Fog Computing Based Smart Asthma Monitoring System
Project Summary: Asthma is a widely spreading disease in Asia mainly because of massive environmental pollution. Asthma is such a disease which require immediate action and quick medication. In this regard, there is an uttermost requirement of such device which can d
2025-06-28 16:32:38 - Adil Khan
Fog Computing Based Smart Asthma Monitoring System
Project Area of Specialization Internet of ThingsProject Summary FOG COMPUTING BASED SMART ASTHMA MONITORING SYSTEMProject Summary:
Asthma is a widely spreading disease in Asia mainly because of massive environmental pollution. Asthma is such a disease which require immediate action and quick medication.
In this regard, there is an uttermost requirement of such device which can detect all asthma triggers before the situation worsens. Automated devices do exist which monitors patient's internal body factors to identify the attack. They may be helpful but the point here is that asthma is triggred mainly because of environmental factors. So there is a need to develop such a device which monitors environemnt along with internal body conditions to make asthma detectable before it goes adverse.
We are developing a smart asthma monitoring system which detects environmental conditons like combustible gases smokes, dust and humidity. The internal body factors include pulse oximetry. Whenever any of the factors go far from the given threshold values, an emergency alarm/message is triggered to conerned people so that measures could be taken to minimize the danger. This is done through fog computing node. The rest of data is sent to cloud for future studies and analysis.
Project ObjectivesObjectives:
The main objective of this project is to facilitate asthma patients, majorly the older ones who cannot take immediate actions. Once the attack is triggered, there are not many options left to treat the patient except for getting the inhalers promptly or to go the hospital. To avoid this, we have worked on a system which informs the patients and the concerned ones right when changes are starting to occur. A margin of about fifteen minutes can be given to patient to take the measures before the situation goes regrettable.
Project Implementation MethodFollowing methodology is adopted for this project.
- Existing asthma monitoring systems are studied to figure out the loopholes.
- A survay is conducted in which asthma triggers and attack conditions of various patients are interpreted,
- Various hospitals are visited to monitor the condition of patients. Then a data set of 15 patients of various ages is gathered. The gathered data includes results of normal ranges and the ranges on the attack time for pulse oximetry and blood pressure.
- Arduino Uno is used to develop system prototype. The senors include MQ-9(Combustable gases detector), Optical Dust Sensor and Heart Rate Monitoring Sensor.
- For data transmission using fog computing node, we have used a simulator. The system architecture is defined and implemented on the simulator to analyze the results.
- Publishing a research paper on this topic is also in the bucket list of project.
- Asthma can be detected before it creates a wreck havoc.
- Different conditions can be monitored according to patient's preferences and asthma tirggers.
- The system will be a cost effective solution.
- Patient will not require to rush to th hospital mostly as it could be controlled before time.
Prototype:
The system protype includes an integrated circuit of all senosrs for real time monitoring. The platform used for results is Arduino CC which shows real time output of sensors digitally and through a graph.
Simulation:
The already gathered values are used to analyze and generate alarm and message in serious conditions using fog computing node on a simulator. The simulator used will be CloudSim or ThingsBoard.
Final Deliverable of the Project HW/SW integrated systemType of Industry Health Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 10000 | |||
| Arduino Starter Kit | Equipment | 1 | 3500 | 3500 |
| Arduino Optical Dust Sensor | Equipment | 1 | 650 | 650 |
| Arduino MQ-9 Sensor | Equipment | 1 | 250 | 250 |
| Arduino Humidity Sensor | Equipment | 1 | 120 | 120 |
| Arduino Pulse Sensor | Equipment | 1 | 250 | 250 |
| ESP 8266 WiFi Module | Miscellaneous | 1 | 230 | 230 |
| HC 05 Bluetooth Module | Miscellaneous | 1 | 370 | 370 |
| Data Collection and Surveys(Travelling) | Miscellaneous | 3 | 1500 | 4500 |
| Equipment Delivery Charges | Miscellaneous | 1 | 130 | 130 |