Fingertip Video Dataset of HB Estimation (Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia)

This dataset comprises 1-minute fingertip video recordings collected from 150 anemic patients, ranging from 6 months to 32 years of age, with hemoglobin levels between 4.3 gm/dL and 12.4 gm/dL. The videos were recorded using a smartphone’s camera and flashlight, designed to capture PPG (Photoplethysmography) signals, which are essential for non-invasive hemoglobin level estimation. Key Features:

Size: 150 videos (1-minute each) Age Range: 6 months to 32 years Hemoglobin Levels: 4.3 gm/dL - 12.4 gm/dL Format: MP4 video files Applications: Non-invasive anemia diagnosis, PPG signal analysis, deep learning-based medical diagnostics.

Please cite our work as: Sabir, H., Khan, K.U., Ishaq, O., Alazeb, A., Aljuaid, H., Algarni, A., & Park, J. (2024). Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia Using ResNet-18 Classifier. IEEE Access. DOI: 10.1109/ACCESS.2024.3398353