Abstract
Contact-less vital-sign monitoring is enabling in situations where traditional contact-based vital sign monitoring is prohibitive, such as neonatal and burn care where electrodes and attachments risk patient infection or complications. To make vital-sign monitoring available for the consumer market, these algorithms shall use COTS cameras and run on COTS systems. In this paper, we report upon the results of an experiment to improve the performance of a contact-less respiration algorithm on a resource-constrained COTS multi-core system, in our case a Raspberry Pi 3 running Linux, using a state-of-the-art tool to visualize the behavior of a system. The improvements are an increase of the CPU utilization from 72% to almost 94% and an increase of the throughput of the algorithm by more than 45%.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE 22nd International Symposium on Real-Time Distributed Computing, ISORC 2019 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 77-78 |
Number of pages | 2 |
ISBN (Electronic) | 978-1-7281-0151-4 |
DOIs | |
Publication status | Published - 1 May 2019 |
Event | 22nd IEEE International Symposium on Real-Time Distributed Computing, ISORC 2019 - Valencia, Spain Duration: 7 May 2019 → 9 May 2019 |
Conference
Conference | 22nd IEEE International Symposium on Real-Time Distributed Computing, ISORC 2019 |
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Country/Territory | Spain |
City | Valencia |
Period | 7/05/19 → 9/05/19 |