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Real-Time Processing Library for Open-Source Hardware Biomedical Sensors

机译:开源硬件生物医学传感器的实时处理库

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摘要

Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino Genuino. In addition, 11 people took part in an experiment in which they had to implement several exercises and complete a usability test. Sampling rates under 250 Hz (typical for many biomedical applications) makes it feasible to implement filters, sliding windows and Fourier analysis, operating in real time. Participants rated software usability at 70.2 out of 100 and the ease of use when implementing several signal processing applications was rated at just over 4.4 out of 5. Participants showed their intention of using this software because it was percieved as useful and very easy to use. The performances of the library showed that it may be appropriate for implementing small biomedical real-time applications or for human movement monitoring, even in a simple open-source hardware device like Arduino Genuino. The general perception about this library is that it is easy to use and intuitive.
机译:涉及从传感器获取数据的应用需要以预设的频率速率采样,滤除噪声和/或分析某些频率分量。我们提出了一种基于开放软件硬件平台的新颖软件体系结构,该体系结构允许程序员从输入通道创建数据流,并轻松实现滤波器和频率分析对象。在低成本平台Arduino Genuino中分析了不同类在分配的内存大小和执行时间(时钟周期数)方面的性能。此外,有11个人参加了一个实验,其中他们必须执行几次练习并完成可用性测试。 250 Hz以下的采样率(对于许多生物医学应用而言是典型的)使实现实时运行的滤波器,滑动窗口和傅里叶分析成为可能。参加者对软件可用性的评价是100中的70.2,而在实施几种信号处理应用程序时的易用性仅在5分中得到4.4以上。参加者表明了使用此软件的意图,因为它被认为是有用且非常易于使用的。该库的性能表明,它甚至适用于像Arduino Genuino这样的简单开源硬件设备,也适合于实现小型生物医学实时应用程序或人体运动监控。关于此库的一般看法是,它易于使用且直观。

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