Dash Ashutosh, Ghosh Nirmalya, Patra Amit, Choudhury Anirban Dutta
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2691-2694. doi: 10.1109/EMBC44109.2020.9175696.
The primary risk factor of hypertension, is the lack of awareness caused by the unavailability of ubiquitous blood pressure (BP) measurement. In this study, we have investigated the BP estimation using the photoplethysmogram (PPG) signal and a suitable subject-specific mathematical model. The linear transfer function (LTF) technique was used to identify the subject-specific model. Firstly, we tried to identify the model considering arterial blood pressure (ABP) as input and PPG as output, and we achieved an average estimation accuracy (normalized root mean square, NRMSE) of 84.4%. Next, we fitted an inverse model, where ABP is the output, and PPG is the input, and we achieved an average estimation accuracy (NRMSE) of 84.7%. Finallly, We verified that the two identified models mentioned above are inverse of each other. In this study, we have used ABP and PPG signals of 10 (male = 7, female = 3) subjets from the MIMIC II database. The results are quite promising for the use of the PPG in the detection and diagnosis of cardiovascular diseases.
高血压的主要风险因素是由于普遍缺乏血压测量而导致的认识不足。在本研究中，我们研究了使用光电容积脉搏波描记图（PPG）信号和合适的个体特异性数学模型进行血压估计。线性传递函数（LTF）技术用于识别个体特异性模型。首先，我们尝试将动脉血压（ABP）作为输入、PPG作为输出识别模型，平均估计准确率（归一化均方根，NRMSE）达到了84.4%。接下来，我们拟合了一个逆模型，其中ABP是输出，PPG是输入，平均估计准确率（NRMSE）达到了84.7%。最后，我们验证了上述两个识别出的模型互为逆模型。在本研究中，我们使用了MIMIC II数据库中10名（男性7名，女性3名）受试者的ABP和PPG信号。这些结果对于将PPG用于心血管疾病的检测和诊断很有前景。
