HVS-3539. Advanced Spirometer with personalized respiratory and precision guidance.
₹8,000.00
Spirometers are used to measure lung capacity and the response of the lungs and chest during physical therapy. Current spirometers possible concerning business are high-priced. Due to this high cost, many physicians undertaking in underdeveloped countries like India, cannot produce Spirometry supplies. Thus, the growth of a low-cost trustworthy spirometer would admit these physicians to evaluate their patient’s pulmonary well-being. All these factors experienced to the growth of a device that addresses cost issues in addition to mechanics accuracy. A calculating located made smaller spirometer plan is Designed expected realized that would use a stable-state flow sensor.
Categories
ECE, EIE
Tags
Arduino uno, Flow sensor, NodeMCU
Description
Reviews
Description
Reviews
Spirometers are used to measure lung capacity and the response of the lungs and chest during physical therapy. Current spirometers possible concerning business are high-priced. Due to this high cost, many physicians undertaking in underdeveloped countries like India, cannot produce Spirometry supplies. Thus, the growth of a low-cost trustworthy spirometer would admit these physicians to evaluate their patient’s pulmonary well-being. All these factors experienced to the growth of a device that addresses cost issues in addition to mechanics accuracy. A calculating located made smaller spirometer plan is Designed expected realized that would use a stable-state flow sensor.
The main aim of this project is to design a smart spirometer which can detect the lung health using Arduino UNO. This project makes a use of flow sensor to detect the air flow. If the sensor data crosses the set limit, arduino will activate the Buzzer for alerts. LCD display is uses to display the breathing rate of lung. NodeMCU module is uses to monitor the data into the thingspeak cloud along with date and time. To achieve this task microcontroller loaded program written in embedded C language.
Objectives:
ï‚· Lung Health Monitoring: Develop a device capable of measuring and monitoring lung function using airflow data to detect potential respiratory issues.
ï‚· Flow Sensor Integration: Utilize a flow sensor to accurately measure airflow, ensuring reliable data collection for lung capacity and breathing rate analysis.
ï‚· Alert System: Implement an alert mechanism using a buzzer to notify users when airflow measurements exceed predefined thresholds, indicating potential health concerns.
ï‚· Data Display: Incorporate an LCD display to provide real-time feedback on breathing rate and lung health metrics, making the information easily accessible to users.
ï‚· Cloud Data Monitoring: Use NodeMCU to connect the spirometer to the ThingSpeak cloud platform for remote monitoring and data logging, allowing users to track their lung health over time.
ï‚· Embedded Programming: Write an efficient embedded C program for the Arduino UNO to manage sensor data acquisition, processing, and communication with other components.
ï‚· User-Friendly Design: Ensure the device is user-friendly, with clear instructions and an intuitive interface for easy operation and understanding of results.
ï‚· Data Logging and Analysis: Enable data logging on the cloud for long-term analysis and trend tracking, helping users and healthcare providers make informed decisions regarding lung health.
The major building blocks of this project are:
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Block diagram:
video:
- Adapter Power supply.
- Arduino UNO.
- NodeMCU.
- Flow sensor.
- LCD display.
- Buzzer.
- ARDUINO IDE compiler for Embedded C programming.
- Express SCH for Circuit design.
- Thing speak cloud technology.
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Block diagram:
video:














