Bibliographic Details
| Title: |
Soft wireless sternal patch to detect systemic vasoconstriction using photoplethysmography |
| Authors: |
Nathan Zavanelli, Sung Hoon Lee, Matthew Guess, Woon-Hong Yeo |
| Source: |
iScience, Vol 26, Iss 3, Pp 106184- (2023) |
| Publisher Information: |
Elsevier, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Science |
| Subject Terms: |
Health sciences, Biological sciences, Biotechnology, Bioelectronics, Engineering, Science |
| More Details: |
Summary: Vasoconstriction is a crucial physiological process that serves as the body’s primary blood pressure regulation mechanism and a key marker of numerous harmful health conditions. The ability to detect vasoconstriction in real time would be crucial for detecting blood pressure, identifying sympathetic arousals, characterizing patient wellbeing, detecting sickle cell anemia attacks early, and identifying complications caused by hypertension medications. However, vasoconstriction manifests weakly in traditional photoplethysmogram (PPG) measurement locations, like the finger, toe, and ear. Here, we report a wireless, fully integrated, soft sternal patch to capture PPG signals from the sternum, an anatomical region that exhibits a robust vasoconstrictive response. With healthy controls, the device is highly capable of detecting vasoconstriction induced endogenously and exogenously. Furthermore, in overnight trials with patients with sleep apnea, the device shows a high agreement (r2 = 0.74) in vasoconstriction detection with a commercial system, demonstrating its potential use in portable, continuous, long-term vasoconstriction monitoring. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2589-0042 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2589004223002614; https://doaj.org/toc/2589-0042 |
| DOI: |
10.1016/j.isci.2023.106184 |
| Access URL: |
https://doaj.org/article/71981aadeb1e4bd785a17bc2dd40bd72 |
| Accession Number: |
edsdoj.71981aadeb1e4bd785a17bc2dd40bd72 |
| Database: |
Directory of Open Access Journals |
