Smartphone-based in vitro diagnostic technologies for personalized healthcare monitoring and management

Sandeep Kumar Vashist; A. G. Venkatesh; Roland Zengerle; Felix von Stetten; John H.T. Luong

doi:10.1049/PBHE001E_ch12

Smartphone-based in vitro diagnostic technologies for personalized healthcare monitoring and management

Sandeep Kumar Vashist
, A. G. Venkatesh
, Roland Zengerle
, Felix von Stetten
, John H.T. Luong

School of Chemistry

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

The SP-based devices with associated smart applications are being used for personalized general healthcare monitoring, notably analyses of blood glucose, weight, heart rate, etc., a major driving force in the creation of new enterprises such as iHealth LLC, Runtastic, AliveCor, GENTAG and Holomic LLC. The success of SP-based devices and smart applications together with improved diagnostic procedures will warrant further developments and applications of commercially-viable SP-IVD tools in the coming years.

Original language	English
Title of host publication	Nanobiosensors for Personalized and Onsite Biomedical Diagnosis
Publisher	Institution of Engineering and Technology
Pages	231-251
Number of pages	21
ISBN (Electronic)	9781849199513
ISBN (Print)	9781849199506
DOIs	https://doi.org/10.1049/PBHE001E_ch12
Publication status	Published - 1 Jan 2016

Keywords

Bioelectric potentials
Blood
Blood glucose analyses
Health care
Health care management
Health care monitoring
Heart rate analyses
Patient diagnosis
Patient monitoring
Smart application
Smart phones
Smartphone-based in vitro diagnostic technology
SP-based device
SP-IVD tool
Sugar
Weight analyses

Access to Document

10.1049/PBHE001E_ch12

Cite this

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title = "Smartphone-based in vitro diagnostic technologies for personalized healthcare monitoring and management",

abstract = "The SP-based devices with associated smart applications are being used for personalized general healthcare monitoring, notably analyses of blood glucose, weight, heart rate, etc., a major driving force in the creation of new enterprises such as iHealth LLC, Runtastic, AliveCor, GENTAG and Holomic LLC. The success of SP-based devices and smart applications together with improved diagnostic procedures will warrant further developments and applications of commercially-viable SP-IVD tools in the coming years.",

keywords = "Bioelectric potentials, Blood, Blood glucose analyses, Health care, Health care management, Health care monitoring, Heart rate analyses, Patient diagnosis, Patient monitoring, Smart application, Smart phones, Smartphone-based in vitro diagnostic technology, SP-based device, SP-IVD tool, Sugar, Weight analyses",

author = "Vashist, \{Sandeep Kumar\} and Venkatesh, \{A. G.\} and Roland Zengerle and \{von Stetten\}, Felix and Luong, \{John H.T.\}",

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doi = "10.1049/PBHE001E\_ch12",

language = "English",

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Smartphone-based in vitro diagnostic technologies for personalized healthcare monitoring and management. / Vashist, Sandeep Kumar; Venkatesh, A. G.; Zengerle, Roland et al.
Nanobiosensors for Personalized and Onsite Biomedical Diagnosis. Institution of Engineering and Technology, 2016. p. 231-251.

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

TY - CHAP

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AU - Vashist, Sandeep Kumar

AU - Venkatesh, A. G.

AU - Zengerle, Roland

AU - von Stetten, Felix

AU - Luong, John H.T.

N1 - Publisher Copyright: © The Institution of Engineering and Technology 2016.

PY - 2016/1/1

Y1 - 2016/1/1

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KW - Blood

KW - Blood glucose analyses

KW - Health care

KW - Health care management

KW - Health care monitoring

KW - Heart rate analyses

KW - Patient diagnosis

KW - Patient monitoring

KW - Smart application

KW - Smart phones

KW - Smartphone-based in vitro diagnostic technology

KW - SP-based device

KW - SP-IVD tool

KW - Sugar

KW - Weight analyses

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BT - Nanobiosensors for Personalized and Onsite Biomedical Diagnosis

PB - Institution of Engineering and Technology

ER -

Smartphone-based in vitro diagnostic technologies for personalized healthcare monitoring and management

Abstract

Keywords

Access to Document

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