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临床试验/NCT04374344
NCT04374344已完成不适用

Qualitative Analysis of Photoplethysmography Waveforms for the Detection of Cardiac Arrhythmias Using a Pulse-deriving Smartphone Application

Qompium NV1 个研究点 分布在 1 个国家目标入组 76 人开始时间: 2020年3月10日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
76
试验地点
1
主要终点
Diagnostic accuracy to discriminate between atrial fibrillation and non-atrial fibrillation rhythms

研究概览

简要总结

Single-lead electrocardiography (ECG) technologies and photoplethysmography (PPG) deriving smartphone apps are gaining interest in the heart rhythm detection space since these apps have the potential to capture and assess heart rhythms. Proprietary arrhythmia detection algorithms are proven to be reliable and accurate. However, insights into the readability of PPG waveforms by human reviewers remain limited. To the investigators' knowledge, there are no publications available regarding the readability of PPG waveforms by human reviewers. The objective of the study was to assess the readability of PPG and single-lead ECG analysis by medical professionals, with respect to the gold-standard 12-lead ECG diagnosis, and investigate whether additional information positively impacts PPG analysis.

详细描述

During the study, the readability of PPG and single-lead ECG waveform analysis will be investigated. The objective of the study is to determine the readability of PPG and single-lead ECG measurements, with respect to the gold-standard 12-lead ECG, and investigate whether additional information positively impacts the readability of PPG. Medical professionals (cardiologists and cardiology residents), blinded for the patients' characteristics and history, are instructed to separately analyse the following signals, obtained from 30 patients.

  • 30 outputs with PPG waveforms
  • 30 outputs with PPG waveforms with tachogram and Poincaré
  • 30 outputs with PPG waveforms with tachogram, Poincaré, and algorithm interpretation
  • 30 outputs with single-lead ECG waveforms
  • 30 outputs with 12-lead ECG waveforms

Participants report the results of the qualitative analysis via a digital questionnaire with multiple-choice questions. Medical professionals classify each rhythm trace as regular rhythm, one or more ectopic/missed heartbeats, atrial flutter, atrial fibrillation, unreadable, or other. The tachogram, Poincaré, and the algorithm interpretation are subsequently added to investigate whether the additional information improves the readability of PPG. Based on the provided answers, the study team will determine the readability of PPG and single-lead ECG analysis interpretation, with respect to the gold-standard 12-lead ECG diagnosis.

研究设计

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

入排标准

性别
All
接受健康志愿者

入选标准

  • Cardiologist or cardiology resident
  • Able to understand Dutch or English

排除标准

  • 未提供

结局指标

主要结局

Diagnostic accuracy to discriminate between atrial fibrillation and non-atrial fibrillation rhythms

时间窗: Through study completion, an average of 3 months

Readability assessment (sensitivity, specificity, positive predictive value, negative predictive value, and accuracy) of PPG and single-lead ECG signals to detect atrial fibrillation. The readability will be determined and compared with the gold-standard 12-lead ECG diagnosis.

次要结局

  • Required elements to increase the readability of PPG measurements(Through study completion, an average of 3 months)
  • Diagnostic accuracy of PPG analysis: experienced in PPG analysis vs inexperienced in PPG analysis(Through study completion, an average of 3 months)

研究者

发起方
Qompium NV
申办方类型
Industry
责任方
Sponsor

研究点 (1)

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