Furthermore, by 2030 this number is expected to rise steadily to 23.6 million. [2] Despite such high mortality rates, most CVD, [3,4] including arteriosclerosis, [5,6] diabetes, [7][8][9][10] myocardial infarction, [11,12] coronary heart disease, [13,14] and hypertension, [15][16][17][18] can be prevented and treated through early diagnosis and long-term monitoring of physiological signaling. Conventional health systems suffer from deficiencies in wearability, wireless technology, lifespan, and stability to maintain a long-term collection of clinical-grade individual health metrics for accurate diagnosis. [19][20][21] As such, promoting the utility of Internet of Things (IoT)-enabled technology in personalized healthcare is still significantly impeded by the need for costeffective and wearing-comfort biomedical devices to continuously provide real-time patient-generated health data. Over the past several decades, significant advances in wearable pressure sensors have been observed, allowing them to noninvasively and continuously detect human physiological and pathological signals. [22][23][24][25][26][27][28][29][30][31][32][33][34][35] These biomedical metrics can then be used to evaluate cardiovascular conditions, providing a personalized health care system with better health outcomes, increased user-friendliness, greater quality, and cost-effectiveness that are essential to reducing CVD incidence and mortality. [36][37][38][39] Pulse waves are prominent component of human physiological signaling and involve abundant human-health information that can reveal individual conditions, including heart problems (such as arrhythmia), blood pressure, vascular aging, exercise, medication, and sleep status. [40][41][42][43][44][45] Although physical symptoms are often elusively observed in their early stages, they can be diagnosed through subtle pulsewave changes. Preventive action of CVDs can be taken by differentiating the variance of pulse waveforms with consideration of participants' age, gender, weight, and daily diet. [46][47][48][49] Traditional Chinese medicine (TCM) has proposed empirical approaches to analyze human physical state from pulse waves, rendering pulse wave surveillance unavoidable for TCM. [50,51] TCM is unable to continuously monitor pulse waves, limiting the accuracy of the assessment results. As such, empirical diagnostic methods may profoundly depend on the experiences of the practitioner, the emotions of the participant, and the external environment, resulting in the administration of distorted or problematic treatment. [52] Additionally, the diagnostic results among practitioners are Cardiovascular diseases remain the leading cause of death worldwide. The rapid development of flexible sensing technologies and wearable pressure sensors have attracted keen research interest and have been widely used for longterm and real-time cardiovascular status monitoring. Owing to compelling characteristics, including light weight, wearing comfort, and high sensitivity to pulse pressures, physiological pulse ...