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

P Catherwood; T Zech; JAD McLaughlin

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 proceeding › Conference contribution

3 Citations (Scopus)

23 Downloads (Pure)

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’ needs in a flexible way.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Loughborough University
Pages	557-560
Number of pages	4
ISBN (Print)	978-1-4244-7305-2
Publication status	Published - 9 Nov 2010
Event	LAPC2010 - Loughborough University Duration: 9 Nov 2010 → …

Conference

Conference	LAPC2010
Period	9/11/10 → …

Access to Document

Philip Catherwood LAPC'10 camera readyAccepted author manuscript, 1.3 MB

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Cite this

Catherwood, P., Zech, T., & McLaughlin, JAD. (2010). Cost-effective RSSI Wi-Fi Positioning Solution for Ambulatory Patient Monitoring Devices. In Unknown Host Publication (pp. 557-560). Loughborough University.

@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",

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TY - GEN

T1 - Cost-effective RSSI Wi-Fi Positioning Solution for Ambulatory Patient Monitoring Devices

AU - Catherwood, P

AU - Zech, T

AU - McLaughlin, JAD

N1 - 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]: http://www.draeger.com [4] Welch-Allyn Micropaq [Online]: http://www.welchallyn.com [5] D.E. Bloom, D. Canning, G. Fink, ‘Program on the global demography of aging’, 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 ‘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]: http://www.ekahau.com

PY - 2010/11/9

Y1 - 2010/11/9

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-1-4244-7305-2

SP - 557

EP - 560

BT - Unknown Host Publication

PB - Loughborough University

T2 - LAPC2010

Y2 - 9 November 2010

ER -