Inkjet-printed wireless epidermal electronics

Matti Mäntysalo

doi:10.1109/USNC-URSI.2015.7303623

Inkjet-printed wireless epidermal electronics

Matti Mäntysalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

Quantified self-tools and eHealth services based on the Internet-of-Things (IoT) and big-data analyses have great business potential. Sensor nodes measure different physiological parameters and activities like movement, pressure wave, muscle activity, heart activity, body temperature, etc. These parameters are sent to a mobile device. A mobile application will give instant feedback and remedy actions based on user tailored algorithms. Such a solution can work e.g. as a personal health motivator. The data is then sent to cloud for storage and deeper analysis from where medical personnel can read them and analyze patient condition to result improved care. Such a scenario is presented in figure below.

Original language	English
Title of host publication	Radio Science Meeting (Joint with AP-S Symposium), 2015 USNC-URSI
Pages	339-339
Number of pages	1
DOIs	https://doi.org/10.1109/USNC-URSI.2015.7303623
Publication status	Published - 1 Jul 2015
Publication type	Not Eligible
Event	USNC-URSI National Radio Science Meeting - WA, USA, Spokane, United States Duration: 3 Jul 2011 → 8 Jul 2011

Conference

Conference	USNC-URSI National Radio Science Meeting
Country/Territory	United States
City	Spokane
Period	3/07/11 → 8/07/11

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10.1109/USNC-URSI.2015.7303623

Cite this

@inproceedings{70271c34f15b435b97d3c235eb87f708,

title = "Inkjet-printed wireless epidermal electronics",

abstract = "Quantified self-tools and eHealth services based on the Internet-of-Things (IoT) and big-data analyses have great business potential. Sensor nodes measure different physiological parameters and activities like movement, pressure wave, muscle activity, heart activity, body temperature, etc. These parameters are sent to a mobile device. A mobile application will give instant feedback and remedy actions based on user tailored algorithms. Such a solution can work e.g. as a personal health motivator. The data is then sent to cloud for storage and deeper analysis from where medical personnel can read them and analyze patient condition to result improved care. Such a scenario is presented in figure below.",

author = "Matti M{\"a}ntysalo",

note = "xabstract; USNC-URSI National Radio Science Meeting ; Conference date: 03-07-2011 Through 08-07-2011",

year = "2015",

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doi = "10.1109/USNC-URSI.2015.7303623",

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PY - 2015/7/1

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N2 - Quantified self-tools and eHealth services based on the Internet-of-Things (IoT) and big-data analyses have great business potential. Sensor nodes measure different physiological parameters and activities like movement, pressure wave, muscle activity, heart activity, body temperature, etc. These parameters are sent to a mobile device. A mobile application will give instant feedback and remedy actions based on user tailored algorithms. Such a solution can work e.g. as a personal health motivator. The data is then sent to cloud for storage and deeper analysis from where medical personnel can read them and analyze patient condition to result improved care. Such a scenario is presented in figure below.

AB - Quantified self-tools and eHealth services based on the Internet-of-Things (IoT) and big-data analyses have great business potential. Sensor nodes measure different physiological parameters and activities like movement, pressure wave, muscle activity, heart activity, body temperature, etc. These parameters are sent to a mobile device. A mobile application will give instant feedback and remedy actions based on user tailored algorithms. Such a solution can work e.g. as a personal health motivator. The data is then sent to cloud for storage and deeper analysis from where medical personnel can read them and analyze patient condition to result improved care. Such a scenario is presented in figure below.

U2 - 10.1109/USNC-URSI.2015.7303623

DO - 10.1109/USNC-URSI.2015.7303623

M3 - Conference contribution

SN - 978-1-4799-7817

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EP - 339

BT - Radio Science Meeting (Joint with AP-S Symposium), 2015 USNC-URSI

T2 - USNC-URSI National Radio Science Meeting

Y2 - 3 July 2011 through 8 July 2011

ER -

Inkjet-printed wireless epidermal electronics

Abstract

Conference

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