ECG Classification Model Development ON RASPBERY PI 4 1gb
Budget: ₹1,500 – ₹12,500 INR
I need a computer vision model to analyze ECG images. The model should identify the ECG area in the image and classify the waveform as normal or abnormal.
THIS MODEL IS TO BE RUN ON A RASPBERRY PI 4 1gb
Attachment contains depth requirement.
Requirements:
- Input: ECG in video or image frame format (JPEG, PNG, TIFF).
- Output: Text description (Normal/Abnormal) with reason (sub classify)
Tasks:
- Acquire labeled ECG data from open sources or from listed images of monitors.
We
- Develop and train the classification model.
Ideal Skills:
- Expertise in computer vision and image processing.
- Experience with model training and data acquisition.
- Familiarity with medical imaging and ECG interpretation is a plus.
IMAGE EXAMPLE - https://www.shutterstock.com/image-photo/ekg-monitor-icu-unit-show-waves-214787821
THIS MODEL IS TO BE RUN ON A RASPBERRY PI 4 1gb
Attachment contains depth requirement.
Requirements:
- Input: ECG in video or image frame format (JPEG, PNG, TIFF).
- Output: Text description (Normal/Abnormal) with reason (sub classify)
Tasks:
- Acquire labeled ECG data from open sources or from listed images of monitors.
We
- Develop and train the classification model.
Ideal Skills:
- Expertise in computer vision and image processing.
- Experience with model training and data acquisition.
- Familiarity with medical imaging and ECG interpretation is a plus.
IMAGE EXAMPLE - https://www.shutterstock.com/image-photo/ekg-monitor-icu-unit-show-waves-214787821