Design of a multi-sensors wearable system for continuous home monitoring of people with Parkinson's

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dc.contributor.authorSica, Marcoen
dc.contributor.authorVarnosfaderani, Omid Talebien
dc.contributor.authorCrowe, Columen
dc.contributor.authorKenny, Lornaen
dc.contributor.authorBocchino, Andreaen
dc.contributor.authorO'Flynn, Brendanen
dc.contributor.authorMueller, David Scotten
dc.contributor.authorTedesco, Salvatoreen
dc.contributor.authorTimmons, Suzanneen
dc.contributor.authorBarton, Johnen
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderAbbVieen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2024-06-12T11:13:27Z
dc.date.available2024-06-12T11:13:27Z
dc.date.issued2024-03-11en
dc.description.abstractParkinson’s disease is a degenerative neurological disorder that impairs motor functions and is accompanied by a wide range of non-motor symptoms, such as sleep problems. Parkinsonism is assessed during clinical evaluations and via self-administered diaries and, based on these, the required medication therapies are provided to lessen symptoms. Tri-axial accelerometers and gyroscopes have the potential utility to objectively assess the patient’s condition and aid clinicians in their decision-making. People with Parkinson’s often have significant abnormalities in blood pressure due to comorbid age-related cardiovascular disease and orthostatic hypotension, which result in blurred vision, dizziness, and falls. Frequent blood pressure monitoring may aid in the evaluation of such events and differentiate Parkinson’s disease symptoms from those originated by hypotension. In the present paper, a novel technology for the remote monitoring of Parkinsonian symptoms is presented: the WESAA system. It consists of two devices, worn on the wrist and ankle; its main function is to record accelerations and angular velocities from these body parts, together with photoplethysmograph and electrocardiogram data. This information can be elaborated offline to measure common Parkinson’s disease motor symptoms (e.g., tremor, bradykinesia, and dyskinesia), as well as gait speed, sleep-wake cycles, and cuff-less blood pressure measurements. The overall system requirements, market overview, industrial design and ergonomics, system development, user experience, early results of the gathered inertial raw data, and validation of the photoplethysmograph and electrocardiogram signal waveforms are all thoroughly discussed. The developed technology satisfies all system requirements, and the sensors adopted provided outcomes comparable with gold standard techniques.en
dc.description.sponsorshipEnterprise Ireland and AbbVie, Inc. (Agreement IP 2017 0625); Science Foundation Ireland, which is co-funded through the European Regional Development Fund (Grants 12/RC/2289-P2-INSIGHT and Grant 16/RC/3918-CONFIRM); Enterprise Ireland (Research Grant from the Disruptive Technologies Innovation Fund Project HOLISTICS funded by Enterprise Ireland under Grant EI-DT20180291-A)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSica, M., Varnosfaderani, O.T., Crowe, C., Kenny, L., Bocchino, A., O’Flynn, B., Mueller, D.S., Tedesco, S., Timmons, S. and Barton, J. (2024) ‘Design of a multi-sensors wearable system for continuous home monitoring of people with parkinson’s’, IEEE Access, 12, pp. 38436–38455. Available at: https://doi.org/10.1109/ACCESS.2024.3375871en
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2024.3375871en
dc.identifier.endpage38455en
dc.identifier.issn2169-3536en
dc.identifier.journaltitleIEEE Accessen
dc.identifier.startpage38436en
dc.identifier.urihttps://hdl.handle.net/10468/16001
dc.identifier.volume12en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofIEEE Accessen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.rights© 2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectCuff-less blood pressureen
dc.subjectECGen
dc.subjectIMUen
dc.subjectParkinson’s diseaseen
dc.subjectParkinson’s disease motor symptomsen
dc.subjectPPGen
dc.subjectRemote monitoringen
dc.subjectTelemedicineen
dc.subjectWearable sensorsen
dc.subjectBiomedical monitoringen
dc.subjectSensorsen
dc.subjectGyroscopesen
dc.subjectHypotensionen
dc.subjectElectrocardiographyen
dc.subjectSensor phenomena and characterizationen
dc.subjectBlood pressure measurementen
dc.subjectMotor drivesen
dc.subjectPatient monitoringen
dc.titleDesign of a multi-sensors wearable system for continuous home monitoring of people with Parkinson'sen
dc.typeArticle (peer-reviewed)en
oaire.citation.volume12en
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