Hello everyone, welcome to our team’s blog! We are excited to collaborate with Aventusoft on the ECG Deep Learning project, which sits at the crossroads of artificial intelligence and healthcare technology. Our main goal is to create deep learning algorithms that can precisely analyze electrocardiogram (ECG) data, focusing on detecting key landmarks, classifying diseases, and deploying solutions on both cloud and mobile platforms. This groundbreaking work aims to enhance digital health tools and aid in the early detection and diagnosis of heart conditions like heart failure.
This week, we focused on understanding the project’s scope by carefully reviewing Aventusoft’s Statement of Work (SOW). The SOW highlights our objectives: building highly accurate models to identify important landmarks across different ECG patterns and developing strong disease classification algorithms. These models will be deployed as efficient cloud services and lightweight mobile apps, all while complying with FDA design control documentation standards to prepare for future regulatory approval.
To get ready technically, we held internal discussions with Professor Kejun Huang. Looking ahead, our next step is to have our first meeting with Aventusoft’s liaison engineers. This meeting will be essential to clarify details about dataset access, structure, and project priorities. We also plan to finalize our choice of software tools and create a detailed checklist of dataset requirements. Meanwhile, we will begin outlining our data preprocessing strategy and continue refining the framework for FDA-required documentation. Additionally, we are working on scheduling regular weekly meetings with our industry mentors to maintain smooth communication throughout the project.
At this point, our team is on track and motivated, with clear next steps outlined. Once we receive the ECG dataset and detailed project guidance from Aventusoft, we will proceed with data processing and developing baseline models. We look forward to sharing updates as we advance in this important project!