RF Micro-Movement Sensing
Contact-free RF sensing captures tiny thoracic movements linked to breathing and cardiac activity, without camera, microphone or wearable device.
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.
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 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 RF sensing captures tiny thoracic movements linked to breathing and cardiac activity, without camera, microphone or wearable device.
AI-assisted processing helps follow the most informative cardiac zone and extract cleaner cardio-respiratory trends from noisy real-world signals.
Beyond HR and RR, RFCARDIA is consolidating contact-free reconstruction of cardio-mechanical signals inspired by seismocardiography.
On-device intelligence supports signal-quality assessment, artefact rejection and alert prioritization, while limiting unnecessary data transfer.
RFCARDIA combines contact-free RF sensing, signal processing and embedded AI to monitor cardio-respiratory activity without camera, microphone or wearable device. It is designed to reduce clinical blind spots and support care teams with prioritized physiological alerts under validation.
Cardio-respiratory monitoring without wearable devices, buttons, charging or patient action. Designed to preserve comfort and dignity while reducing blind spots between human checks.
The system does not capture images or sound. It uses RF micro-movement sensing to monitor physiological activity while protecting privacy and minimizing sensitive data.
Continuous physiological trends can help identify abnormal situations earlier, support triage and guide care teams toward the patients who may need attention first.
RFCARDIA aims to go beyond basic heart and respiratory rates by consolidating SCG-like cardio-mechanical signal reconstruction, opening the way to deeper physiological monitoring under clinical validation.
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.
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.
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.
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.
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.
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.
Traditional fall-detection alarms require elderly patients to press a button, which they often cannot do after a fall. A continuous, contactless system like RFCARDIA is invaluable — instantly alerting caregivers to both falls and dangerous cardiac anomalies.
"Continuous and contactless monitoring is highly relevant, particularly for elderly patients living alone. If RFCARDIA remains affordable and integrates a reliable alert system, it could stand out as a real alternative or complement to smartwatches. The potential is undeniable, provided regulatory validation is achieved.”
"Imaging provides far more relevant information than simple electrical recordings. Echography is the gold standard, but it is costly and operator-dependent. RFCARDIA has the unique potential to bring echo-like insights with the ease of ECG, and without any physical contact. If radar data can be transformed into 2D or 3D imaging, it would be a revolution in cardiology.”
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.
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.
Device currently for research & wellbeing use only; not yet validated as a medical device.
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