Mixed Reality Real-Time Measurement and Analysis for Physiotherapy

AnimationLeader Technology Inc.是一家总部位于卡尔加里的公司，拥有运动跟踪系统，并为物理治疗师提供数字入职流程，基于视觉的评估工具，智能锻炼推荐门户网站和交互式合规跟踪应用程序，以准确，数据驱动和参与的方式自动化客观检查，锻炼指导和合规跟踪的整个过程。这项名为Physio 4D的技术将帮助医生制定定制的运动处方，跟踪患者是否正确进行运动，并评估规定运动的有效性。为了对锻炼进行更准确的实时评估，他们希望看到一个人的关节和骨骼的表现。使用混合现实设备将有助于他们在病人的身体上覆盖一个数字骨架，并在病人锻炼时进行实时评估。此外，对于每一个病人，该公司正在收集数据点，并跟踪病人的进展，以评估规定的锻炼的好处。然而，由于演习次数多，（有些运动项目有超过10，000个练习），该公司正在寻找各种方法来找到每种损伤类别的规范数据，以制定有效和个性化的康复计划建议。该项目的目标是调查混合现实设备是否可以帮助临床医生更好地了解患者如何在功能测试中保持良好的姿势，例如在一段时间内提升耐力，并使用机器学习来分析收集的测量结果，并使用（冻结）肩伤作为案例研究，为个性化康复计划制定预测指标。具体而言，我们将研究混合现实是否是真实的-使用Microsoft HoloLens将信息投射到正在进行练习的患者身上的时间可视化可以提高执行练习的准确性，并对患者具有积极的治疗效果。受伤的区域。我们还将使用机器学习技术来调查规定的锻炼对结果的影响。如果成功，这项研究可以帮助制定基于证据的个性化康复计划，

AnimationLeader Technology Inc. is a Calgary-based company that has motion-tracking system and offersphysiotherapists a digital onboarding process, a vision-based assessment tool, an intelligent exerciserecommendation portal and an interactive compliance tracking app to automate the whole process of objectiveexamination, exercise instruction and compliance tracking in an accurate, data driven and engaging way. Theirtechnology called Physio4D will help practitioners to prescribe customized exercises, track whether the patientis doing the exercise correctly, and assess the effectiveness of the prescribed exercises. To have more accuratereal-time assessments for the exercises, they want to see a representation of the person's joints and bones.Using mixed reality devices will help them to overlay a digital skeleton on the patients' body and do real-timemeasurements while the patient is doing exercises. Also, for each patient, the company is collecting data pointsand tracks the patient's progress to evaluate the benefits of the prescribed exercises. However, since the numberof exercises is high (Some exercise programs have more than 10,000 exercises), the company is looking forways to find normative data for each injury category to develop recommendations for an effective andpersonalized rehab plan.The project goal is to investigate whether mixed reality devices can help the clinicians get a betterunderstanding on how patients can keep a good posture during functional tests such as lifting endurance over aperiod of time and use machine learning to analyze collected measurements and develop predictive metrics fora personalized rehab plan using (frozen) shoulder injuries as a case study.Concretely, we will investigate ifmixed reality real-time visualizations using a Microsoft HoloLens to project information on top of the patientdoing the exercises can increase the accuracy of performing the exercise and has positive healing effects for thearea of injury. We will also use machine learning techniques to investigate the impact of prescribed exerciseson the outcomes. If successful, the research can help develop evidence-based personalized rehab plans and