| Title: |
Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report. |
| Authors: |
Single, Michael; Bruhin, Lena C; Schütz, Narayan; Naef, Aileen C; Hegi, Heinz; Reuse, Pascal; Schindler, Kaspar A; Krack, Paul; Wiest, Roland; Chan, Andrew; Nef, Tobias; Gerber, Stephan M |
| Source: |
Single, Michael; Bruhin, Lena C; Schütz, Narayan; Naef, Aileen C; Hegi, Heinz; Reuse, Pascal; Schindler, Kaspar A; Krack, Paul; Wiest, Roland; Chan, Andrew; Nef, Tobias; Gerber, Stephan M (2023). Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report. JMIR formative research, 7(e43092), e43092. JMIR Publications 10.2196/43092 |
| Publisher Information: |
JMIR Publications |
| Publication Year: |
2023 |
| Collection: |
BORIS (Bern Open Repository and Information System, University of Bern) |
| Subject Terms: |
570 Life sciences; biology; 610 Medicine & health; 790 Sports; games & entertainment |
| Description: |
BACKGROUND Digital sensing devices have become an increasingly important component of modern biomedical research, as they help provide objective insights into individuals' everyday behavior in terms of changes in motor and nonmotor symptoms. However, there are significant barriers to the adoption of sensor-enhanced biomedical solutions in terms of both technical expertise and associated costs. The currently available solutions neither allow easy integration of custom sensing devices nor offer a practicable methodology in cases of limited resources. This has become particularly relevant, given the need for real-time sensor data that could help lower health care costs by reducing the frequency of clinical assessments performed by specialists and improve access to health assessments (eg, for people living in remote areas or older adults living at home). OBJECTIVE The objective of this paper is to detail the end-to-end development of a novel sensor recording software system that supports the integration of heterogeneous sensor technologies, runs as an on-demand service on consumer-grade hardware to build sensor systems, 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 microservices that communicated with each other (eg, the web server transfers data to a database instance) and were implemented as Docker containers. The design of the software is based on state-of-the-art open-source technologies (eg, Node.js or MongoDB), which fulfill nonfunctional requirements and reduce associated costs. A series of programs to facilitate the use of the software were documented. To demonstrate performance, the software was tested in 3 studies (2 gait studies and 1 behavioral study assessing activities of daily living) that ran between 2 and 225 days, with a total of 114 participants. We used descriptive statistics to evaluate longitudinal measurements for reliability, ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://boris.unibe.ch/178926/ |
| Availability: |
https://boris.unibe.ch/178926/1/Development_of_an_Open-source_and_Lightweight_Sensor.pdf; https://boris.unibe.ch/178926/ |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.4EC69A7B |
| Database: |
BASE |