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Fast Pulmonary Function Test Using Onboard Smartphone Equipment Alexander Borodin, Anton Shabaev, Irina Shabalina Petrozavodsk State University Department of Computer Science This project is supported by grant KA432 of Karelia ENPI - joint


  1. Fast Pulmonary Function Test Using Onboard Smartphone Equipment Alexander Borodin, Anton Shabaev, Irina Shabalina Petrozavodsk State University Department of Computer Science This project is supported by grant KA432 of Karelia ENPI - joint program of the European Union, Russian Federation and the Republic of Finland 16 th FRUCT conference October 27–31, Oulu, Finland Alexander Borodin CardiaCare FRUCT 14 1 / 8

  2. Respiratory diseases Facts by WHO Approx. 64 million people Risk factors suffered from COPD (and 235 Air pollution million from asthma) Occupational dusts and worldwide in 2004 chemicals Approx. 5% of deaths every Tobacco use year Unhealthy diet Not curable but treatment can Physical inactivity slow the progress of the disease Alexander Borodin CardiaCare FRUCT 14 2 / 8

  3. Pulmonary Function Tests Spirometry Peak flowmetry Body plethysmography Nitrogen washout Ergospirometry Alexander Borodin CardiaCare FRUCT 14 3 / 8

  4. Spirometry Test Noninvasive diagnostic for screening of pulmonary function What is the size of lung volume which can be inspired or expired What is the time it takes to exhale the volume and what is the flow rate? Alexander Borodin CardiaCare FRUCT 14 4 / 8

  5. Testing: VF ECG record Algorithm 1 Diagnosing obstruction or restrictive/mixed abnormalities if FVC ≥ LLN then if FEV 1 / FVC ≤ LLN & then diagnose normal case else diagnose obstruction end if if FEV 1 / FVC ≥ 0.55 & FVC < 85% then diagnose restrictive or mixed abnormalities else diagnose obstruction end if end if 1 1 from "Diagnostic Spirometry in Primary Care. Proposed standards for general practice...-by M. L. Levy et. al. Alexander Borodin CardiaCare FRUCT 14 5 / 8

  6. Lung Capacity Forced volume capacity 2 FVC m = 0 . 1524 × height − 0 . 0214 × age − 4 . 6500 FVC f = 0 . 1247 × height − 0 . 0216 × age − 3 . 5900 Forced expiratory volume after one second FEV 1 m = 0 . 1052 × height − 0 . 0244 × a − 2 . 1900 FEV 1 f = 0 . 0869 × height − 0 . 0255 × a − 1 . 5780 2 from "Lung Capacity Estimation Through Acoustic Signal of Breath" by Ahmad Abushakra and Miad Faezipour Alexander Borodin CardiaCare FRUCT 14 6 / 8

  7. Estimated Lung Capacity Forced volume capacity assessment based on breath sound analysis 3 FVC m = 15 e 100 ( 0 . 1524 × height − 0 . 0214 × age − 4 . 65 ) × t FVC f = 15 e 100 ( 0 . 1247 × height − 0 . 0216 × age − 3 . 5900 ) × t Here t is the average time duration of exhale and inhale and e is the signal energy. 3 from "Lung Capacity Estimation Through Acoustic Signal of Breath" by Ahmad Abushakra and Miad Faezipour Alexander Borodin CardiaCare FRUCT 14 7 / 8

  8. Current Results and Future Plans Experiments with breath sound analysis acquired from laptop microphones have been done. UI for mobile was designed to help a patient to articulate for better sound produce. Wide experiments with colleagues from department of pulmonary deseases Android app is planned to be developed. Alexander Borodin CardiaCare FRUCT 14 8 / 8

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