Measure lung function with a smartphone

By providing a complete in-app experience to measure lung function, we enable remote respiratory care at a lower cost and without the logistical and economic burden of distributing separate devices.

What’s wrong with the current approaches?

Digital peak flow meters and portable spirometers encounter several limitations. Accuracy may be affected by calibration and user technique, leading to misleading readings. Connectivity issues, like Bluetooth pairing problems, can disrupt data transmission. Reliance on battery power poses a risk of malfunction if not charged. They require of disposable mouthpieces, adding to costs and environmental impact. Distribution can be limited, especially in remote areas.

Our solution: the lung score

How does it work?

To perform our Lung Check, patients just need to breathe towards their smartphones. The test then provides a numeric result, the Lung Score, reflecting the change in lung function compared to the patient’s baseline. This enables patients and healthcare providers to accurately track disease progression, especially in respiratory diseases like asthma or COPD.

The technology behind

Behind the Lung Check, our technology detects and analyses breathing sounds with Artificial Intelligence. We use acoustic analysis to detect vocal biomarkers that indicate changes in lung health.

Why respiratory sounds?

We quantify respiratory events based on tasks that are well accepted by the patients, error-tolerant by design, and can be used remotely. We can rely on acoustic modelling of the respiratory tract, and on a solid basis for mapping changes in breathing sounds to changes in physiology/pathology.

The performance​

Our clinical study has demonstrated an 85% correlation between the variation in our Lung Score and the standard healthcare measurement (variation in FEV1, a spirometry parameter).

Want to know more?

Contact us to receive the white paper with more information about our technology. It includes the
results of our clinical study on vocal biomarkers for monitoring asthma.