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Sensors 2009, 9(9), 6715-6729; doi:10.3390/s90906715

Detecting Intra-Fraction Motion in Patients Undergoing Radiation Treatment Using a Low-Cost Wireless Accelerometer

1
Department of Engineering Science, Sonoma State University, Rohnert Park, CA 94928, USA
2
Austin Cancer Center, 2600 E. Martin Luther King Jr. Blvd., Austin, Texas 78702, USA
3
Instituto de Telecomunicações, Department of Informatics, University of Beira Interior, Covilhã, 6201-001, Portugal
*
Author to whom correspondence should be addressed.
Received: 31 May 2009 / Revised: 1 August 2009 / Accepted: 18 August 2009 / Published: 27 August 2009
(This article belongs to the Section Chemical Sensors)
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Abstract

The utility of a novel, high-precision, non-intrusive, wireless, accelerometerbased patient orientation monitoring system (APOMS) in determining orientation change in patients undergoing radiation treatment is reported here. Using this system a small wireless accelerometer sensor is placed on a patient’s skin, broadcasting its orientation to the receiving station connected to a PC in the control area. A threshold-based algorithm is developed to identify the exact amount of the patient’s head orientation change. Through real-time measurements, an audible alarm can alert the radiation therapist if the user-defined orientation threshold is violated. Our results indicate that, in spite of its low-cost and simplicity, the APOMS is highly sensitive and offers accurate measurements. Furthermore, the APOMS is patient friendly, vendor neutral, and requires minimal user training. The versatile architecture of the APOMS makes it potentially suitable for variety of applications, including study of correlation between external and internal markers during Image-Guided Radiation Therapy (IGRT), with no major changes in hardware setup or algorithm. View Full-Text
Keywords: sensor networks; accelerometer; e-health; medical applications; medical systems sensor networks; accelerometer; e-health; medical applications; medical systems
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Farahmand, F.; Khadivi, K.O.; Rodrigues, J.J.P.C. Detecting Intra-Fraction Motion in Patients Undergoing Radiation Treatment Using a Low-Cost Wireless Accelerometer. Sensors 2009, 9, 6715-6729.

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