Mixed Reality Real-Time Measurement and Analysis for Physiotherapy
Mixed Reality Real-Time Measurement and Analysis for Physiotherapy
批准号:
514826-2017
负责人:
Maurer, Frank
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
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,为心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遵从性跟踪应用程序,以准确、数据驱动和引人入胜的方式自动化客观检查、锻炼指导和遵从性跟踪的整个过程。他们的名为Physio4D的技术将帮助医生开出定制的练习,跟踪患者是否正确地进行练习,并评估指定练习的有效性。为了对锻炼有更准确的时间评估,他们希望看到人的关节和骨骼的表现。使用混合现实设备将帮助他们在患者身上覆盖数字骨骼,并在患者进行锻炼时进行实时测量。此外,该公司正在为每个患者收集数据点,并跟踪患者的进展,以评估处方运动的好处。然而,由于锻炼的次数很多(一些锻炼计划有超过10,000次锻炼),该公司正在寻找方法,为每种损伤类别找到标准数据,为有效和个性化的康复计划制定建议。项目目标是调查混合现实设备是否可以帮助临床医生更好地理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高耐力,并使用机器学习来分析收集的测量数据,并以(冻结的)肩部损伤为例,为个性化康复计划制定预测指标。具体而言,我们将调查使用Microsoft HoloLens将信息投影到正在进行练习的患者身上的混合现实实时可视化是否可以提高练习的准确性,并对损伤区域产生积极的愈合效果。我们还将使用机器学习技术来调查指定练习对结果的影响。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和
英文摘要
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
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