Contact-less vital sign monitoring using a COTS resource-constrained multi-core system

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 our experience in improving 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. In particular, we describe how, by using a state-of-research tool to visualize the behavior of a system, performance bottlenecks and issues of the system are identified and resolved. The resulting 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%

Towards contact-less vital sign monitoring using a cots resource-constrained multi-core system: an experience report

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%