Connected Biomedical Objects for eHealth (IomT)
BIOGRAPHY
Dan Istrate is a Professor at the University of Technology of Compiègne, one of the first generalist
engineering schools in France. He is also a researcher at the Biomechanics and Bioengineering
Laboratory (BMBI, UMR CNRS 7338). Since January 2026, he has served as Deputy Director of the
BMBI Laboratory.
His three main research areas are the detection of frailty and distress in older adults, birth prediction
in high-risk pregnancies, and stress detection in ambulatory conditions. He has published 37 articles
in international journals and presented 95 communications at international conferences. He has
supervised 16 PhD students, 10 postdoctoral researchers, and 25 master’s students. He has also
served as an expert reviewer for the French National Research Agency, the French Research Tax
Credit, ECOS SUD, NSERC/CRSNG, and the AAL Programme.
ABSTRACT
The rise of connected medical devices, the Internet of Medical Things (IoMT), and sensor technologies has
made Ambient Assisted Living (AAL) and home monitoring of older adults a critical research area. This work
focuses on recognizing Activities of Daily Living (ADL) using classical sensors, such as motion and door-opening
sensors, coupled with an original smart sound sensor that recognizes environmental sounds while preserving
personal privacy. The system follows a “3N” approach: no audio recording, no cloud computing, and no speech
recognition. A hybrid approach based on two layers, ontology and AI, is currently being developed for ADL
recognition.
For high-risk pregnancies, premature birth can have negative consequences for the newborn. We are
developing a delivery-date prediction algorithm based on uterine electrical monitoring, known as
electrohysterography (EHG), using multiple surface electrodes. New signal-processing methods and AI-based
prediction algorithms are being proposed.
Stress detection in ambulatory conditions is also a current challenge. Although many devices already exist,
including smartwatches, mobile applications, and smart wristbands, stress scales and evaluation procedures
are not yet standardized. Our work focuses on developing methods based on physiological signals, including
heart-rate variability (HRV), electrodermal activity (EDA), and skin temperature, to propose a personalized
stress score and detect chronic stress. We are currently recording a real-life database with students during
written and oral examination periods, coupled with questionnaires
Date and Time
Location
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- 200 University Ave W
- Waterloo, Ontario
- Canada N2L 3G1
- Building: EIT
- Room Number: 3142
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- Starts 21 June 2026 04:00 AM UTC
- Ends 23 June 2026 04:00 AM UTC
- No Admission Charge
Speakers
Dan Istrate
Biography:
Dan Istrate is a Professor at the University of Technology of Compiègne, one of the first generalist
engineering schools in France. He is also a researcher at the Biomechanics and Bioengineering
Laboratory (BMBI, UMR CNRS 7338). Since January 2026, he has served as Deputy Director of the
BMBI Laboratory.
His three main research areas are the detection of frailty and distress in older adults, birth prediction
in high-risk pregnancies, and stress detection in ambulatory conditions. He has published 37 articles
in international journals and presented 95 communications at international conferences. He has
supervised 16 PhD students, 10 postdoctoral researchers, and 25 master’s students. He has also
served as an expert reviewer for the French National Research Agency, the French Research Tax
Credit, ECOS SUD, NSERC/CRSNG, and the AAL Programme.
Email:
Address:France
