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临床试验/NCT04635787
NCT04635787已完成不适用

ICU-Grade Wearable Sensors With Novel Respiratory Biomarkers to Diagnose and Detect Pre- and Very Early Symptomatic COVID-19 Infection Using Predictive Machine Learning Algorithms

Northwestern University1 个研究点 分布在 1 个国家目标入组 324 人开始时间: 2020年11月5日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
324
试验地点
1
主要终点
1.Efficacy of wearable device to detect respiratory infection parameters: cough count

研究概览

简要总结

This study will monitor physical bio-markers such as heart rate, respiratory rate, and temperature to detect potential COVID-19 infections.

详细描述

The purpose of this research is to assess the accuracy of wearable sensors at detecting and monitoring COVID-19 infections. Our small, wearable sensor can get data on your respiration, body temperature, heart rate, and blood oxygen level, which may help physicians better identify if a respiratory condition is worsening overtime. If successful, our sensor could help healthcare professionals detect early symptoms of COVID-19 respiratory infection and monitor recovery and treat people before their condition worsens significantly.

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
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adults aged 18 years old or over
  • Recent (within 1 week) occupational or home exposure to a newly diagnosed COVID-19 infected individual
  • Able and willing to give written consent and comply with study procedures

排除标准

  • Inability to understand instructions and follow a three step command
  • The subject is pregnant, nursing or planning a pregnancy
  • Inability to provide written consent
  • Past confirmed COVID-19 infection with resolution of symptoms
  • Past confirmed COVID-19 active infection moderate or severe symptoms

结局指标

主要结局

1.Efficacy of wearable device to detect respiratory infection parameters: cough count

时间窗: 1 year

Device data measuring cough count. Captured by analysis of peak acclerometer graphing and duration in meters per second squared (m/s2).

次要结局

  • 2.Monitoring of respiratory infection symptoms, WURSS-11 Survey(Time Frame: 1 year)

研究者

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

Shuai (Steve) Xu

Principal Investigator

Northwestern University

研究点 (1)

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