Inkjet-printed wireless epidermal electronics

Matti Mäntysalo

doi:10.1109/USNC-URSI.2015.7303623

Inkjet-printed wireless epidermal electronics

Matti Mäntysalo

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Radio Science Meeting (Joint with AP-S Symposium), 2015 USNC-URSI
Sivut	339-339
Sivumäärä	1
DOI - pysyväislinkit	https://doi.org/10.1109/USNC-URSI.2015.7303623
Tila	Julkaistu - 1 heinäk. 2015
OKM-julkaisutyyppi	Ei OKM-tyyppiä
Tapahtuma	USNC-URSI National Radio Science Meeting - WA, USA, Spokane, Yhdysvallat Kesto: 3 heinäk. 2011 → 8 heinäk. 2011

Conference

Conference	USNC-URSI National Radio Science Meeting
Maa/Alue	Yhdysvallat
Kaupunki	Spokane
Ajanjakso	3/07/11 → 8/07/11

Pääsy asiakirjaan

10.1109/USNC-URSI.2015.7303623

Siteeraa tätä

@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",

month = jul,

day = "1",

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

language = "English",

isbn = "978-1-4799-7817",

pages = "339--339",

booktitle = "Radio Science Meeting (Joint with AP-S Symposium), 2015 USNC-URSI",

}

TY - GEN

T1 - Inkjet-printed wireless epidermal electronics

AU - Mäntysalo, Matti

N1 - xabstract

PY - 2015/7/1

Y1 - 2015/7/1

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

SP - 339

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

Abstrakti

Conference

Pääsy asiakirjaan

Sormenjälki

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