Version 1
: Received: 18 February 2022 / Approved: 21 February 2022 / Online: 21 February 2022 (05:06:48 CET)
Version 2
: Received: 16 March 2022 / Approved: 16 March 2022 / Online: 16 March 2022 (05:28:32 CET)
Suresha, P.B.; Hegde, C.; Jiang, Z.; Clifford, G.D. An Edge Computing and Ambient Data Capture System for Clinical and Home Environments. Sensors2022, 22, 2511.
Suresha, P.B.; Hegde, C.; Jiang, Z.; Clifford, G.D. An Edge Computing and Ambient Data Capture System for Clinical and Home Environments. Sensors 2022, 22, 2511.
Suresha, P.B.; Hegde, C.; Jiang, Z.; Clifford, G.D. An Edge Computing and Ambient Data Capture System for Clinical and Home Environments. Sensors2022, 22, 2511.
Suresha, P.B.; Hegde, C.; Jiang, Z.; Clifford, G.D. An Edge Computing and Ambient Data Capture System for Clinical and Home Environments. Sensors 2022, 22, 2511.
Abstract
The non-contact patient monitoring paradigm moves patient care into their homes and enables long-term patient studies. The challenge, however, is to make the system non-intrusive, privacy-preserving, and low-cost. To this end, we describe an open-source edge computing and ambient data capture system, developed using low-cost and readily available hardware. We describe five applications of our ambient data capture system. Namely: (a) Estimating occupancy and human activity phenotyping; (b) Medical equipment alarm classification; (c) Geolocation of humans in a built environment; (d) Ambient light logging; and (e) Ambient temperature and humidity logging. We obtained an accuracy of 94% for estimating occupancy from video. We stress-tested the alarm note classification in the absence and presence of speech and obtained micro averaged F1 scores of 0.98 and 0.93, respectively. The geolocation tracking provided a room-level accuracy of 98.7%. The root mean square error in the temperature sensor validation task was 0.3°C and for the humidity sensor, it was 1% Relative Humidity. The low-cost edge computing system presented here demonstrated the ability to capture and analyze a wide range of activities in a privacy-preserving manner in clinical and home environments and is able to provide key insights into the healthcare practices and patient behaviors.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
16 March 2022
Commenter:
Pradyumna Byappanahalli Suresha
Commenter's Conflict of Interests:
Author
Comment:
We received major review from the reviewers at MDPI Sensors journal. We made numerous changes to adhere to the recommendations made by the reviewers. The current version is thus modified signficantly.
Commenter: Pradyumna Byappanahalli Suresha
Commenter's Conflict of Interests: Author