Non-Intrusive Monitoring of Vital Signs in the Lower Limbs Using Optical Sensors
Joana Simões,
Regina Oliveira,
Florinda M. Costa,
António Teixeira,
Cátia Leitão,
Pedro Correia,
Ana Luísa M. Silva
Affiliations
Joana Simões
Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N), Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal
Regina Oliveira
Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N), Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal
Florinda M. Costa
Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N), Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal
António Teixeira
Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Department of Electronics Telecommunications & Informatics, University of Aveiro, 3810-193 Aveiro, Portugal
Cátia Leitão
Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N), Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal
Pedro Correia
Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N), Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal
Ana Luísa M. Silva
Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N), Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal
Invisible health monitoring is currently a topic of global interest within the scientific community. Sensorization of everyday objects can provide valuable health information without requiring any changes in people’s routines. In this work, a feasibility study of photoplethysmography (PPG) acquisition in the lower limbs for continuous and real-time monitoring of the vital signs, including heart rate (HR) and respiratory rate (RR), is presented. The proposed system uses two MAX30102 sensors to obtain PPG signals from the back of the thigh. As proof of concept, tests were conducted in 17 volunteers (age group between 22 and 40 years old, twelve females and five males), and the results were compared to those of reference sensors. A Pearson correlation coefficient of r = 0.92 and r = 0.77 and a mean difference of 1.2 bpm and 0.9 rpm for HR and RR, respectively, were obtained between the developed system and reference. System accuracies of 95.9% for HR and 91.3% for RR were achieved, showing the system viability for vital sign monitoring of the lower limbs.
