Blood leakage detection during dialysis therapy based on fog computing with array photocell sensors and heteroassociative memory model

Abstract

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.

Keywords

• 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