Name
Title | ||
|---|---|---|
A Novel Real-Time Non-Invasive Hemoglobin Level Detection Using Video Images From Smartphone Camera |
Abstract | ||
|---|---|---|
Hemoglobin level detection is necessary for evaluating health condition in the human. In the laboratory setting, it is detected by shining light through a small volume of blood and using a colorimetric electronic particle counting algorithm. This invasive process requires time, blood specimens, laboratory equipment, and facilities. There are also many studies on non-invasive hemoglobin level detection. Existing solutions are expensive and require buying additional devices. In this paper, we present a smartphone-based non-invasive hemoglobin detection method. It uses the video images collected from the fingertip of a person. We hypothesized that there is a significant relation between the fingertip mini-video images and the hemoglobin level by laboratory "gold standard." We also discussed other non-invasive methods and compared with our model. Finally, we described our findings and discussed future works. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/COMPSAC.2017.29 | 2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1 |
Field | DocType | ISSN |
Computer vision,Computer science,Feature extraction,Real-time computing,Artificial intelligence | Conference | 0730-3157 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. M. Tanimul Ahsan | 1 | 8 | 3.96 |
| Md. Osman Gani | 2 | 14 | 2.28 |
| Md. Kamrul Hasan | 3 | 217 | 42.29 |
| Sheikh Iqbal Ahamed | 4 | 646 | 88.67 |
| William C. Chu | 5 | 449 | 90.83 |
| Mohammad Adibuzzaman | 6 | 17 | 4.72 |
| Joshua Field | 7 | 0 | 0.34 |