스마트짐 기반 액티브 시니어 헬스케어 중개연구 센터

Duc Tri Phan, Thi Tuong Vy Phan, Thanh Canh Huynh, Sumin Park, Jaeyeop Choi, Junghwan Oh 

Computers and Electrical Engineering, 202207

 Fig. 7. The BP estimation performance (a) correlation plots (b) and Bland-Altman plots of reference and estimation SBP and DBP based PTT with different PTT-BP models.

  In this study, we proposed a wearable device based on pulse transit time techniques with multimodal biosensors for noninvasive, cuff-less, and long-term blood pressure monitoring. The design of a wearable sensor system is proposed for measurements of different physiological signals. We further tested the proposed device using different estimation models with the combination of pulse transit time, heart rate, and radial impedance to enhance the blood pressure estimation accuracy. The model based on the magnitude of the impedance plethysmography performed better than the other estimation models. Furthermore, we demonstrated the continuous, long？term capability of the multimodal biosensor for blood pressure estimation via different exercise tasks. Our proposed estimation device is a promising approach for the convenient, reliable, and continuous monitoring of blood pressure and prediction of hypertension during exercise.