Applying Pulse Spectrum Analysis to Facilitate the Diagnosis of Coronary Artery Disease

Abstract

Not all patients with angina pectoris have coronary artery stenosis. To facilitate the diagnosis of coronary artery disease (CAD), we sought to identify predictive factors of pulse spectrum analysis, which was developed by Wang and is one technique of modern pulse diagnosis. The patients suffered from chest pain and received cardiac catheterization to confirm the CAD diagnosis and Gensini score were recruited. Their pulse waves of radial artery were recorded. Then, by performing a fast Fourier transform, 10 amplitude values of frequency spectrum harmonics were obtained. Each harmonic amplitude was divided by the sum of all harmonic amplitude values, obtaining the relative percentages of 10 harmonics (C1-C10). Subsequently, multivariate logistic regression was conducted with two models and the areas under the receiver operating characteristic curves (ROC) of these 2 models were compared to see if combining the pulse diagnosis parameters with the risk factor of CAD can increase the prediction rate of CAD diagnosis. The predictive factors of CAD severity were analyzed by multivariate linear regression. A total of 83 participants were included; 63 were diagnosed CAD and 20 without CAD. In the CAD group, C1 was greater and C5 was lower than those of the non-CAD group. The CAD risk factors were put alone in Model 1 to perform the multivariate logistic regression analysis which had a prediction rate of 77.1%; while putting the C1 and C5 harmonics together with the risk factors into Model 2, the prediction rate increased to 80.7%. Finally, the area under ROC of Model 1 and Model 2 was 0.788 and 0.856, respectively. Furthermore, left C1, left C5, gender, and presence of hyperlipidemia were predictors of CAD severity. Therefore, pulse spectrum analysis may be a tool to facilitate CAD diagnosis before receiving cardiac catheterization. The harmonics C1 and C5 were favorable predictive indicators.

Increasing the sensor channels: a solution for the pressing offsets that cause the physiological parameter inaccuracy in radial artery pulse signal acquisition

“…To measure radial pulse signals, a series of acquisition devices have been developed and applied in pulse acquisition ( Luo et al, 2012a ; Qiao et al, 2018 ; Tsai et al, 2018 ; Fu et al, 2019 ; Huang et al, 2019 ). These devices employ sensors with one sensing element to capture radial pulse signals.…”

Faktor Risiko yang Berhubungan dengan Kejadian Serangan Berulang Pasien Penyakit Jantung Koroner; Literature Review

“…Namun, kepatuhan minum obat sangat didukung oleh pengetahuan yang dimiliki pasien. Kepatuhan minum obat bagi pasien PJK akan dapat dilaksanakan secara baik apabila pasien mengetahui manfaat dari pengobatan yang dianjurkan (2,45,(49)(50)(51)(52).…”

A First Step towards a Comprehensive Approach to Harmonic Analysis of Synchronous Peripheral Volume Pulses: A Proof-of-Concept Study

“…Professors Tsai et al indicated that the harmonic characteristics of the radial artery in the wrist at different positions and different parameters were not identical, and recommended that any measurement location in future studies on the HA of pressure pulse diagnosis needs a more finely adjusted analysis [10]. More importantly, there have been further studies about the HA of radial arterial waveform (e.g., a kind of peripheral pressure pulse) addressing hypertension [11] and monitoring applied to coronary artery disease [12], type 2 diabetes mellitus [13][14][15][16], and the preservation of health [17]. On the other hand, a noninvasive wearable MEMS pressure sensor array was proposed in [18] for monitoring the arterial pulse waveform and heart rate, and the detection of atrial fibrillation.…”