Session Schedule

Find a specific presentation in the session by navigating to the timestamp indicated below.

0:00:00
Introduction

0:01:45
An Integrated Approach to Sleep-Cardiovascular Physiology: Utilizing Multi-Sensor and Multi-Device Data
Alessandro Silvani (Italy)

0:16:22
Long-Term Monitoring of Sleep, Activity, and Heart Rate Using Multi-Sensor Wearables: Lessons from Narcolepsy Type One
Oriella Gnarra (Switzerland)

0:27:38
Digital Phenotyping via Consumer Wearables to Identify Links Between Sleep, Cardiovascular Disease Risk and Biological Aging
Weng Khong Lim (Singapore)

0:41:10
Leveraging Multi-Sensor Wearable Technology: Mapping Cardiorespiratory Health through PPG and Accelerometry
Pauli Ohukainen (Finland)

0:58:35
Translating Sleep Sensor and Big Data into Cardiorespiratory Care: Clinical Implications and Opportunities
Cathy Goldstein (United States)

1:19:40
Question and answer

Summary

Over the past decade, sensor technology has made remarkable strides in sleep tracking, but the potential of these advancements extends well beyond sleep monitoring alone. In particular, the widespread availability and sophistication of photoplethysmographic (PPG) sensors have unlocked new opportunities for understanding and improving cardiorespiratory health.
This symposium highlights the transformative power of combining advanced sensor technology and artificial intelligence with big data to explore the complex relationship between sleep and cardiorespiratory health up to a population scale. Through presentations of cutting-edge tools for real-time physiological monitoring and sophisticated data analysis in real-world settings, the symposium underscores how these innovations are shaping diagnostics, monitoring, and treatment strategies for sleep and cardiovascular disease conditions and risk factors, paving the way for more personalized healthcare interventions.
A panel of experts will convene to discuss high-quality innovative results and to foster collaboration and knowledge exchange essential to driving progress in sleep and cardiorespiratory health. The proposed panel is highly diverse in terms of countries (United States, Finland, Italy, Switzerland, and Singapore), institutions (4 experts from academia and 1 from industry), genders (2 females and 3 males), and career level (1 new investigator and 4 senior experts).
This symposium introduces a comprehensive approach to understanding the integrated sleep-cardiorespiratory system, presenting novel use cases that demonstrate the application of multi-sensor, multi-site wearable data in cardiovascular sleep research. Key discussions will showcase how combining large-cohort multi-sensor data from consumer wearables with questionnaire responses and phenotypic data can uncover links between sleep patterns, cardiovascular disease risk, and biological aging. Additionally, we will explore the commercial potential of integrating PPG and accelerometry data with AI for assessing sleep-related cardiorespiratory function and highlight applications such as pulse wave velocity measurement for evaluating arterial stiffness. The symposium will conclude with a clinical perspective on the future of wearable sensor technology and big data in enhancing cardiorespiratory care, with a focus on sleep disorders. This final session will address how advancements in wearable sensor-based data collection can be leveraged to improve diagnostics and treatment strategies, potentially advancing primary, secondary and tertiary prevention of cardiovascular disorders associated with sleep health.