| _version_ | 1866901748538408960 |
|---|---|
| author | Moshref, Hanen Barhoum, Tarek |
| author_facet | Moshref, Hanen Barhoum, Tarek |
| contents | <p>This project presents an innovative approach to extracting <strong>Photoplethysmogram (PPG)</strong> signals using a standard smartphone camera. The methodology relies on placing the finger over the camera while utilizing a red light source to detect changes in light absorption caused by blood flow variations (pulsatile volume). By analyzing these micro-changes in the video frames, the system captures the PPG waveform, which serves as a foundation for non-invasive health monitoring.</p> <p>The research highlights the potential of using this captured signal to predict critical health indicators beyond heart rate, such as <strong>Blood Glucose levels</strong>, <strong>Blood Pressure</strong>, and early signs of <strong>Chronic Kidney Disease (CKD)</strong>. This is achieved by analyzing vascular elasticity and flow patterns; for instance, identifying the lack of vessel flexibility in diabetic patients. This work demonstrates how ubiquitous mobile technology can be transformed into a powerful diagnostic tool for personalized healthcare.</p> <p><strong>Key Features:</strong></p> <ul> <li> <p><strong>Methodology:</strong> Camera-based transillumination and red-light absorption analysis.</p> </li> <li> <p><strong>Diagnostic Potential:</strong> Detecting vascular stiffness and flow abnormalities.</p> </li> <li> <p><strong>Applications:</strong> Early detection of Diabetes, Hypertension, and Renal Failure.</p> </li> </ul> <p> </p> <p>This work was conducted at Arab International University (AIU), Syria. <span>please visit the official repository of Arab International University (AIU):</span></p> <p><span><a href="https://www.aiu.edu.sy">https://www.aiu.edu.sy</a></span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19542776 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Non-Invasive Medical Analysis Using High-Resolution Smartphone PPG Extraction Moshref, Hanen Barhoum, Tarek Smartphone PPG Camera-based Health Monitoring Mobile Health (mHealth) on-invasive Diagnostics Digital Biomarkers Heart Rate Monitoring, PPG Signal Health Informatics Photoplethysmography Monitoring, Blood Glucose Prediction <p>This project presents an innovative approach to extracting <strong>Photoplethysmogram (PPG)</strong> signals using a standard smartphone camera. The methodology relies on placing the finger over the camera while utilizing a red light source to detect changes in light absorption caused by blood flow variations (pulsatile volume). By analyzing these micro-changes in the video frames, the system captures the PPG waveform, which serves as a foundation for non-invasive health monitoring.</p> <p>The research highlights the potential of using this captured signal to predict critical health indicators beyond heart rate, such as <strong>Blood Glucose levels</strong>, <strong>Blood Pressure</strong>, and early signs of <strong>Chronic Kidney Disease (CKD)</strong>. This is achieved by analyzing vascular elasticity and flow patterns; for instance, identifying the lack of vessel flexibility in diabetic patients. This work demonstrates how ubiquitous mobile technology can be transformed into a powerful diagnostic tool for personalized healthcare.</p> <p><strong>Key Features:</strong></p> <ul> <li> <p><strong>Methodology:</strong> Camera-based transillumination and red-light absorption analysis.</p> </li> <li> <p><strong>Diagnostic Potential:</strong> Detecting vascular stiffness and flow abnormalities.</p> </li> <li> <p><strong>Applications:</strong> Early detection of Diabetes, Hypertension, and Renal Failure.</p> </li> </ul> <p> </p> <p>This work was conducted at Arab International University (AIU), Syria. <span>please visit the official repository of Arab International University (AIU):</span></p> <p><span><a href="https://www.aiu.edu.sy">https://www.aiu.edu.sy</a></span></p> |
| title | Non-Invasive Medical Analysis Using High-Resolution Smartphone PPG Extraction |
| topic | Smartphone PPG Camera-based Health Monitoring Mobile Health (mHealth) on-invasive Diagnostics Digital Biomarkers Heart Rate Monitoring, PPG Signal Health Informatics Photoplethysmography Monitoring, Blood Glucose Prediction |
| url | https://doi.org/10.5281/zenodo.19542776 |