Abstract

This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions.
Original languageEnglish
PublisherSpringer Publishing Company
Edition1
Number of pages102
ISBN (Print)978-3-319-27023-4
ISBN (Electronic)978-3-319-27024-1
DOIs
Publication statusPublished - 2015
SeriesSpringerBriefs in Computer Science

Fingerprint

Distributed computer systems
Monitoring
Geriatrics
Learning systems
Signal processing
Fusion reactions
Aging of materials
Health
Sensors

Keywords

  • Geriatric patient
  • Elderly
  • Older adults
  • health monitoring
  • Smart home
  • Patient at home
  • Telemonitoring
  • Assisted living
  • Gerotechnology
  • Caregiver
  • eHealth
  • Ambient intelligence (AmI)
  • Ambient assisted living (AAL)
  • Fall
  • injury
  • Wandering
  • Malnutrition
  • Sleeping disorder
  • Sensor
  • Data acquisition
  • database
  • Physiological signal

Cite this

@book{ed7022318c334ff692a897e616ced375,
title = "Distributed Computing and Monitoring Technologies for Older Patients",
abstract = "This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions.",
keywords = "Geriatric patient, Elderly, Older adults, health monitoring, Smart home, Patient at home, Telemonitoring, Assisted living, Gerotechnology, Caregiver, eHealth, Ambient intelligence (AmI), Ambient assisted living (AAL), Fall, injury, Wandering, Malnutrition, Sleeping disorder, Sensor, Data acquisition, database, Physiological signal",
author = "Juris Klonovs and Haque, {Mohammad Ahsanul} and Volker Kr{\"u}ger and Kamal Nasrollahi and Karen Andersen-Ranberg and Moeslund, {Thomas B.} and Spaich, {Erika Geraldina}",
year = "2015",
doi = "10.1007/978-3-319-27024-1",
language = "English",
isbn = "978-3-319-27023-4",
publisher = "Springer Publishing Company",
address = "United States",
edition = "1",

}

Distributed Computing and Monitoring Technologies for Older Patients. / Klonovs, Juris; Haque, Mohammad Ahsanul; Krüger, Volker; Nasrollahi, Kamal; Andersen-Ranberg, Karen; Moeslund, Thomas B.; Spaich, Erika Geraldina.

1 ed. Springer Publishing Company, 2015. 102 p. (SpringerBriefs in Computer Science).

Research output: Book/ReportBookResearchpeer-review

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AU - Spaich, Erika Geraldina

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AB - This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions.

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Klonovs J, Haque MA, Krüger V, Nasrollahi K, Andersen-Ranberg K, Moeslund TB et al. Distributed Computing and Monitoring Technologies for Older Patients. 1 ed. Springer Publishing Company, 2015. 102 p. (SpringerBriefs in Computer Science). https://doi.org/10.1007/978-3-319-27024-1