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Sharifi, R. and Langari, R. (2016) Nonlinear Sensor Fault Diagnosis Using Mixture of Probabilistic PCA Models. Mechanical Systems and Signal Processing, 85, 638-650.

has been cited by the following article:

  • TITLE: Intelligent Bio-Detector

    AUTHORS: Sabr Ahmed

    KEYWORDS: Bio-Detector, Biosensors, Biomedical, Hospital’s Devices, Biotechnology, Biomedical Engineering

    JOURNAL NAME: Open Journal of Applied Sciences, Vol.6 No.13, December 28, 2016

    ABSTRACT: The objective of this document is to describe the design and implementation of an intelligent biomedical system. The system consists of an array of multiple sensors. The sensors are connected to the Arduino Uno device to allow data capture and processing. The captured signals from the sensors are then digitized by the microcontroller. The data from the microcontroller are accessible via two different portals: the LCD display and the LabVIEW graphical user interface. The microcontroller is also equipped with a GSM module to send the alert message to the user upon occurrence of events that simulate abnormal activity in the biological parameters of the user.