Research Project 4 will develop novel, objective, and passive measures of Parkinson disease features

研究项目 4 将开发帕金森病特征的新颖、客观和被动的测量方法

• 批准号: 10242060
• 负责人: Earl Ray Dorsey
• 金额: $ 43.02万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10242060
• 关键词: 3-Dimensional; Accelerometer; Affect; Blinded; Caring; Cellular Phone; Clinic; Clinical assessments; Collection; Colon Carcinoma; Computers; Country; Data; Data Collection; Devices; Disease; Effectiveness; Electrical Engineering; Electrocardiogram; Elements; Exhibits; Facial Expression; Fingers; Gait; Gait speed; Home; Individual; Levodopa; Longitudinal Studies; Measures; Michigan; Middle Insomnia; Motor; Movement; Movement Disorder Society Unified Parkinson' s Disease Rating Scale; Natural History; Parkinson Disease; Participant; Pattern; Pharmaceutical Preparations; Radio Waves; Research; Research Personnel; Research Project Grants; Scientist; Severity of illness; Sleep; Socialization; Technology; Time; Universities; Voice; Walking; advanced analytics; analytical tool; heart rate variability; improved; insight; machine learning algorithm; motor disorder; next generation; novel; respiratory; response; sensor; smartphone Application; therapeutic development; therapeutic evaluation; tool; wearable sensor technology

SUMMARY New sensing devices can generate objective, frequent, sensitive assessments of PD. However, many devices, like smartphones, require individuals to complete activities. Because PD, unlike colon cancer, for example, has clear external features (e.g., slow gait, frequent sleep interruptions), it is well suited for passive assessment. In Research Project 4, we will evaluate three leading technologies to assess PD principally (but not exclusively) through passive means. These technologies include wearable sensors that can measure motor and autonomic function, a video analytical tool that can measure elements of the standard PD motor examination, and an “invisible” radio wave sensing tool that can assess the natural history of PD in the home. These three tools will enhance our understanding and generate objective measures of PD that can be used to accelerate therapeutic development and improve care. The first project will examine a wearable sensor that has embedded accelerometers, gyroscope, and ECG capabilities to assess function inside and outside the clinic. In one of the largest PD sensor studies, we will seek to confirm and extend findings that individuals with PD exhibit distinct diurnal activity patterns from controls (e.g., lie down more, walk less), evaluate autonomic function, and in partnership with the University of Michigan's Udall Center, explore whether gait function is worse in individuals with a hypocholinergic state. The second project will evaluate a recently developed video analytics tool that applies machine learning algorithms to evaluate motor assessments (e.g., facial expression, finger tapping) that are routinely assessed through the motor portion the MDS-UPDRS to see if these assessments, conducted without an investigator, can differentiate those with PD from those without and correlate with traditional assessments. The third project will evaluate motor and non-motor function of individuals with PD in their homes using a novel radio wave sensing device. This device can assess existing measures (e.g., gait speed, respiratory rate) and novel measures (e.g., path tortuosity, time alone) that will provide novel insights into the disease.

总结