A Low Cost Wireless Sensor Interface for the Quantification of Tremor in Parkinson’s Disease

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dc.contributor.advisorInce, Nuri F.
dc.contributor.committeeMemberOmurtag, Ahmet
dc.contributor.committeeMemberZhang, Yingchun
dc.contributor.committeeMemberJimenez-Shahed, Joohi
dc.creatorSiddiqui, Hasan
dc.creator.orcid0000-0002-7833-2908
dc.date.accessioned2018-11-30T20:03:36Z
dc.date.available2018-11-30T20:03:36Z
dc.date.createdAugust 2016
dc.date.issued2016-08
dc.date.submittedAugust 2016
dc.date.updated2018-11-30T20:03:36Z
dc.description.abstractDeep brain stimulation surgery involves placing an electrode in the deep brain to suppress the motor symptoms of patients with Parkinson’s disease (PD). Currently physicians use the standard Unified Parkinson’s Disease Rating Scale to describe the tremor. This scale involves subjective anchor-based observations by the clinical expert. A wireless accelerometer system is presented that was built from off the shelf components to objectively quantify tremor scores. The system consists of a Teensy microcontroller and two accelerometers. It wirelessly transmits the readings through a Bluetooth module. The data is received by a custom C/C++ that parses and transmits the data to the Simulink environment for realtime visualization and analysis. The system is used to record data from patients with PD during and after DBS surgery. In this thesis, we describe the wireless accelerometer system in detail and study the correlation of sensor readings with UPDRS scores in the different DBS states. In particular, we provide data showing that such a system can be used for the objective quantification of tremor symptoms in PD patients.
dc.description.departmentBiomedical Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.citationPortions of this document appear in: Siddiqui, Hasan A., Joohi Jimenez-Shahed, Ashwin Viswanathan, and Nuri F. Ince. "A wireless sensor interface for the quantification of tremor using off the shelf components." In Biomedical Engineering Conference (SBEC), 2016 32nd Southern, pp. 177-178. IEEE, 2016.
dc.identifier.citationPortions of this document appear in: Siddiqui, Hasan A., Joohi Jimenez-Shahed, Ashwin Viswanathan, and Nuri F. Ince. "A wireless sensor interface for the quantification of tremor using off the shelf components." In Biomedical Engineering Conference (SBEC), 2016 32nd Southern, pp. 177-178. IEEE, 2016.
dc.identifier.urihttp://hdl.handle.net/10657/3527
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectWearable devices
dc.subjectSensors
dc.subjectWireless
dc.subjectParkinson's Disease
dc.subjectTremor
dc.subjectInterfaces
dc.titleA Low Cost Wireless Sensor Interface for the Quantification of Tremor in Parkinson’s Disease
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentBiomedical Engineering, Department of
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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