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首页> 外文期刊>Journal of Electrical Systems and Information Technology >Heart rate measurement and electrical pulse signal analysis for subjects span of 20–80 years
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Heart rate measurement and electrical pulse signal analysis for subjects span of 20–80 years

机译:适用于20-80岁受试者的心率测量和电脉冲信号分析

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Highlights ? We provide heartbeat prototype for supporting the preliminary medical science. ? We study the heartbeat and pulse signal that are used with hardware and software. ? Heartbeat data can be recorded into memory card. ? The optical finger sensor is detected with real time measuring. ? Prototype can be used in clinical lab, with 95% accuracy, and cheaper price. Abstract The preliminary research constructs the heart beat or pulse measurement for medical science. The electrical pulse signal analysis that supports one significant clinical study. The research prototype focuses the pulse rate and analysis system which consist of hardware and software parts. The hardware uses the ATMEGA 2560 ADK R3 for processing the input optical sensors, output result to LCD, and record data into SD memory card. The software as embedded algorithm is designed for controlling the input/output parts. Research techniques are applied in term of analog to digital converter, I2C, and data grouping. The 40 subjects are informed consent and measured with ethical research. Experimental result explains the subject behaviors with maximum/minimum pulse values, patterns, and similarity three groups. The distinctive point of medical and health science prototype is accuracy, durability, low power consumption, and cheaper price.
机译:强调 ?我们提供心跳原型以支持基础医学。 ?我们研究与硬件和软件一起使用的心跳和脉冲信号。 ?心跳数据可以记录到存储卡中。 ?通过实时测量来检测光学手指传感器。 ?原型可用于临床实验室,准确度达95%,且价格便宜。摘要初步研究构建了用于医学的心跳或脉搏测量。电脉冲信号分析支持一项重要的临床研究。研究原型着重于脉率和分析系统,该系统由硬件和软件部分组成。硬件使用ATMEGA 2560 ADK R3处理输入的光学传感器,将结果输出到LCD,并将数据记录到SD存储卡中。作为嵌入式算法的软件旨在控制输入/输出部分。研究技术应用于模数转换器,I2C和数据分组。这40名受试者已获得知情同意并通过道德研究进行了评估。实验结果用最大/最小脉冲值,模式和相似性三组解释了受试者的行为。医学和健康科学原型的独特之处在于准确性,耐用性,低功耗和便宜的价格。

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