Motion-robust readings

Physiological monitoring during movement is challenging, as motion introduces noise and artefacts that degrade signal quality. Reliable heart rate tracking requires robust signal processing capable of separating true physiological signals from motion-related interference.

OPM applies advanced signal processing to maintain accurate heart rate measurement during movement.

Performance is validated during walking and running, with heart rate tracking assessed across multiple treadmill speeds. Measurements are compared against ECG reference data using ARMS, demonstrating accurate heart rate monitoring during motion and exceeding established accuracy requirements for reflectance-based wearable devices in controlled testing conditions.

Robustness

Maintains signal quality during movement

Accuracy

Delivers reliable heart rate tracking

Filtering

Separates physiological signal from noise

Validation

Verified against ECG reference data

Download tech sheet

Access the detailed validation protocols and signal processing specifications.

Core innovations

[ 1.0 ]

3D optical system

OPM uses a three-dimensional, multispectral optical architecture to interrogate tissue volume, improving vessel interaction, signal quality and robustness beyond traditional point-based sensing.
[ 2.0 ]

Tissue-aware light modelling

OPM applies tissue-aware light modelling to maintain pulsatile signal quality and measurement accuracy across skin tones, wavelengths and physiological conditions.
[ 3.0 ]

AI-powered adaptive Illumination

Machine learning continuously fine-tunes light intensity and wavelength, optimising signal quality in real-time clinical conditions.
[ 4.0 ]

Motion-robust readings

PM maintains accurate heart rate measurement during movement by filtering motion artefacts and noise, delivering reliable readings during walking and running.
[ 5.0 ]

High-definition pulsatile wave

OPM preserves high-definition pulsatile signals during oxygen desaturation, enabling reliable multi-parameter physiological measurement in real-world and clinically challenging conditions.