16 citations · 29 across the 5 of their papers we have counts for
5 papers
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning
Marco Giordano, Kanika Dheman, Michele Magno
Sepsis is a lethal syndrome of organ dysfunction that is triggered by an infection and claims 11 million lives per year globally. Prognostic algorithms based on deep learning have…
i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring
Kanika Dheman, Marco Giordano, Cyriac Thomas +2
Sepsis is a significant cause of early mortality, high healthcare costs, and disability-adjusted life years. Digital interventions like continuous cardiac monitoring can help detec…
Earable and Wrist-worn Setup for Accurate Step Counting Utilizing Body-Area Electrostatic Sensing
Sizhen Bian, Rakita Strahinja, Philipp Schilk +5
Step-counting has been widely implemented in wrist-worn devices and is accepted by end users as a quantitative indicator of everyday exercise. However, existing counting approach (…
Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring
Steven Marty, Federico Pantanella, Andrea Ronco +2
Non-contact vital sign monitoring has many advantages over conventional methods in being comfortable, unobtrusive and without any risk of spreading infection. The use of millimeter…
Non-invasive urinary bladder volume estimation with artefact-suppressed bio-impedance measurements
Kanika Dheman, Stefan Walser, Philipp Mayer +7
Urine output is a vital parameter to gauge kidney health. Current monitoring methods include manually written records, invasive urinary catheterization or ultrasound measurements p…