2013 IEEE Third International Conference on Consumer Electronics ¿ Berlin (ICCE-Berlin) 2013
DOI: 10.1109/icce-berlin.2013.6698063
|View full text |Cite
|
Sign up to set email alerts
|

Smart-clothes — Prototyping of a health monitoring platform

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 17 publications
(7 citation statements)
references
References 8 publications
0
7
0
Order By: Relevance
“…Smart-Clothes Platform [16] Woven sensors, USB cables General monitoring of cardiac and respiratory patients 2013 Table I Figures 3 shows the sensor data received by the staff nurse and the sensor data observed by the medical practitioner from SQL data base. The sensor data were stored in the data base with date and time of reception.…”
Section: Resultsmentioning
confidence: 99%
“…Smart-Clothes Platform [16] Woven sensors, USB cables General monitoring of cardiac and respiratory patients 2013 Table I Figures 3 shows the sensor data received by the staff nurse and the sensor data observed by the medical practitioner from SQL data base. The sensor data were stored in the data base with date and time of reception.…”
Section: Resultsmentioning
confidence: 99%
“…In fact, this is where the value is created. The connection with the back-end is frequently performed via smartphones [113], although, in the Internet of Smart Clothing, a smart garment would be connected to the Internet or to an Internal LAN through a wireless interface that enables interacting with it.…”
Section: Storage Subsystemmentioning
confidence: 99%
“…Even so, the data collected by various sensors may be multifaceted with the ongoing challenge of aggregating them [28] . • Multi-device collaboration, for example, a smart phone may be coupled with another smart device, typically a smart watch [ 29 , 30 ], smart glasses [31] , or smart clothing [32] , to compensate for the inability to measure some health conditions.…”
Section: Smart Technologies Applications To Mobile Health Carementioning
confidence: 99%