基于fpga的非接触式脉搏率检测系统的研制

Yu-Chen Lin, Guan-You Lin, Yuan-Hsiang Lin
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引用次数: 5

摘要

非接触式生理测量是长期监测和未来家庭护理的新趋势。远程图像光电容积脉搏波(RIPPG)是一种非接触式测量数据采集方法。目前,所提出的框架大多是基于PC或智能手机开发的。然而,在基于软件的平台上,大规模的图像和信号操作会导致图像捕获和计算的性能问题。本文提出了一种基于现场可编程门阵列(FPGA)平台的非接触式脉搏率检测系统来评估用户的脉搏率。在硬件支持下,无论计算规模如何,它都能为即时操作提供更稳定的帧率。该系统包含图像传感器、DE2-115 FPGA板、蓝牙模块和智能手机。经临床仪器验证,该系统的脉搏率精度为0.19±7.8 bpm。在未来,该系统可以与病床集成,用于家庭护理和住院使用。
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Development of a FPGA-based contactless pulse rate detection system
Contactless physiological measurement is a new trend for long-term monitoring and future home care. Remote image photo-plethysmography (RIPPG) is one of data acquisition method for contactless measurement. Nowadays, the presented frameworks are mostly developed based on PC or smartphone. However, the large scale of image and signal operations can cause the performance issues for image capturing and computing on software based platforms. In this paper, we propose a contactless pulse rate detection system based on field-programmable gate array (FPGA) platform to evaluate user's pulse rate. With hardware support, it provides a steadier frame rate for instant operations regardless the computation scales. The system contains an image sensor, DE2-115 FPGA board, Bluetooth module and a smartphone. The pulse rate accuracy of the proposed system is 0.19±7.8 bpm after validating with a clinical used apparatus. In the future, the system can be integrated with sick beds for home caring and hospitalizing usages.
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