Cost-effective RSSI Wi-Fi Positioning Solution for Ambulatory Patient Monitoring Devices

P Catherwood, T Zech, JAD McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)
169 Downloads (Pure)


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’ needs in a flexible way.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherLoughborough University
Number of pages4
ISBN (Print)978-1-4244-7305-2
Publication statusPublished (in print/issue) - 9 Nov 2010
EventLAPC2010 - Loughborough University
Duration: 9 Nov 2010 → …


Period9/11/10 → …

Bibliographical 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, ‘Global Patient Monitoring Market
Analysis & Forecasts to 2015’, Published: Jan 2009.
[3] Draeger Infinity M300 [Online]:
[4] Welch-Allyn Micropaq [Online]:
[5] D.E. Bloom, D. Canning, G. Fink, ‘Program on the global
demography of aging’, Harvard University. Oct. 2009.
[6] RFID tracking chips [Online]:
[7] GSM people location devices [Online]:
[8] GPS personal tracker [Online]:
[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 ‘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, ‘Channel modelling
and prop. measurements for a bodyworn 5.2GHz terminal moving
in the indoor env.’, IEE 12th Intl Conf Ant and Prop, vol.1, 2003,
pp. 67-70.
[13] Ekahau Wi-Fi Location System [Online]:


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