Development of an IoT system using ESP8266 for the detection of asthma triggering allergens in children

Author:

Villanueva Jason Alanya,Villa Danitza Yalli,Merlo Angel Bello,Huamanchahua Deyby,Rojo Carlos Coaquira

Publisher

IEEE

Reference20 articles.

1. Predicting asthmaattacks: effects of indoor pm concentrations on peak expiratory flowrates of asthmatic children;kim;IEEE Access,2019

2. Association of pm 2.5 concentration with health center outpatient visits for respiratory diseasesof children under 5 years old in lima, peru;cordova;Environmental Health,0

3. Wireless sensor network and web based information system for asthma trigger factors monitoring

4. Remote monitoring of children withasthma, being treated in multidisciplinary hospital;namazova-baranova;International Conference on Biomedical Engineering and ComputationalTechnologies (SIBIRCON),2015

5. Definition of a online to offline (O2O) system to support the individualized management and treatment strategies for overall asthma control

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1. An IoT-Based Asthma Intensity Prediction Using Classification Models;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Developing Smart IoT Systems to Control Peak Demand Energy Using ESP8266 for Split Type Air Conditioners;2024 12th International Electrical Engineering Congress (iEECON);2024-03-06

3. A Non-Invasive Great Exhale Breath Analysis Tool to Detect Respiratory Illness Using IOMT;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

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