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Smart polymeric temperature sensors – for biological systems

Abstract

dc:description.abstract

The damaged brain is vulnerable to increase in brain temperature after a severe head injury. Continuous monitoring of intracranial temperature depicts functionality essential to the treatment of brain injury Many innovations have been made in the biomedical industry relying on electronic implants in treating condition such as traumatic brain injury (TBI) or other cerebral diseases. Hence, a methodical and reliable way to measure the temperature is crucial to assess the patient’s situation. In this investigation, an analysis of various approaches to detect the change in the temperature due to resistance, current-voltage characteristics with respect to time has been evaluated. Also, studies describing various materials used in sensors, their working principles and the results anticipated in these discrete procedures are presented. These smart temperature sensors have provided the accuracy and the stability compared to earlier methods used to detect the change in brain temperature since temperature is one of the most important variables in brain monitoring.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Materials Science and Engineering - (M.S.)
Discipline thesis:degree_discipline
Committee for the Interdisciplinary Program in Materials Science and Engineering
Year
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sinha, Greenee Anilkumar
Contributors dc:contributor
  • N. M. Ravindra
  • S. Basuray
  • Michael Jaffe

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/29
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1028

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Sinha, Greenee Anilkumar. Smart polymeric temperature sensors – for biological systems. 2017. https://digitalcommons.njit.edu/theses/29