Confidential Automatic Monitoring, Examination, and Recognition of disease Activity (CAMERA): Application to Parkinson and Alzheimer Diseases

疾病活动的机密自动监测、检查和识别 (CAMERA)：在帕金森病和阿尔茨海默病中的应用

• 批准号: 538822-2019
• 负责人: McKeown, Martin
• 金额: $ 2.76万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Health Research Projects
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=697781
• 关键词: Confidential; Automatic; Monitoring; Examination; Recognition

Current in-home monitoring of aging populations includes the use of patient-worn sensors and alarms and traditional camera systems. However, patients may forget to wear the sensor or be unable to trigger an alarm in case of a fall, while cameras intervenes with a person's privacy. Our innovative monitoring project uses smart cameras to generate video recordings of people with Parkinson's or Alzheimer's. These cameras immediately anonymize the patient identification to preserve privacy. The uniqueness of our project is that the processing of these data is done within the camera, so the images do not need to be stored or transmitted. We will use the cameras developed by AltumView Systems Inc, our knowledge user company, to process and analyze such video recordings to facilitate clinical assessments ofbody movement and emotional status, such as depression. The camera could also trigger assistance alerts to family members or health services and inform physicians about a patients health status. Monitoring of aging populations with smart cameras has economic benefits and can improve patient outcomes. Balancing our ethical duties of protecting patients privacy, respecting their freedom, promoting their well-being, and using health resources responsibly, smart cameras will help maintain patients independence longer, which in turn can reduce the costs of hospitalization and long-term care facilities. The camera-derived information can help physicians make better decisions on treatment and consequently may reduce the number of additional visits to physicians, hospitals, and emergency rooms. This project will have significant commercialization potential as Parkinson's and Alzheimer's affect roughly 600,000 Canadians, and with suitable modifications could be adapted to monitoring the healthy elderly. Training of HQP will be greatly facilitated by this inherently multidisciplinary project that combines engineering, medical, and ethical skills.

目前对老年人口的家庭监测包括使用患者佩戴的传感器和警报器以及传统摄像系统。然而，患者可能会忘记佩戴传感器，或者在跌倒时无法触发警报，而摄像头会侵犯个人隐私。我们的创新监控项目使用智能摄像头生成视频记录 帕金森氏症或阿尔茨海默氏症患者。这些摄像头会立即对患者身份进行匿名化处理，以保护隐私。我们项目的独特之处在于这些数据的处理是在相机内完成的，因此图像不需要存储或传输。我们将使用我们的知识用户 AltumView Systems Inc 开发的相机 公司处理和分析此类视频记录，以促进对身体运动和情绪状态（例如抑郁症）的临床评估。该摄像头还可以向家庭成员或医疗服务机构发出援助警报，并向医生通报患者的健康状况。使用智能摄像头监测老龄化人口具有经济效益，并且可以改善患者的治疗效果。智能摄像头平衡了我们保护患者隐私、尊重他们的自由、促进他们的福祉和负责任地使用医疗资源的道德义务，将有助于延长患者的独立性，从而降低住院和长期护理设施的成本。摄像头生成的信息可以帮助医生做出更好的治疗决策，从而可以减少 额外就诊医生、医院和急诊室。该项目将具有巨大的商业化潜力，因为帕金森氏症和阿尔茨海默氏症影响着大约 60 万加拿大人，并且经过适当的修改可以适应 监测健康老年人。这个结合了工程、医学和道德技能的本质上的多学科项目将极大地促进 HQP 的培训。