Silverlink: Smart home health monitoring for senior care

Joshua Chuang, Lubaina Maimoon, Shuo Yu, Hongyi Zhu, Casper Nybroe, Owen Hsiao, Shu Hsing Li, Hsinmin Lu, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Senior care has become one of the pressing societal challenges faced by many developed and emerging countries, including the US (the aging baby boomer) and China (the reverse 4-2-1 family pyramid due to one child policy). Despite failing health, most senior citizens prefer to live independently at home and hence the focus of current healthcare technologies have shifted from traditional clinical care to “at-home” care for the senior citizens. We propose to develop SilverLink, a system that is unique in its smart and connected technologies and will offer: (1) affordable and non-invasive home-based mobile health technologies for monitoring health-related motion and daily activities; (2) advanced mobile health analytics algorithms for fall detection, health status progression monitoring, and patient health anomaly detection and alert; and (3) a comprehensive patient health activity portal for reporting user activity and health status and for engaging with family members. This system will initially be launched in the US, in China and in Taiwan and will aim to overcome the limitations of existing home-care solutions.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages3-14
Number of pages12
Volume9545
ISBN (Print)9783319291741
DOIs
StatePublished - 2016
EventInternational Conference for Smart Health, ICSH 2015 - Phoenix, United States
Duration: Nov 17 2015Nov 18 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9545
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference for Smart Health, ICSH 2015
CountryUnited States
CityPhoenix
Period11/17/1511/18/15

Fingerprint

Smart Home
Health Monitoring
Health
Monitoring
China
Anomaly Detection
Pyramid
Taiwan
Progression
Healthcare
Aging of materials
Reverse
Motion

Keywords

  • Gait analysis
  • Health big data
  • Health progression monitoring
  • Home health monitoring
  • Senior care

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chuang, J., Maimoon, L., Yu, S., Zhu, H., Nybroe, C., Hsiao, O., ... Chen, H. (2016). Silverlink: Smart home health monitoring for senior care. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9545, pp. 3-14). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9545). Springer Verlag. https://doi.org/10.1007/978-3-319-29175-8_1

Silverlink : Smart home health monitoring for senior care. / Chuang, Joshua; Maimoon, Lubaina; Yu, Shuo; Zhu, Hongyi; Nybroe, Casper; Hsiao, Owen; Li, Shu Hsing; Lu, Hsinmin; Chen, Hsinchun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9545 Springer Verlag, 2016. p. 3-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9545).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chuang, J, Maimoon, L, Yu, S, Zhu, H, Nybroe, C, Hsiao, O, Li, SH, Lu, H & Chen, H 2016, Silverlink: Smart home health monitoring for senior care. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9545, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9545, Springer Verlag, pp. 3-14, International Conference for Smart Health, ICSH 2015, Phoenix, United States, 11/17/15. https://doi.org/10.1007/978-3-319-29175-8_1
Chuang J, Maimoon L, Yu S, Zhu H, Nybroe C, Hsiao O et al. Silverlink: Smart home health monitoring for senior care. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9545. Springer Verlag. 2016. p. 3-14. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-29175-8_1
Chuang, Joshua ; Maimoon, Lubaina ; Yu, Shuo ; Zhu, Hongyi ; Nybroe, Casper ; Hsiao, Owen ; Li, Shu Hsing ; Lu, Hsinmin ; Chen, Hsinchun. / Silverlink : Smart home health monitoring for senior care. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9545 Springer Verlag, 2016. pp. 3-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{408f8278118948c29d78e182e022b92f,
title = "Silverlink: Smart home health monitoring for senior care",
abstract = "Senior care has become one of the pressing societal challenges faced by many developed and emerging countries, including the US (the aging baby boomer) and China (the reverse 4-2-1 family pyramid due to one child policy). Despite failing health, most senior citizens prefer to live independently at home and hence the focus of current healthcare technologies have shifted from traditional clinical care to “at-home” care for the senior citizens. We propose to develop SilverLink, a system that is unique in its smart and connected technologies and will offer: (1) affordable and non-invasive home-based mobile health technologies for monitoring health-related motion and daily activities; (2) advanced mobile health analytics algorithms for fall detection, health status progression monitoring, and patient health anomaly detection and alert; and (3) a comprehensive patient health activity portal for reporting user activity and health status and for engaging with family members. This system will initially be launched in the US, in China and in Taiwan and will aim to overcome the limitations of existing home-care solutions.",
keywords = "Gait analysis, Health big data, Health progression monitoring, Home health monitoring, Senior care",
author = "Joshua Chuang and Lubaina Maimoon and Shuo Yu and Hongyi Zhu and Casper Nybroe and Owen Hsiao and Li, {Shu Hsing} and Hsinmin Lu and Hsinchun Chen",
year = "2016",
doi = "10.1007/978-3-319-29175-8_1",
language = "English (US)",
isbn = "9783319291741",
volume = "9545",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "3--14",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Silverlink

T2 - Smart home health monitoring for senior care

AU - Chuang, Joshua

AU - Maimoon, Lubaina

AU - Yu, Shuo

AU - Zhu, Hongyi

AU - Nybroe, Casper

AU - Hsiao, Owen

AU - Li, Shu Hsing

AU - Lu, Hsinmin

AU - Chen, Hsinchun

PY - 2016

Y1 - 2016

N2 - Senior care has become one of the pressing societal challenges faced by many developed and emerging countries, including the US (the aging baby boomer) and China (the reverse 4-2-1 family pyramid due to one child policy). Despite failing health, most senior citizens prefer to live independently at home and hence the focus of current healthcare technologies have shifted from traditional clinical care to “at-home” care for the senior citizens. We propose to develop SilverLink, a system that is unique in its smart and connected technologies and will offer: (1) affordable and non-invasive home-based mobile health technologies for monitoring health-related motion and daily activities; (2) advanced mobile health analytics algorithms for fall detection, health status progression monitoring, and patient health anomaly detection and alert; and (3) a comprehensive patient health activity portal for reporting user activity and health status and for engaging with family members. This system will initially be launched in the US, in China and in Taiwan and will aim to overcome the limitations of existing home-care solutions.

AB - Senior care has become one of the pressing societal challenges faced by many developed and emerging countries, including the US (the aging baby boomer) and China (the reverse 4-2-1 family pyramid due to one child policy). Despite failing health, most senior citizens prefer to live independently at home and hence the focus of current healthcare technologies have shifted from traditional clinical care to “at-home” care for the senior citizens. We propose to develop SilverLink, a system that is unique in its smart and connected technologies and will offer: (1) affordable and non-invasive home-based mobile health technologies for monitoring health-related motion and daily activities; (2) advanced mobile health analytics algorithms for fall detection, health status progression monitoring, and patient health anomaly detection and alert; and (3) a comprehensive patient health activity portal for reporting user activity and health status and for engaging with family members. This system will initially be launched in the US, in China and in Taiwan and will aim to overcome the limitations of existing home-care solutions.

KW - Gait analysis

KW - Health big data

KW - Health progression monitoring

KW - Home health monitoring

KW - Senior care

UR - http://www.scopus.com/inward/record.url?scp=84958552513&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958552513&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-29175-8_1

DO - 10.1007/978-3-319-29175-8_1

M3 - Conference contribution

AN - SCOPUS:84958552513

SN - 9783319291741

VL - 9545

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 14

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -