Intelligent signal processing for assessing biological rhythms from wearable devices

用于评估可穿戴设备生物节律的智能信号处理

• 批准号: 491634-2015
• 负责人: Mitsis, Georgios
• 金额: $ 1.82万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587008
• 关键词: Intelligent; signal; processing; assessing; biological

Wearable devices such as the Fitbit and Apple Watch provide the opportunity for recording vital signs continuously, opening a number of ver exciting opportunities for important applications related to remote health monitoring. This could help doctors or other healthcare professionals monitor their patients and intervene when needed in a more efficient manner. In addition to this, many opportunities open up for self-monitoring and lifestyle improvement. As a first step towards this goal, our aim is to identify individualized biological rhythms based on the data collected by wearable devices. Such biological rhythms are important in terms of achieving a healthy lifestyle. In order to do so, we will design algorithms to improve data quality as well as intelligent methods to identify whether a change (short term or long term) has occurred, which may affect the vital signs of a person.

Fitbit和Apple Watch等可穿戴设备提供了持续记录生命体征的机会，为与远程健康监测相关的重要应用提供了许多令人兴奋的机会。这可以帮助医生或其他医疗保健专业人员监测他们的患者，并在需要时以更有效的方式进行干预。除此之外，还有许多自我监控和改善生活方式的机会。作为实现这一目标的第一步，我们的目标是根据可穿戴设备收集的数据识别个性化的生物节律。这种生物节律是 重要的是实现健康的生活方式。为了做到这一点，我们将设计算法来提高数据质量，并设计智能方法来识别是否发生了可能影响人的生命体征的变化（短期或长期）。