Bionic Sensors LLC · Single-ring biosensing research

Intelligent sensing.
One ring.

Exploring the future of cardiac monitoring with ECG, PPG, supporting biosensors, on-device (AI) TinyML, and confidence-aware AI.

Three conceptual Cardio AI Rings with green normal ECG, yellow faster ECG with closer R-R intervals, and red chaotic ventricular-fibrillation-like illustrative waveform

Conceptual illustrations only. ECG traces are illustrative, not actual measurements. The Cardio AI Ring is a research prototype and is not validated to identify ventricular fibrillation or provide emergency monitoring.

01 / The platform

One wearable. Multiple sources of evidence.

ECG + PPG

Research into electrical and optical cardiac signals and their timing relationships.

(AI) TinyML + AI

Lightweight experimental on-device inference informs an evidence-aware decision engine.

Contextual sensing

Motion, temperature and EDA/GSR investigated as supporting measurements.

02 / Research direction

Built to measure uncertainty.

Rather than treating every sensor reading as reliable, our research investigates signal quality, personal baselines, additional measurement when evidence is insufficient, and conservative response logic.

Cardiac rhythm research

Initial priorities include AFib-like irregularity, fast and slow heart rates, and selected other rhythm patterns.

Engineering roadmap

From sensor bench tests and embedded software to miniaturization and structured validation.

Collaboration

Exploring engineering, research, semiconductor and manufacturing partnerships.

03 / Contact

Work with Bionic Sensors

For engineering, research and manufacturing inquiries.

[email protected]

Cardio AI Ring is an experimental research-stage concept. It is not clinically validated to diagnose or predict cardiac conditions, is not FDA-cleared, and must not be relied on for medical decisions or emergency monitoring.

AI / The advantage

Intelligence that checks its own evidence.

Our proposed architecture combines on-device (AI) TinyML, personalized physiological baselines, cross-sensor corroboration and explicit decision rules. When measurements are unreliable, it can withhold a conclusion rather than guess.

How AI decision-making works →
A wearable research platform

Designed for one ring. Built around multiple signals.

Conceptual imagery of the single-ring form factor and physiological monitoring.

Conceptual illustration of a person wearing a smart ring
Mobile companion app / Concept

From the ring to your phone, via Bluetooth.

A proposed companion app would connect to the Cardio AI Ring over Bluetooth Low Energy (BLE), display physiological measurements and ECG/PPG waveforms, and present clear, evidence-aware status indications.

Concept illustration of a smart ring connected wirelessly to a smartphone over Bluetooth

Three illustrative app screens

Three conceptual smartphone app screens showing Normal, Warning, and Emergency states with example heart-rate values and ECG and PPG waveform graphics

Concept screens only. Displayed measurements and waveforms are illustrative, not recorded patient data. Bluetooth connectivity, app features, alert thresholds, and classifications are proposed and have not been clinically validated. This product is not FDA-cleared and must not be relied upon for diagnosis or emergency monitoring.

Multimodal sensing / Research architecture

Five sensing categories. One intelligent platform.

The Cardio AI Ring research roadmap combines electrical and optical cardiac signals with physiological and motion context. Individual sensor modules are being evaluated; full integration and clinical performance remain unvalidated.

Individual sensor illustrations are conceptual and do not depict finalized production hardware or exact component packages.

Conceptual skin temperature sensorConceptual motion sensor and movement axesConceptual skin-conductance electrodesConceptual optical PPG sensing moduleConceptual ECG electronics and waveform
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01 / ECG

Electrical cardiac activity

Investigates heart rhythm and waveform features through an electrical sensing channel.

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02 / PPG

Optical pulse sensing

Observes blood-volume pulse patterns and offers complementary evidence to ECG.

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03 / EDA · GSR

Skin conductance

Explores electrodermal changes associated with autonomic arousal as contextual evidence.

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04 / MOTION

Movement and activity

Accelerometer and gyroscope signals help flag movement-related measurement artifacts.

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05 / TEMPERATURE

Skin temperature trends

Tracks temperature changes that may support longitudinal baseline interpretation.

ECG + PPG + EDA/GSR + Motion + Temperature
↓
Signal quality → Features → (AI) TinyML (advisory) → Rule-based decision engine
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Proposed Bluetooth smartphone app · Normal / Warning / Emergency · Insufficient evidence

Conceptual architecture only. Sensor capabilities, integrated operation, AI classification, and mobile alerts have not been clinically validated. The system is not intended for emergency monitoring.

Proposed cardiac status indicators

Clear indications, backed by evidence.

The Cardio AI Ring research design explores an easy-to-understand status system. Each proposed state reflects the decision engine's interpretation of available signals—not a medical diagnosis.

✓

Normal

Green · No current concern identified

Available, sufficiently reliable measurements do not meet the proposed thresholds for a concerning pattern. This does not guarantee that the wearer is healthy or rule out a cardiac condition.

!

Warning

Yellow · Potential concern

An unusual, sustained, or corroborated physiological pattern may warrant attention. The proposed app could prompt repeat measurement or recommend contacting a healthcare professional.

!

Emergency

Red · High concern

A proposed high-priority alert for patterns that may warrant urgent evaluation. This indication cannot confirm a medical emergency, and the experimental ring must never be relied on to detect or rule one out.

Blue · Insufficient evidence

When contact is poor, movement interferes, or signals disagree, the system may withhold a classification rather than make an unreliable judgment.

These are conceptual, unvalidated alert states. The Cardio AI Ring is not FDA-cleared and is not intended for diagnosis, treatment, or emergency monitoring. If someone has symptoms of a medical emergency, they should seek emergency assistance regardless of any device status.

Proposed on-ring alerts & mobile notifications

See it. Feel it. Receive it on your phone.

The Cardio AI Ring concept combines visible LED indicators, an optional vibration motor, and Bluetooth communication with a companion smartphone app to make proposed status changes easier to notice.

Green LED · Normal

Indicates that available measurements do not currently trigger the proposed concern rules. Not a guarantee of cardiac health.

Yellow LED · Warning

Indicates a potentially unusual or persistent pattern. The app could show an explanation and prompt a recheck or medical consultation.

Red LED · High concern

Proposed urgent-priority indication accompanied by a noticeable vibration pattern and smartphone alert, if supported and enabled. This is not a validated emergency detector.

Blue LED · Insufficient evidence

Indicates that contact, signal quality, or corroboration is inadequate for a reliable assessment. The app could ask the wearer to adjust the ring or repeat measurement.

Ring LED + vibrationLocal visual and tactile feedback
Bluetooth Low EnergyTransmit status to a paired smartphone
App notificationDisplay the alert and supporting measurements
Optional SMSPhone-based message to a chosen contact, subject to permissions and connectivity

Proposed emergency workflow: a high-concern event could trigger a red LED and vibration on the ring, followed by a notification in the connected phone app. With the user's explicit opt-in and appropriate phone messaging capabilities, the app could offer an SMS notification to a designated contact. The ring itself does not send SMS directly.

All LED, vibration, Bluetooth alert, and SMS behaviors are planned concepts, not verified product functions. SMS delivery requires compatible smartphone functionality, permissions, and network service; messages are not guaranteed. The experimental device is not intended for emergency monitoring or as a substitute for calling emergency services.

Intellectual property

Research backed by an evolving patent portfolio.

Explore reported provisional filings covering personalized physiological risk analysis, adaptive sensing, sensor reliability and evidence-aware decision systems.

Explore Patents →