• DocumentCode
    2942497
  • Title

    A system for ubiquitous fall monitoring at home via a wireless sensor network

  • Author

    Fernández-Luque, Francísco J. ; Zapata, Juan ; Ruiz, Ramón

  • Author_Institution
    Ambiental Intell. & Interaction S.L.L. (Ami2), Univ. de Murcia, Murcia, Spain
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    2246
  • Lastpage
    2249
  • Abstract
    Accidental falls of our elderly, and physical injuries resulting, represent a major health and economic. Falls are the most common causes of serious injuries and a major health threats in the stratum of older population. Early detection of a fall is a key factor when trying to provide adequate care to the elderly person who has suffered an accident at home. In this paper, we present a support system for detecting falls of an elder person by a static wireless nonintrusive sensorial infrastructure based on heterogenous sensor nodes. This previous infrastructure, named AID (Alarm Intelligent Device), is an AAL (Ambient Assisted Living) system that allows to infer a potential fall. We have developed, different to other contributions, a specific low-power multi-hop network consists of nodes (Motes) that wirelessly communicate to each other and are capable of hopping radio messages to a base station where they are passed to a PC (or other possible client). The goal of this project is 1) to provide alerts to caregivers in the event of an accident, acute illness or strange (possibly dangerous) activities, and 2) to enable that authorized and authenticated caregivers by means of a itinerant wearable mote can be inserted into mesh and interact with it. In this paper, we describe an ubiquitous assistential monitoring system at home.
  • Keywords
    accidents; biomechanics; biomedical communication; biomedical measurement; geriatrics; health care; patient monitoring; wireless sensor networks; AAL system; AID; Alarm Intelligent Device; accidental falls; ambient assisted living system; early fall detection; elderly; geriatric care; heterogenous sensor nodes; physical injuries; specific low power multihop network; static wireless nonintrusive sensor infrastructure; support system; ubiquitous fall monitoring system; wireless sensor network; Base stations; Biomedical monitoring; Logic gates; Monitoring; Peer to peer computing; Senior citizens; Wireless sensor networks; Accidental Falls; Aged; Computer Communication Networks; Computers; Equipment Design; Health Services for the Aged; Home Care Services; Humans; Monitoring, Ambulatory; Monitoring, Physiologic; Software; Telemetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627338
  • Filename
    5627338