Literature DB >> 21096580

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

Francisco J Fernandez-Luque1, Juan Zapata, Ramon Ruiz.   

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.

Entities:  

Mesh:

Year:  2010        PMID: 21096580     DOI: 10.1109/IEMBS.2010.5627338

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

Review 1.  Fall detection devices and their use with older adults: a systematic review.

Authors:  Shomir Chaudhuri; Hilaire Thompson; George Demiris
Journal:  J Geriatr Phys Ther       Date:  2014 Oct-Dec       Impact factor: 3.381

Review 2.  A review on equipped hospital beds with wireless sensor networks for reducing bedsores.

Authors:  Sima Ajami; Lida Khaleghi
Journal:  J Res Med Sci       Date:  2015-10       Impact factor: 1.852

Review 3.  Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review.

Authors:  Rosaria Rucco; Antonietta Sorriso; Marianna Liparoti; Giampaolo Ferraioli; Pierpaolo Sorrentino; Michele Ambrosanio; Fabio Baselice
Journal:  Sensors (Basel)       Date:  2018-05-18       Impact factor: 3.576

Review 4.  Ambient Sensors for Elderly Care and Independent Living: A Survey.

Authors:  Md Zia Uddin; Weria Khaksar; Jim Torresen
Journal:  Sensors (Basel)       Date:  2018-06-25       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.