Vasu V, Fox N, Brabetz T, Wren M, Heneghan C, Sezer S
The Institute of Electronics, Communications and Information Technology, Queen's University Belfast, Belfast BT3 9DT, Northern Ireland, U.K.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:4682-6. doi: 10.1109/IEMBS.2009.5334223.
A 5.8-GHz ISM-Band radio-frequency sensor has been developed for non-contact measurement of respiration and heart rate from stationary and semi-stationary subjects at a distance of 0.5 to 1.5 meters. We report on the accuracy of the heart rate measurements obtained using two algorithmic approaches, as compared to a reference heart rate obtained using a pulse oximeter. Simultaneous Photoplethysmograph (PPG) and non-contact sensor recordings were recorded over fifteen minute periods for ten healthy subjects (8M/2F, ages 29.6 + or - 5.6 yrs) One algorithm is based on automated detection of individual peaks associated with each cardiac cycle; a second algorithm extracts a heart rate over a 60-second period using spectral analysis. Peaks were also extracted manually for comparison with the automated method. The peak-detection methods were less accurate than the spectral methods, but suggest the possibility of acquiring beat by beat data; the spectral algorithms measured heart rate to within + or -10% for the ten subjects chosen. Non-contact measurement of heart rate will be useful in chronic disease monitoring for conditions such as heart failure and cardiovascular disease.
已开发出一种5.8吉赫兹工业、科学和医疗（ISM）频段射频传感器，用于在0.5至1.5米的距离对静止和半静止受试者的呼吸和心率进行非接触式测量。我们报告了使用两种算法方法获得的心率测量的准确性，并与使用脉搏血氧仪获得的参考心率进行了比较。对10名健康受试者（8名男性/2名女性，年龄29.6±5.6岁）在15分钟内同时记录光电容积脉搏波描记图（PPG）和非接触式传感器记录。一种算法基于自动检测与每个心动周期相关的单个峰值；第二种算法使用频谱分析在60秒内提取心率。还手动提取峰值以与自动方法进行比较。峰值检测方法不如频谱方法准确，但表明有可能逐搏获取数据；对于所选的10名受试者，频谱算法测量的心率在±10%以内。心率的非接触式测量将有助于对心力衰竭和心血管疾病等慢性病进行监测。
