Monitor and track your COPD and asthma using your smartphone

The Global Asthma Report 2018 estimates that asthma affects around 339 million people globally, while The Global Burden of Disease Study reports that there were 251 million cases of chronic obstructive pulmonary disease (COPD) in 2016. Asthma and COPD cannot be cured; however appropriate management can help relieve symptoms, improve quality of life and reduce the risk of death.

ResApp has developed smartphone-based machine learning algorithms that have been found in a prospective clinical study to accurately identify acute exacerbations in patients with asthma or COPD. ResApp also has ongoing clinical programs investigating the use of these techniques to measure exacerbation severity and lung function.

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Scientific Presentations & Publications

Porter P, Claxton S, Brisbane J, Bear N, Wood J, Peltonen V, Della P, Purdie F, Smith C, Abeyratne U, Diagnosing Chronic Obstructive Airway Disease on a Smartphone Using Patient-Reported Symptoms and Cough Analysis: Diagnostic Accuracy Study, JMIR Formative Research 4(11), 2020.

Swarnkar V, Abeyratne U, Tan J, Ng TW, Brisbane J, Choveaux J, Porter P, Stratifying asthma severity in children using cough sound analytic technology, Journal of Asthma 1-10, 2019.

Claxton S, Porter, P, Brisbane J, Bear, N, Peltonen, V, Wood, J, Smith C, Purdie, F, Abeyratne U, Detection of Asthma Exacerbation in Adolescent and Adult Subjects with Chronic Asthma Using a Cough-Centred, Smartphone-Based Algorithm, TSANZSRS 2020 The Australia & New Zealand Society of Respiratory Science and The Thoracic Society of Australia and New Zealand (ANZSRS/TSANZ) Annual Scientific Meeting for Leaders in Lung Health & Respiratory Science, Melbourne, Australia, March 27-31, 2020

Porter P, Claxton S, Wood J, Peltonen V, Brisbane J, Purdie F, Smith C, Bear N, Abeyratne U, Diagnosis of Chronic Obstructive Pulmonary Disease (COPD) Exacerbations Using a Smartphone-Based, Cough Centred Algorithm, ERS 2019, October 1, 2019.

Sharan RV, Abeyratne UR, Swarnkar VR, Claxton S, Hukins C, Porter P, Predicting spirometry readings using cough sound features and regression, Physiological Measurement 39(9), 2018.

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© 2021 ResApp Health Limited. All rights reserved. US Patent No. 10,098,569, Australian Patent No. 2013239327, Japanese Patent No. 6,435,257, South Korean Patent No. 1020812410000 and Patents Pending. ResApp Health®, the ResApp Health logo and ResAppDx® are registered trademarks of ResApp Health Limited in the United States and other countries. ResAppDx is not available for sale in the United States.