Search results for: NONINVASIVE DIAGNOSIS - Bridge of Knowledge

Search

Search results for: NONINVASIVE DIAGNOSIS

Filters

total: 9
filtered: 4

clear all filters


Chosen catalog filters

  • Category

  • Year

  • Options

clear Chosen catalog filters disabled

Search results for: NONINVASIVE DIAGNOSIS

  • Noninvasive method for rotor fault diagnosis in inverter fed induction motor drive

    Publication

    - Year 2013

    This article presents a proposal, simulation and experimental results of a noninvasive rotor fault diagnosis method for the inverter fed induction motor drive. Comparing to reported methods the proposed one does not require any load, rotor brake, slip, mechanical or electrical system physical modification e.g. machine disassembly and can be applied regardless the rotor speed measurement or estimation method.

  • Gold nanoparticles evaluation using functional optical coherence tomography

    Publication

    The main object of this research was to assess the ability to characterize the gold nanoparticles using optical modalities like optical coherence tomography. Since the nanoparticles, especially gold one, have been very attractive for medical diagnosis and treatment the amount of research activities have been growing rapidly. The nanoparticles designed for different applications like contrast agents or drugs delivery change the...

    Full text available to download

  • Machine Learning and Electronic Noses for Medical Diagnostics

    Publication

    The need for noninvasive, easy-to-use, and inexpensive methods for point-of-care diagnostics of a variety of ailments motivates researchers to develop methods for analyzing complex biological samples, in particular human breath, that could aid in screening and early diagnosis. There are hopes that electronic noses, that is, devices based on arrays of semiselective or nonselective chemical sensors, can fill this niche. Electronic...

    Full text to download in external service

  • Assessment of Electronic Sensing Techniques for the Rapid Identification of Alveolar Echinococcosis through Exhaled Breath Analysis

    Publication

    - SENSORS - Year 2020

    Here we present a proof-of-concept study showing the potential of a chemical gas sensors system to identify the patients with alveolar echinococcosis disease through exhaled breath analysis. The sensors system employed comprised an array of three commercial gas sensors and a custom gas sensor based on WO3 nanowires doped with gold nanoparticles, optimized for the measurement of common breath volatile organic compounds. The measurement...

    Full text available to download