Contact-Free
Cardiac Insight

RFCARDIA is a French startup officially recognized as a Deeptech company by Bpifrance. It combines advanced embedded AI with proprietary radio-frequency medical sensing to enable passive, contact-free cardio-respiratory monitoring, with no devices to wear, no buttons to press, and nothing to remember.

RFCARDIA contact-free monitoring for senior safety
WHAT IS THE PROBLEM?

The Physiological Blind Spot

Between clinical visits, caregiver rounds and emergency situations, many fragile people remain in a silent physiological blind spot. Heart rate, respiratory rate, immobility, falls and early signs of deterioration are often not continuously observed, especially in senior living facilities, home care and hospital-at-home settings.

Existing solutions remain limited: wearables require acceptance and charging, cameras raise privacy concerns, bed sensors only work in bed, and spot-checks provide isolated snapshots. RFCARDIA aims to close this gap with a contact-free, privacy-first monitoring layer, without camera, microphone or wearable device, designed to support continuous cardio-respiratory insight while preserving dignity and comfort.

RFCARDIA Real-time Heart Localization
RFCARDIA RF signal processing and SCG-like reconstruction visual
Static frame of AI-assisted heart localization
Internal preliminary R&D result under validation.
Presentation
COMPANY UPDATES

Latest Milestones

DEEPTECH 01 / 07

Certified Deeptech

RFCARDIA is certified Deeptech by Bpifrance and selected for the French Tech Emergence Grant, strengthening recognition of its contact-free cardio-respiratory monitoring technology.

COMPANY UPDATES

Latest Milestones

DEEPTECH 01 / 07

Certified Deeptech

RFCARDIA is certified Deeptech by Bpifrance and selected for the French Tech Emergence Grant, strengthening recognition of its contact-free cardio-respiratory monitoring technology.

HOW IT WORKS

RFCARDIA Turns Signals Into Action

Contact-free sensing, signal processing and embedded AI work together to transform subtle cardio-respiratory micro-movements into information that can support timely, prioritized attention.

  1. 01 · SENSE

    Contact-Free Physiological Sensing

    A compact RFCARDIA unit passively captures tiny thoracic micro-movements linked to breathing and cardiac activity, without anything worn, charged or actively operated by the person.

  2. 02 · EXTRACT

    Cardio-Respiratory Signal Extraction

    Signal processing separates weak physiological motion from noise and artefacts, extracting cleaner cardio-respiratory information while supporting richer cardio-mechanical reconstruction under development.

  3. 03 · INTERPRET

    Embedded AI & Pattern Analysis

    Embedded AI evaluates signal quality, physiological trends and abnormal patterns, combining multiple signal features to progressively support more advanced cardio-respiratory interpretation under validation.

  4. 04 · ACT

    Prioritized Alerts & Decision Support

    When attention may be needed, information can be prioritized and routed to nurses, care teams, family members or monitoring platforms according to deployment needs, supporting better prioritization of limited care resources.

NO CAMERA
NO MICROPHONE
NO WEARABLE
NO PATIENT ACTION

Advanced physiological interpretation and alerting functions are under validation.

HOW IT WORKS

RFCARDIA Turns Signals Into Action

Contact-free sensing, signal processing and embedded AI work together to transform subtle cardio-respiratory micro-movements into information that can support timely, prioritized attention.

  1. 01 · SENSE

    Contact-Free Physiological Sensing

    A compact RFCARDIA unit passively captures tiny thoracic micro-movements linked to breathing and cardiac activity, without anything worn, charged or actively operated by the person.

  2. 02 · EXTRACT

    Cardio-Respiratory Signal Extraction

    Signal processing separates weak physiological motion from noise and artefacts, extracting cleaner cardio-respiratory information while supporting richer cardio-mechanical reconstruction under development.

  3. 03 · INTERPRET

    Embedded AI & Pattern Analysis

    Embedded AI evaluates signal quality, physiological trends and abnormal patterns, combining multiple signal features to progressively support more advanced cardio-respiratory interpretation under validation.

  4. 04 · ACT

    Prioritized Alerts & Decision Support

    When attention may be needed, information can be prioritized and routed to nurses, care teams, family members or monitoring platforms according to deployment needs, supporting better prioritization of limited care resources.

NO CAMERA
NO MICROPHONE
NO WEARABLE
NO PATIENT ACTION

Advanced physiological interpretation and alerting functions are under validation.

USE CASES

One Sensing Layer, Multiple Environments

From senior care and home monitoring to clinical research and wellbeing experiences, RFCARDIA is designed as a flexible contact-free sensing layer for environments where passive physiological insight can add value.

CHOOSE A DEPLOYMENT CONTEXT
PRIMARY DEPLOYMENT ENVIRONMENT

Senior Living & Nursing Homes

Passive cardio-respiratory monitoring for elderly or fragile residents, providing an additional layer of visibility between human checks and helping care teams prioritize attention when unusual trends or prolonged inactivity may warrant review.

HR / RR Immobility Care prioritization
SENIOR CARE

Senior Living & Nursing Homes

Multi-room visibility between human checks, with information organized for prioritized review.

Multi-room Care overview
MULTI-ROOM CARE OVERVIEW Resident monitoring
Live
Room 204Monitoring
HR 72RR 17
Room 207Stable trend
No recent change
Room 211Review
Trend review suggested
Room 219Monitoring
Ongoing passive observation
CARE TEAM OVERVIEW Room-level visibility & review queue
Room 211 Highlighted for review
Room-level care overview — illustrative interface
HOME & COMMUNITY

Home Care & Living Alone

Contact-free monitoring for people living independently, with information routed to family, caregivers or remote monitoring services according to deployment needs.

Independent living Passive monitoring Support routing
HOME & COMMUNITY

Home Care & Living Alone

Home monitoring connected to the right support network.

Support routing
HOME Monitoring active
FamilyOptional recipient
CaregiverCare support
Remote monitoringMonitoring service

Information routed according to deployment configuration.

CARE CONTINUITY

Hospital-at-Home & Post-Acute Care

A future monitoring layer between clinical visits, supporting physiological follow-up across hospital-at-home and post-acute pathways, subject to clinical validation.

Follow-up Post-acute Under validation
CARE CONTINUITY

Hospital-at-Home & Post-Acute Care

Physiological follow-up between clinical visits for future HAD and post-acute pathways.

Under validation
Clinical Visit Human assessment
Home Monitoring RFCARDIA layer
Care Review Prioritized follow-up
R&D / VALIDATION

Clinical Research & Validation

A research platform for collecting contact-free cardio-respiratory signals, benchmarking HR/RR, developing SCG-like reconstruction and preparing future validation of physiological interpretation models.

RESEARCH TARGETS
HR RR SCG-like Validation
VALIDATION PIPELINE
01 Raw RF Contact-free acquisition
02 Extract Signal processing
03 Quality Feature & signal quality Structured features
04 Reference RFCARDIA vs reference
05 Validate Future validation pathway
Under validation
DEPLOYMENT FLEXIBILITY

Information can be routed according to the care or monitoring context.

Care Team Family Remote Monitoring Research Platform

Care and clinical applications shown represent target use cases under development and validation. Wellbeing examples are non-medical and illustrative.

DEEPTECH TECHNOLOGY ARCHITECTURE

From Contact-Free Sensing to Physiological Insight

RFCARDIA uses contact-free RF sensing and embedded AI to capture tiny thoracic micro-movements linked to breathing and cardiac activity. The system is designed to operate passively, without camera, microphone or wearable device, and to progressively support HR/RR monitoring, SCG-like signal reconstruction and prioritized alerts under validation.

Contact-free physiological monitoring illustration

RF Micro-Movement Sensing

Contact-free RF sensing captures tiny thoracic movements linked to breathing and cardiac activity, without camera, microphone or wearable device.

Heart-Focused Signal Tracking

AI-assisted processing helps follow the most informative cardiac zone and extract cleaner cardio-respiratory trends from noisy real-world signals.

SCG-like Signal Reconstruction

Beyond HR and RR, RFCARDIA is consolidating contact-free reconstruction of cardio-mechanical signals inspired by seismocardiography.

Edge AI & Signal Quality

On-device intelligence supports signal-quality assessment, artefact rejection and alert prioritization, while limiting unnecessary data transfer.

OUR TEAM

Built by RF, Signal Processing, AI and Medical Experts

RFCARDIA brings together complementary expertise in RF sensing, weak-signal extraction, signal processing, embedded AI, software engineering and clinical framing to build a contact-free physiological monitoring solution.

Dr. Jules Garsault, PhD

Dr. Jules Garsault, PhD

CEO & RF Systems

Radar and RF telecom systems expert with a PhD from Université Grenoble Alpes, specialized in high-sensitivity receivers and weak-signal extraction. Inventor of the core RF technology transferred toward RFCARDIA, Jules leads the company’s strategy, partnerships, financing and first industrial deployment roadmap.

Dr. Ashkan Zaker, PhD
Dr. Ashkan Zaker, PhD, CTO and Signal Processing

Dr. Ashkan Zaker, PhD

CTO & Signal Processing

Signal-processing and instrumentation expert with a PhD from Université Toulouse III. Ashkan leads RFCARDIA’s technical development, including radar acquisition, vibration analysis and the reconstruction and validation of SCG-like cardio-mechanical signals from contact-free RF measurements.

Dr. Stéphan Cohen-Bacrie

Dr. Stéphan Cohen-Bacrie

Medical Expert & Clinical Data Interoperability

Medical doctor and biologist, former emergency physician at AP-HP Henri Mondor, with strong expertise in semantic interoperability of health data. He supports RFCARDIA’s clinical framing, including medical use cases, alert prioritization, data structuring, claim boundaries and preparation for future clinical validation.

Reza Shirvan, MSc

Reza Shirvan, MSc

CTO AI & Software

AI and data-engineering lead with more than 10 years of experience in predictive models, anomaly detection and industrial software deployment. Co-inventor of three patents, Reza drives RFCARDIA’s Edge AI architecture, turning radar biosignal algorithms into robust, scalable and privacy-conscious software.

CLINICAL PERSPECTIVES

Expert Feedback Supporting the Medical Need

RFCARDIA has been reviewed by healthcare professionals with experience in elderly care, emergency medicine, cardiology and digital health. Their feedback highlights the relevance of contact-free cardio-respiratory monitoring while helping us define responsible clinical use cases, alert boundaries and future validation priorities.

OUR ECOSYSTEM

Supported by Leading French Innovation Players

RFCARDIA is developing within the French deeptech and healthcare innovation ecosystem, supported by organizations contributing to innovation financing, acceleration, medical-sector visibility and market access.

Medicen Paris Region
Bpifrance
IoT Valley
La French Care
La French Care Adhérent 2026
CONTACT

Let’s Discuss Clinical, Industrial or Investment Opportunities

Whether you are a healthcare organization, research institution, industrial partner or investor, we would be pleased to discuss RFCARDIA’s contact-free monitoring technology, pilot opportunities and future clinical validation roadmap.

RFCardia SAS – 1000 l’Occitane, 31670 Labège, Toulouse, France 

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