Blood leakage detection during dialysis therapy based on fog computing with array photocell sensors and heteroassociative memory model
| Autor: | Jian-Xing Wu, Ping-Tzan Huang, Chia-Hung Lin, Chien-Ming Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
blood
patient treatment distributed processing photoelectric cells telemedicine wireless sensor networks patient monitoring bio-optics blood leakage detection dialysis therapy fog computing array photocell sensors heteroassociative memory model blood loss healthcare givers patients adult blood volume morbidities mortality HAM model virtual alarm unit electricity changes end-sensing units remote monitor devices cloud computing wavelength 500 nm to 700 nm Medical technology R855-855.5 |
| Zdroj: | Healthcare Technology Letters (2018) |
| Druh dokumentu: | article |
| ISSN: | 2053-3713 |
| DOI: | 10.1049/htl.2017.0091 |
| Popis: | Blood leakage and blood loss are serious life-threatening complications occurring during dialysis therapy. These events have been of concerns to both healthcare givers and patients. More than 40% of adult blood volume can be lost in just a few minutes, resulting in morbidities and mortality. The authors intend to propose the design of a warning tool for the detection of blood leakage/blood loss during dialysis therapy based on fog computing with an array of photocell sensors and heteroassociative memory (HAM) model. Photocell sensors are arranged in an array on a flexible substrate to detect blood leakage via the resistance changes with illumination in the visible spectrum of 500–700 nm. The HAM model is implemented to design a virtual alarm unit using electricity changes in an embedded system. The proposed warning tool can indicate the risk level in both end-sensing units and remote monitor devices via a wireless network and fog/cloud computing. The animal experimental results (pig blood) will demonstrate the feasibility. |
| Databáze: | Directory of Open Access Journals |
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