Peak Flow Meter V2
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À propos de l'application
This mobile app is designed to automatically record and store the peak flow readings (Peak Expiratory Flow Rate) from the Cipla peak flow meter (also known as Breath-o-Meter):
https://www.ciplamed.com/content/breathe-o-meter-0
This mobile app enables the automatic recording of the peak flow meter reading without the need for bluetooth or batteries. This mobile app is intended for use by community health workers or patients in low-resource areas, where more electronic peak flow meters are not available.
This mobile app requires the use of a printed sticker that should be applied to the peak flow meter. The sticker design can be requested directly from the MIT Mobile Technology Lab (www.mobiletechnologylab.org)
Using a computer vision tracking algorithm, the mobile app automatically records the reading and also provides visual feedback to the user.
Further details can be found in our published paper describing this mobile application:
Chamberlain, D., Jimenez-Galindo, A., Fletcher, R.R. and Kodgule, R., 2016, June. Applying augmented reality to enable automated and low-cost data capture from medical devices. InProceedings of the Eighth International Conference on Information and Communication Technologies and Development (pp. 1-4).
which can be downloaded from here:
https://dl.acm.org/doi/pdf/10.1145/2909609.2909626?casa_token=uC9DhWQ2IkEAAAAA%3AlRo8pyiQvqf-J_M0ZXDTm62kPro6568pnMm5oxBx7AttixGUFg03MUguBylH2IakrrjQG4VHkLHPiw
https://www.ciplamed.com/content/breathe-o-meter-0
This mobile app enables the automatic recording of the peak flow meter reading without the need for bluetooth or batteries. This mobile app is intended for use by community health workers or patients in low-resource areas, where more electronic peak flow meters are not available.
This mobile app requires the use of a printed sticker that should be applied to the peak flow meter. The sticker design can be requested directly from the MIT Mobile Technology Lab (www.mobiletechnologylab.org)
Using a computer vision tracking algorithm, the mobile app automatically records the reading and also provides visual feedback to the user.
Further details can be found in our published paper describing this mobile application:
Chamberlain, D., Jimenez-Galindo, A., Fletcher, R.R. and Kodgule, R., 2016, June. Applying augmented reality to enable automated and low-cost data capture from medical devices. InProceedings of the Eighth International Conference on Information and Communication Technologies and Development (pp. 1-4).
which can be downloaded from here:
https://dl.acm.org/doi/pdf/10.1145/2909609.2909626?casa_token=uC9DhWQ2IkEAAAAA%3AlRo8pyiQvqf-J_M0ZXDTm62kPro6568pnMm5oxBx7AttixGUFg03MUguBylH2IakrrjQG4VHkLHPiw
Date de mise à jour
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Cette appli peut recueillir ces types de données
Position, Informations personnelles, Activité dans l'application
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Assistance de l'appli
À propos du développeur
Richard Ribon Fletcher
fletcher@media.mit.edu
United States
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