@inproceedings{21454632d33e4d7fb8ff7d1dd06c3052,
title = "Cost-effective RSSI Wi-Fi Positioning Solution for Ambulatory Patient Monitoring Devices",
abstract = "This paper presents a novel patient location solutionusing an RSSI (Received Signal Strength Indicator)fingerprinting method, integrated into an ambulatory patientmonitoring device. Results show that patients can be located in apedestrian-rich environment to a typical accuracy of 2m in realtimewith only a basic training sequence for the system. Inaddition, coupled with accelerometer, ECG and respiration ratetechnology, medical staff can know exactly where a patient islocated and what medical requirement to expect when they getthere; e.g., requirement for defibrillation equipment, first aiddue to a fall, etc. This offers a robust and dependable wirelesssystem that increases patient safety and freedom, while allowingclinicians ability to meet patients{\textquoteright} needs in a flexible way.",
author = "P Catherwood and T Zech and JAD McLaughlin",
note = "Reference text: [1] P.A. Catherwood & W.G. Scanlon, 'Off-body UWB channel characterisation within a hospital ward environment,' Intl. J. UWB Comms & Systems, Vol. 1, 4, pp. 263-272, 2010. [2] Global Markets Direct, {\textquoteleft}Global Patient Monitoring Market Analysis & Forecasts to 2015{\textquoteright}, Published: Jan 2009. [3] Draeger Infinity M300 [Online]: http://www.draeger.com [4] Welch-Allyn Micropaq [Online]: http://www.welchallyn.com [5] D.E. Bloom, D. Canning, G. Fink, {\textquoteleft}Program on the global demography of aging{\textquoteright}, Harvard University. Oct. 2009. [6] RFID tracking chips [Online]: http://www.digitalangel.com [7] GSM people location devices [Online]: http://www.teltonika.lt [8] GPS personal tracker [Online]: http://www.universaltrackers.com [9] J. D. Parsons, The Mobile Radio Propagation Channel. Pentech, London, 1992 (pg. 194). [10] F. Lassabe et al, Indoor Wi-Fi positioning: techniques and systems. Annals of Telecomms {\textquoteleft}09. Vol.64, No.9-10, pgs.651-664. [11] M.N. Borenovi et al. Positioning in WLAN environment by use of artificial neural networks and space partitioning. Annals of Telecomms, Vol. 64, No. 9-10, pgs. 665-676, October 2009. [12] K.I. Ziri-Castro, W.G. Scanlon, N.E. Evans, {\textquoteleft}Channel modelling and prop. measurements for a bodyworn 5.2GHz terminal moving in the indoor env.{\textquoteright}, IEE 12th Intl Conf Ant and Prop, vol.1, 2003, pp. 67-70. [13] Ekahau Wi-Fi Location System [Online]: http://www.ekahau.com; LAPC2010 ; Conference date: 09-11-2010",
year = "2010",
month = nov,
day = "9",
language = "English",
isbn = "978-1-4244-7305-2",
pages = "557--560",
booktitle = "Unknown Host Publication",
publisher = "Loughborough University",
address = "United Kingdom",
}