Related Experiment Video
Updated: Feb 13, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
Blood leakage detection during dialysis therapy based on fog computing with array photocell sensors and
Jian-Xing Wu1, Ping-Tzan Huang2, Chia-Hung Lin3,4
1Niche Biomedical LLC, California NanoSystems Institute at UCLA, Los Angeles 90095, CA, USA.
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.
Related Concept Videos
Dialysis
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
Dialysis
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Peritoneal Dialysis II: Peritoneal Dialysis Systems and Complications
Peritoneal Dialysis I: Introduction and Procedure
System of Memory

