Special Session 11

SPECIAL SESSION #11

Non-invasive measurements in IoT devices for cardiovascular monitoring

Ramon Casanella

Universitat Politecnica de Catalunya

• ramon.casanella@upc.edu

Oscar Casas

Universitat Politecnica de Catalunya

• jaime.oscar.casas@upc.edu

The rapid advancement of Internet of Things (IoT) technologies has revolutionized non-invasive cardiovascular monitoring, enabling continuous and real-time assessment of physiological parameters without the need for intrusive procedures. This special session focuses on the latest developments in IoT-based sensing techniques for cardiovascular health, including wearable and smart home monitoring systems. The session will explore novel methodologies and devices based on electrocardiography (ECG), photoplethysmography (PPG), impedance plethysmography (IPG), ballistocardiography (BCG), seismocardiography (SCG) or other innovative cardiovascular monitoring systems using a wide range of devices, such as wearable sensors, bed-integrated systems, and smart weighing scales, among others.

Contributions are encouraged in areas such as metrological aspects, signal acquisition, processing, sensor fusion, machine learning-based analysis, and clinical validation of non-invasive cardiovascular monitoring solutions. The session aims to bridge the gap between engineering advancements and medical applications, fostering interdisciplinary collaborations between researchers, clinicians, and industry professionals.

The special session welcomes contributions in (but not limited to) the following areas:

• Wearable and smart home IoT devices for cardiovascular monitoring;
• Non-invasive sensing methods: ECG. PPG, IPG, BCG, SCG;
• Smart beds, weighing scales, and contactless monitoring systems;
• Signal processing techniques for non-invasive cardiovascular measurements;
• Sensor fusion and multimodal data integration;
• Artificial intelligence and machine learning for wearable and smart home IoT applications;
• Clinical validation and real-world applications of non-invasive monitoring;
• Personalized health monitoring and early disease detection;
• Challenges and future trends in non-invasive cardiovascular monitoring.

Ramon Casanella (S’06-M’10) received the M.Sc. degree in physics and the M.Eng. degree in electronic engineering from the University of Barcelona, Barcelona, Spain, in 2000 and 2001, respectively and the Ph.D. degree from the Universitat Politècnica de Catalunya in 2007. He is currently an Associate Professor of electronics with the Castelldefels School of Technology, Universitat Politècnica de Catalunya, Castelldefels (Barcelona), Spain. His research interests are in the fields of electronic and biomedical instrumentation, non-invasive physiological measurements, sensor interfaces and sensor design based on inverse-problem methods.

Oscar Casas (S’93–A’99–M’05) received the B.S degree in telecommunications engineering and the PhD in telecommunications engineering from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 1994 and 1998, respectively. He is currently an Associate Professor of Electronic Engineering with UPC and teaches courses in several areas of electronic instrumentation. His current research interests include sensor interfaces, autonomous sensors, electric impedance measurements, electronic instrumentation and non-invasive physiological measurements.