Venugopal Karthikeyan, Shanmugasundaram Vivekanandan
Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu632 014, India.
Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu632 014, India.
ACS Omega. 2022 Jul 18;7(30):26863-26870. doi: 10.1021/acsomega.2c03281. eCollection 2022 Aug 2.
Among the wearable sensor family, the triboelectric nanogenerator has excellent potential in human healthcare systems due to its small size, self-powered, and low cost. Here is the design and simulation of the triboelectric nanogenerator using the 3D model in COMSOL Multiphysics software for blood pressure measurement. As a reliable indicator of human physiological health, blood pressure (BP) has been utilized in more and more cases to predict and diagnose potential diseases and the dysfunction caused by hypertension. The main focus of this study is to prognosis and preserve human health against BP. It is one of the significant challenges in predicting and diagnosing BP in the human lifestyle. The self-powered triboelectric nanogenerator can diagnose BP using the wrist pulse pressure. To optimize the performance of the modeled triboelectric nanogenerator, the known wrist pulse pressure is applied explicitly, which converts the applied pressure into an equivalent electrical signal across the output terminals. An output open circuit voltage for the applied pulse pressure is 26 V. The generated output electrical signal is proportional to the applied pulse pressure, which is used to know the BP range. It ensures that the triboelectric nanogenerator is an opted sensor to sense the minute nadi pressure signal. This work validates that the simulated model has the potential to act as several health care monitors such as respiratory rate, heart rate, glucose range, joint motion sensing, gait, and CO detectors.
在可穿戴传感器家族中，摩擦纳米发电机由于其尺寸小、自供电且成本低，在人体医疗保健系统中具有巨大潜力。本文介绍了利用COMSOL Multiphysics软件中的三维模型设计和模拟用于血压测量的摩擦纳米发电机。血压作为人体生理健康的可靠指标，已越来越多地用于预测和诊断潜在疾病以及高血压引起的功能障碍。本研究的主要重点是针对血压进行预后评估并维护人体健康。这是人类生活方式中预测和诊断血压的重大挑战之一。自供电摩擦纳米发电机可利用手腕脉压来诊断血压。为了优化所建模型的摩擦纳米发电机的性能，明确施加已知的手腕脉压，其将施加的压力转换为跨输出端的等效电信号。施加脉冲压力时的输出开路电压为26V。产生的输出电信号与施加的脉冲压力成正比，用于了解血压范围。这确保了摩擦纳米发电机是一种用于感测微小脉压信号的理想传感器。这项工作验证了所模拟的模型有潜力充当多种医疗保健监测器，如呼吸频率、心率、血糖范围、关节运动传感、步态和一氧化碳探测器。
