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Dengue Dataset

Citation Author(s):
Mahmuda Rumi (Other)
Submitted by:
mahmuda mahmuda
Last updated:
DOI:
10.21227/0r5d-6g19
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Abstract

This paper presents a novel method for non-invasive, cost-effective, and convenient dengue (DNG) detection through smartphone-captured fingertip videos. The proposed method has utilized the ubiquitous technology of smartphones, specifically the camera and built-in light source, to capture photoplethysmog-raphy (PPG) signals for identifying DNG. This contrasts sharply with traditional needle-based methods. This study involves 170 participants, comprising 90 normal and 80 dengue-positive cases, each providing a 15-second video of their index finger                                                                                                       

Instructions:

fingertip video to frame extraction and RAW PPG signal