摘要
针对脸颊时滞图像检测人体心率的方法,提出一种新颖的基于人工智能技术的检测算法。该算法结合模糊逻辑理论,通过各采样数据点模糊隶属度的定义与计算,获得心跳发生时间点,再通过某特定时间段内的心跳次数,计算得心率。实验表明,该算法具有易操作性、精确性及鲁棒性的优点,具有一定实用价值。
Based on the heart rate measurement method using time-lapse image of human cheek, this paper proposes a novel measurement algorithm based on Artificial Intelligence. The algorithm combining with fuzzy logic theory acquires the heart beat point by using the defined fuzzy membership function of each sampled point. As a result, it calculates the heart rate by counting the heart beat points in a certain time period. Experiment shows said algorithm satisfies in operability, accuracy and robustness, which leads to constant practical value.
出处
《中国医疗器械杂志》
CAS
2010年第1期1-3,共3页
Chinese Journal of Medical Instrumentation
关键词
心率检测
生体信号
图像处理
人工智能
heart rate measurement, vital signal, image processing, Artificial Intelligence
