Improving Survival from Cardiac Arrest
AI-powered CPR training with real-time feedback. Personalised training. Smarter outcomes.
Compression Button — Close-up of the Heart Meter compression button: a red circular puck with an embossed heart symbol, shown from above. This is the primary interaction point where a rescuer presses during CPR.
Full Device Reveal — The complete Heart Meter device is shown. A white and grey ergonomic bridge-shaped body with the brand name and heart logo on the upper surface. The red compression puck sits on top, connected through the body by a red piston column. The right end features a contoured positioning element.
Spring-Loaded Sensor — The red cylindrical piston component is shown isolated, then in an exploded view. The heart-embossed button cap separates to reveal a coiled metal spring and a small circular PCB (printed circuit board) at the base. This board contains the accelerometer, force sensor, Bluetooth module, and microcontroller that measure compression depth, rate, and recoil.
Assembled Device — The device is shown fully reassembled in side profile, complete and ready for use, with the red piston centrally mounted in the arch frame.
Internal Cutaway — A cross-section view slices the piston open to show the spring mechanism, the PCB at the base, and an animated light beam illustrating the active sensing pathway. This visualises how compression force is measured and data is captured in real-time.
Companion App and Live Metrics — A smartphone sits in a grey dock cradle for hands-free monitoring. The Heart Meter app displays live metrics during compressions: a timer, compression fraction gauge at 100%, depth indicators with coloured dots, a rate tracker, and a live waveform graph. Data streams from the device to the app in real-time via Bluetooth.
AI Posture Estimation — The app's Posture Estimation feature uses the phone camera and computer vision to analyse CPR form in real-time. A skeletal tracking overlay maps the rescuer's shoulders, arms, and elbows. Measured elbow angles are displayed, and corrective feedback banners appear: "Lock your elbows," "Center over hands," "Straighten your arms," and "Too much lean, sit upright." Multiple users of different body types are shown, demonstrating universal applicability. Metrics include compression count, rate (cpm), and a posture score.
Complete Ecosystem — A hero shot shows the full product ecosystem together: a hand holding the iPhone with the Heart Meter app (live metrics visible), the Heart Meter person-and-heart logo, and the physical device. The app displays compression fraction, depth, rate, and waveform data during an active session.
Cloud Platform and Global Network — Session data uploads to the cloud, visualised by a cloud icon with an increasing counter. A rotating globe shows Heart Meter devices, apps, and users connected worldwide via orbital lines. The counter climbs from 113 to 209, illustrating the scale of the connected global CPR training network.
Cardiac arrest survival rates are critically low
Of approximately 30,000 out-of-hospital cardiac arrest victims in Australia survive each year.
In-hospital cardiac arrest patients die within 10 minutes without effective intervention.
CPR skills decay within weeks of training, making regular practice essential.
Of clinicians can deliver high-quality CPR, even with annual training programmes.
The Resuscitation Systems ecosystem
High-Quality CPR (HQ-CPR) can improve survival timing by four times. Our platform makes HQ-CPR training personalised, measurable, and accessible.
Real-Time Feedback
HQ-CPR delivery with real-time feedback using computer vision technology to guide performance.
RS Training App
Records every training session and uploads results to the cloud platform for tracking and analysis.
Personalisation Engine
Analyses individual performance and designs the next training session tailored to each learner.
Trainer Platform
Assess groups, deliver remote training, and integrate with professional competency records.
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