people suffering from multiple chronic diseases as well as those recovering from musculoskeletal injury or surgery, such as knee or hip replacement. The exercise programs are often designed to improve mobility via improving joint range of motion by the practice of basic movements such as hip abduction, hip extension, knee raise, and squat. Innovative solutions to transfer of clinical instruction to patients, and ensuring they follow these instructions, would reduce the burden on the healthcare system and improve patient engagement. ForaHealthyMe Inc. has developed Computer Vision-enabled range of motion protocols for post-operative patient rehabilitation and remote care support. The software is programmed to track human joints and joint angles in a virtual 3D environment. For patients who have undergone and are recovering from hip or knee replacement, FHM's proprietary Avateering System uses a camera to track 25 skeletal joints, with a focus on the arms, legs, and torso. The problem is that the current Activity model is rigid and unresponsive to variation in user mobility leading to the possibility of a high rate of failure in completing prescribed activities. The solution is, we propose, an Adaptive Activity with Range of Motion Model (AARoM) which addresses the shortfalls of the rigid activity model using a range of motion model and artificial intelligence (AI) to modify activity completion parameters. The company requires valid field-based testing and objective as well as subjective validation and relevant user feedback in the correct setting and from the correct population.