Automatic Identification of Respiratory Diseases from Stethoscope Lung Sound Signals Using Machine Learning Classifiers

Pulmonary abnormalities encompass various lethal diseases. Chronic obstructive pulmonary disease (COPD) and pneumonia are treatable pulmonic illnesses with early diagnosis and proper prevention. Pneumonia is a pulmonary abnormality that can be caused by viruses, bacteria, or fungi. COPD subjects are

2025-06-28 16:25:26 - Adil Khan

Project Title

Automatic Identification of Respiratory Diseases from Stethoscope Lung Sound Signals Using Machine Learning Classifiers

Project Area of Specialization Biomedical EngineeringProject Summary

Pulmonary abnormalities encompass various lethal diseases. Chronic obstructive pulmonary disease (COPD) and pneumonia are treatable pulmonic illnesses with early diagnosis and proper prevention. Pneumonia is a pulmonary abnormality that can be caused by viruses, bacteria, or fungi. COPD subjects are also vulnerable to a high risk of pneumonia. The subjects who develop pneumonia are more likely to die. In this project, we will design a system for the detection of various pulmonary diseases using machine learning techniques.

Project Objectives

1-Algorithm Design & Testing on the Publically available authentic database.

2- Algorithm Implementation on the self-collected database.

3- Prototype Hardware Design.

Project Implementation Method

The use of eSteth for signal collection & then for the hardware we use the raspberry pi. Firstly we will implement all on the MATLAB & then for hardware we will go with Python Language. 

Benefits of the Project

The project can be used in the biomedical field for the identification & classification of respiratory diseases. The FYP hardware like eSteth and Raspberry Pi will be helpful for biomedical students in their Signal Processing Lab.

Technical Details of Final Deliverable

Raspberry Pi  3B+ =20,000/-

eSteth Lite-Digital Stethoscope=15,000/-

Touch LCD, HDMI Cables, Keyboard & Mouse = 20,000/-

Total Budget= 55,000/-

Final Deliverable of the Project Hardware SystemCore Industry HealthOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable 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) 65000
Raspberry Pi 3B+ Equipment12000020000
eSteth Equipment11500015000
LCD Touch Screen Equipment12500025000
HDMI Cables, Charger, SD Card, SD card Reader, Sound Card and others Miscellaneous 150005000

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