跳至主要内容
临床试验/NCT04539860
NCT04539860Unknown不适用

Comparison of Blood Pressure Measurements Between Transdermal Optical Imaging and Standard of Care

University of Toronto3 个研究点 分布在 2 个国家目标入组 15,000 人开始时间: 2020年8月25日最近更新:
适应症

试验速览

阶段
不适用
入组人数
15,000
试验地点
3
主要终点
Blood Pressure Results

研究概览

简要总结

Participants (patients and volunteers) will be recruited to have their blood pressure measured by standard blood pressure assessment methods while having their face video recorded. The data collected will help improve the blood pressure measurement accuracy of Transdermal Optical Imaging, which relies on machine learning to extract physiological information from videos recorded.

详细描述

There are many ways to measure blood pressure (monitors, mercury sphygmomanometer, aneroid devices), with most relying on a cuff-inflation. Transdermal Optical Imaging measures blood pressure using a video captured by any conventional camera (e.g., those on a phone, tablet, laptop) and advanced machine learning algorithms.

The current study aims to improve the accuracy of Transdermal Optical Imaging algorithms for measuring blood pressure. The investigators will recruit participants (patients with medical problems and healthy volunteers) to have their blood pressure measured in various ways (e.g.,by registered nurses with sphygmomanometer and stethoscope, continuous blood pressure monitor, etc.). Further, participants will have their faces video-recorded intermittently between standard measurements or at the same time as standard measures.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
13 Years 至 100 Years(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Able and willing to provide written informed consent to participate (including by parent or legal guardian if under 16 years old).

排除标准

  • No exclusion criteria

结局指标

主要结局

Blood Pressure Results

时间窗: Single visit; up to one day

Comparison of Transdermal Optical Imaging data and Standard assessment data

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Kang Lee

Professor

University of Toronto

研究点 (3)

Loading locations...

相似试验