6 papers
WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms
Peng Cao, Zhijian Yang, Tennison Liu +17
Wearable sensors enable the continuous acquisition of high-resolution physiological waveforms, such as photoplethysmography and accelerometry, under free-living conditions. However…
Beyond BMI: Smartphone Body Composition Phenotyping for Cardiometabolic Risk Assessment
Menglian Zhou, Arno Charton, Emily Blanchard +19
Body Mass Index (BMI) is a widely accessible but imprecise proxy of cardiometabolic health. While assessing true body composition is superior, gold-standard methods like Dual-Energ…
Smartphone monitoring of smiling as a behavioral proxy of well-being in everyday life
Ming-Zher Poh, Shun Liao, Marco Andreetto +10
Subjective well-being is a cornerstone of individual and societal health, yet its scientific measurement has traditionally relied on self-report methods prone to recall bias and hi…
UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach
Elzbieta Gruzewska, Pooja Rao, Sebastien Baur +14
Radar technology presents untapped potential for continuous, contactless, and passive heart rate monitoring via consumer electronics like mobile phones. However the variety of avai…
A High-Throughput Platform to Bench Test Smartphone-Based Heart Rate Measurements Derived From Video
Ming-Zher Poh, Jonathan Wang, Jonathan Hsu +6
Smartphone-based heart rate (HR) monitoring apps using finger-over-camera photoplethysmography (PPG) face significant challenges in performance evaluation and device compatibility…
Passive Heart Rate Monitoring During Smartphone Use in Everyday Life
Shun Liao, Paolo Di Achille, Jiang Wu +15
Resting heart rate (RHR) is an important biomarker of cardiovascular health and mortality, but tracking it longitudinally generally requires a wearable device, limiting its availab…