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Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo

机译:基于非侵入性PPG的禽类胚胎胚胎速率监测系统

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摘要

The chicken embryo is a widely used experimental animal model in many studies, including in the field of developmental biology, of the physiological responses and adaptation to altered environments, and for cancer and neurobiology research. The embryonic heart rate is an important physiological variable used as an index reflecting the embryo’s natural activity and is considered one of the most difficult parameters to measure. An acceptable measurement technique of embryonic heart rate should provide a reliable cardiac signal quality while maintaining adequate gas exchange through the eggshell during the incubation and embryonic developmental period. In this paper, we present a detailed design and methodology for a non-invasive photoplethysmography (PPG)-based prototype (Egg-PPG) for real-time and continuous monitoring of embryonic heart rate during incubation. An automatic embryonic cardiac wave detection algorithm, based on normalised spectral entropy, is described. The developed algorithm successfully estimated the embryonic heart rate with 98.7% accuracy. We believe that the system presented in this paper is a promising solution for non-invasive, real-time monitoring of the embryonic cardiac signal. The proposed system can be used in both experimental studies (e.g., developmental embryology and cardiovascular research) and in industrial incubation applications.
机译:鸡胚是一种广泛使用的实验动物模型,包括在许多研究中,包括在发育生物学领域,生理反应和改变环境的适应,以及癌症和神经生物学研究。胚胎心率是一种重要的生理变量,作为反映胚胎的自然活动的指标,被认为是最困难的参数之一。胚胎心率可接受的测量技术应提供可靠的心脏信号质量,同时通过孵育和胚胎发育期间通过蛋壳保持足够的气体交换。在本文中,我们介绍了非侵入性光增性血小素(PPG)的详细设计和方法,用于基于孵育期间的胚胎心率的实时和连续监测。基于归一化光谱熵,描述了一种自动胚胎心脏波检测算法。发达的算法成功地估计了胚胎心率,精度为98.7%。我们认为本文提出的系统是对胚胎心脏信号的非侵入性,实时监测的有希望的解决方案。所提出的系统可用于实验研究(例如,发育胚胎学和心血管研究)和工业孵化应用。

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