Abstract
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.
Highlights
In this work, we propose a software library, containing a set of classes, which allows the use of basic signal processing algorithms in low-cost open-source hardware (OSHW) platforms.The programmer will be able to set up simple biomedical applications very quickly and
We excluded subjects belonging to group G2 from the analysis because: (a) they are undergraduate and not still integrated in a business or departmental environment; (b) the use/implantation of this software is being promoted in a university department, where it is more likely that people related to it can see the benefits or drawbacks of its use
Subjects S5 and S11 did not fill in this survey, so the population under testing was reduced down to only five people, which limits the significance of the results
Summary
The programmer will be able to set up simple biomedical applications very quickly and Such applications include filtering out the power line interference in bio-electrical signals, smoothing, frequency analysis, etc. There is currently a growing interest in interconnecting these small computers to increase their interoperability and control through internal or external networks This is called the Internet of Things (IoT) [1], which, in turn, is reinforcing the usage of these hardware platforms. The specifications of these micro-computers (clock frequency, memory size, kind and number of peripheral devices such as timers, analog-to-digital converters (ADC), etc.) are set according to the number and type of input/output lines and the complexity of the algorithms running in them. For audio processing, the data size should be equal to or greater than 16 bits with a sampling frequency of
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