Accepted for/Published in: JMIR Formative Research
Date Submitted: Sep 30, 2022
Date Accepted: Jan 3, 2023
Development of an Open-Source and Lightweight Sensor Recording Software for Conducting Biomedical Research: A Technical Report
ABSTRACT
Background:
Digital sensing devices have become an increasingly important component of modern biomedical research, helping gain objective insights into individuals' everyday behavior. However, there is a significant barrier to the adoption of sensor-enhanced biomedical solutions, both in terms of technical expertise, as well as in associated costs.
Objective:
The objective of this paper is to detail the end-to-end development of a novel sensor recording software that supports the integration of arbitrary sensor technologies, runs as an on-demand service on consumer-grade hardware, and can be easily used to reliably record longitudinal sensor measurements in research settings.
Methods:
The proposed software system is based on a server-client architecture, consisting of multiple self-contained components. To demonstrate performance, we used descriptive statistics to evaluate longitudinal measurements for reliability, error rates, throughput rates, latency, and usability.
Results:
Our findings show that the system operates reliably on consumer-grade hardware, even across multiple months (420 days), providing high throughput (2000 requests per second) with a low latency and error rate (<0.002%). Additionally, the usability tests indicate that the system is effective, efficient, and satisfactory to use.
Conclusions:
Overall, this system could be leveraged to test sensor devices, as well as to develop and validate algorithms that are able to extract digital measures. The proposed system could help to significantly reduce barriers related to sensor enhanced biomedical research, and to focus on the research questions at hand rather than on developing recording technologies. Clinical Trial: N/A
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