False Positives Avoidance in Pulse Detection from ECG and PPG Sensor Signals

False Positives Avoidance in Pulse Detection from ECG and PPG Sensor Signals
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避免 ECG 和 PPG 传感器信号脉冲检测中的误报

DOI:
10.1109/sensors47087.2021.9639525
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发表时间:
2021
期刊:
Italian National Conference on Sensors
影响因子:
--
通讯作者:
H. Ewald
H. Ewald
中科院分区:
--
文献类型:
--
作者:
Hans Herrmann;H. Ewald

文献摘要

被引文献

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生物传感器信号的评估通常需要实时进行,例如,在捕获新值之后的几秒钟内。有时,从一个或多个单个传感器信号生成新数据。如果感兴趣的是这些值的长期趋势,则自动忽略传感器信号中不需要的异常或失真非常重要。本文提出了一种检测和自我验证心电信号和体积图信号中的脉搏的方法。为了避免误报脉冲检测,使用了自验证技术。该方法使用基于时间域的分析和连续小波变换进行验证,能够在标准的低成本计算机上分析实时传感器信号。
The evaluation of bio-sensor signals often needs to happen live, e.g. within seconds after capturing new values. Sometimes new data is generated from one or more single sensor signals. If a long trend of these values is of interest, it is important to automatically ignore unwanted anomalies or distortions in the sensor signals. In this paper an approach is presented which detects and self validates pulses within electrocardiographic and plethysmographic signals. A self validating technique is used in order to avoid false positive pulse detection. The approach is using time domain based analysis and continuous wavelet transformation for validation and is able to analyse live sensor signals on a standard low cost computer.