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Proceedings ArticleDOI

mCOPD: mobile phone based lung function diagnosis and exercise system for COPD

TLDR
Besides enabling accurate COPD examinations at home, the mCOPD system also offers a video-game based guidance system for breathing exercises, which is a promising tool for remote medical treatment of COPD.
Abstract
COPD (Chronic Obstructive Pulmonary Disease) is a serious lung disease that causes difficulty in breathing. COPD patients require lung function examinations and perform breathing exercises on a regular basis in order to manage and be more aware of their health status. In this paper, we designed and developed a mobile-phone based system for lung function diagnosis, called mCOPD. Besides enabling accurate COPD examinations at home, the mCOPD system also offers a video-game based guidance system for breathing exercises. We evaluated mCOPD in controlled and uncontrolled environments with 40 subjects. The experimental results show that our system is a promising tool for remote medical treatment of COPD.

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Citations
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Proceedings ArticleDOI

MobSpiro: Mobile based spirometry for detecting COPD

TL;DR: A model is developed that allows the computation of the two critical parameters FVC and FEV1 by establishing a relationship between the frequency response of human exhalation recorded by mobile microphone and the actual flow rate, which are critical in diagnosing COPD.
Proceedings ArticleDOI

Automatic detection and classification of acoustic breathing cycles

TL;DR: This paper focuses on respiratory phase detection and classification without the help of the airflow measurements, and depends on advanced digital signal processing techniques to process the acoustic signal of respiration that was collected using a microphone placed in front of the subject's nose.
Journal ArticleDOI

Virtual reality for COPD rehabilitation: a technological perspective.

TL;DR: In this paper, a review of the state of the art, by searching the scientific and grey literature, regarding the use of VR for the rehabilitation of patients with chronic obstructive pulmonary disease, providing a technological perspective.
Patent

Sound-based spirometric devices, systems and methods

TL;DR: In this paper, a mobile device configured to generate expiratory flow-based pulmonary function data includes a microphone, a processor, and a data storage device, and the processor is operatively coupled with the microphone.
Proceedings ArticleDOI

AirFlow: designing immersive breathing training games for COPD

TL;DR: AirFlow as mentioned in this paper is a suite of interactive computer games to guide breathing exercises and promote learning for chronic obstructive pulmonary disease (COPD), which refers to a collection of lung diseases that result in breathing difficulties.
References
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Journal ArticleDOI

Evidence-Based Health Policy--Lessons from the Global Burden of Disease Study

TL;DR: The study, which includes projections of the burden through the year 2020, uses the disability-adjusted life year as a composite measure of years of life lost due to premature mortality and years lived with disability.
Journal ArticleDOI

Prognosis in chronic obstructive pulmonary disease.

TL;DR: Patients with low initial values of FEV1 showed relatively little further decline, probably indicating a survivor effect, and mortality in the present series was less than that of a previous series, and the same as that of hypoxemic patients with COPD who received continuous home O2 therapy.
Proceedings ArticleDOI

SpiroSmart: using a microphone to measure lung function on a mobile phone

TL;DR: SpiroSmart, a low-cost mobile phone application that performs spirometry sensing using the built-in microphone, is presented and it is shown that pulmonologists can use SpiroSmart to diagnose varying degrees of obstructive lung ailments.
Journal ArticleDOI

eCushion: A Textile Pressure Sensor Array Design and Calibration for Sitting Posture Analysis

TL;DR: A textile-based sensing system, called Smart Cushion, which analyzes the sitting posture of human being accurately and non-invasively and shows that the recognition rate of the system is in excess of 85.9%.
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