Project Brief
This project is based on the design and implementation of a wireless digital stethoscope to acquire the heart sound, ECG and PPG, which can perform automatic disease diagnosis of the patient using the state-of-the-art deep learning techniques. The proposed device uses sustainable energy and will be portable. It will act as a plug-and-play tool, which will be available to assist doctors in performing real-time disease diagnosis and analysis.
By using data storage along with the corresponding predictions by the proposed scheme and recording the respective patients’ history, a nationwide repository can be established, which could be extremely helpful in post-analysis for a large population of patients. State-of-the-art deep learning techniques are used for time series analysis, which can be employed to extract useful information from this data. This information can then be used by Pakistani healthcare providers and research-oriented health institutes to take necessary measures to minimize the occurrence of such diseases
|