A Smartphone-Based Clinical Decision Support System for Tremor Assessment

Guillaume Zamora; Caro E.M. Fuchs; Aurelie Degeneffe; Pieter Kubben; Uzay Kaymak

doi:10.1007/978-3-030-63061-4_1

A Smartphone-Based Clinical Decision Support System for Tremor Assessment

Guillaume Zamora
, Caro E.M. Fuchs
, Aurelie Degeneffe
, Pieter Kubben
, Uzay Kaymak

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

3 Citaten (Scopus)

Samenvatting

Tremor severity assessment is an important element for the diagnosis and treatment decision-making process of patients suffering from Essential Tremor (ET). Classically, questionnaires like the ETRS and QUEST surveys have been used to assess tremor severity. Recently, attention around computerized tremor analysis has grown. In this study, we use regression trees to map the relationship between tremor data that is collected using the TREMOR12 smartphone application with ETRS and QUEST scores. We aim to develop a model that is able to automatically assess tremor severity of patients suffering from Essential Tremor without the use of more subjective questionnaires. This study shows that tremor data gathered using the TREMOR12 application is useful for constructing machine learning models that can be used to support the diagnosis and monitoring of patients who suffer from Essential Tremor.

Originele taal-2	Engels
Titel	Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers
Subtitel	16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers
Redacteuren	Paolo Cazzaniga, Daniela Besozzi, Ivan Merelli, Luca Manzoni
Plaats van productie	Cham
Uitgeverij	Springer
Hoofdstuk	1
Pagina's	3-12
Aantal pagina's	10
ISBN van elektronische versie	978-3-030-63061-4
ISBN van geprinte versie	978-3-030-63060-7
DOI's	https://doi.org/10.1007/978-3-030-63061-4_1
Status	Gepubliceerd - 2020
Evenement	16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, CIBB 2019 - Bergamo, Italië Duur: 4 sep. 2019 → 6 sep. 2019

Publicatie series

Naam	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12313 LNBI
ISSN van geprinte versie	0302-9743
ISSN van elektronische versie	1611-3349

Congres

Congres	16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, CIBB 2019
Verkorte titel	CIBB 2019
Land/Regio	Italië
Stad	Bergamo
Periode	4/09/19 → 6/09/19

Financiering

Grenoble Institute of Technology

Toegang tot document

10.1007/978-3-030-63061-4_1

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Link to publication in Scopus

Citeer dit

Zamora, G., Fuchs, C. E. M., Degeneffe, A., Kubben, P., & Kaymak, U. (2020). A Smartphone-Based Clinical Decision Support System for Tremor Assessment. In P. Cazzaniga, D. Besozzi, I. Merelli, & L. Manzoni (editors), Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers (blz. 3-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12313 LNBI). Springer. https://doi.org/10.1007/978-3-030-63061-4_1

Zamora, Guillaume ; Fuchs, Caro E.M. ; Degeneffe, Aurelie et al. / A Smartphone-Based Clinical Decision Support System for Tremor Assessment. Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers. redacteur / Paolo Cazzaniga ; Daniela Besozzi ; Ivan Merelli ; Luca Manzoni. Cham : Springer, 2020. blz. 3-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Smartphone-Based Clinical Decision Support System for Tremor Assessment",

abstract = "Tremor severity assessment is an important element for the diagnosis and treatment decision-making process of patients suffering from Essential Tremor (ET). Classically, questionnaires like the ETRS and QUEST surveys have been used to assess tremor severity. Recently, attention around computerized tremor analysis has grown. In this study, we use regression trees to map the relationship between tremor data that is collected using the TREMOR12 smartphone application with ETRS and QUEST scores. We aim to develop a model that is able to automatically assess tremor severity of patients suffering from Essential Tremor without the use of more subjective questionnaires. This study shows that tremor data gathered using the TREMOR12 application is useful for constructing machine learning models that can be used to support the diagnosis and monitoring of patients who suffer from Essential Tremor.",

keywords = "Clinical decision support, Essential Tremor, Smartphone application, Tremor severity",

author = "Guillaume Zamora and Fuchs, \{Caro E.M.\} and Aurelie Degeneffe and Pieter Kubben and Uzay Kaymak",

year = "2020",

doi = "10.1007/978-3-030-63061-4\_1",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Paolo Cazzaniga and Daniela Besozzi and Merelli, \{Ivan \} and Luca Manzoni",

booktitle = "Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers",

address = "Germany",

note = "16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, CIBB 2019, CIBB 2019 ; Conference date: 04-09-2019 Through 06-09-2019",

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Zamora, G, Fuchs, CEM, Degeneffe, A, Kubben, P & Kaymak, U 2020, A Smartphone-Based Clinical Decision Support System for Tremor Assessment. in P Cazzaniga, D Besozzi, I Merelli & L Manzoni (reds.), Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12313 LNBI, Springer, Cham, blz. 3-12, 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, CIBB 2019, Bergamo, Italië, 4/09/19. https://doi.org/10.1007/978-3-030-63061-4_1

A Smartphone-Based Clinical Decision Support System for Tremor Assessment. / Zamora, Guillaume; Fuchs, Caro E.M.; Degeneffe, Aurelie et al.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers. reds. / Paolo Cazzaniga; Daniela Besozzi; Ivan Merelli; Luca Manzoni. Cham: Springer, 2020. blz. 3-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12313 LNBI).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - A Smartphone-Based Clinical Decision Support System for Tremor Assessment

AU - Zamora, Guillaume

AU - Fuchs, Caro E.M.

AU - Degeneffe, Aurelie

AU - Kubben, Pieter

AU - Kaymak, Uzay

PY - 2020

Y1 - 2020

N2 - Tremor severity assessment is an important element for the diagnosis and treatment decision-making process of patients suffering from Essential Tremor (ET). Classically, questionnaires like the ETRS and QUEST surveys have been used to assess tremor severity. Recently, attention around computerized tremor analysis has grown. In this study, we use regression trees to map the relationship between tremor data that is collected using the TREMOR12 smartphone application with ETRS and QUEST scores. We aim to develop a model that is able to automatically assess tremor severity of patients suffering from Essential Tremor without the use of more subjective questionnaires. This study shows that tremor data gathered using the TREMOR12 application is useful for constructing machine learning models that can be used to support the diagnosis and monitoring of patients who suffer from Essential Tremor.

AB - Tremor severity assessment is an important element for the diagnosis and treatment decision-making process of patients suffering from Essential Tremor (ET). Classically, questionnaires like the ETRS and QUEST surveys have been used to assess tremor severity. Recently, attention around computerized tremor analysis has grown. In this study, we use regression trees to map the relationship between tremor data that is collected using the TREMOR12 smartphone application with ETRS and QUEST scores. We aim to develop a model that is able to automatically assess tremor severity of patients suffering from Essential Tremor without the use of more subjective questionnaires. This study shows that tremor data gathered using the TREMOR12 application is useful for constructing machine learning models that can be used to support the diagnosis and monitoring of patients who suffer from Essential Tremor.

KW - Clinical decision support

KW - Essential Tremor

KW - Smartphone application

KW - Tremor severity

UR - https://www.scopus.com/pages/publications/85098288485

U2 - 10.1007/978-3-030-63061-4_1

DO - 10.1007/978-3-030-63061-4_1

M3 - Conference contribution

SN - 978-3-030-63060-7

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 12

BT - Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers

A2 - Cazzaniga, Paolo

A2 - Besozzi, Daniela

A2 - Merelli, Ivan

A2 - Manzoni, Luca

PB - Springer

CY - Cham

T2 - 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, CIBB 2019

Y2 - 4 September 2019 through 6 September 2019

ER -

Zamora G, Fuchs CEM, Degeneffe A, Kubben P, Kaymak U. A Smartphone-Based Clinical Decision Support System for Tremor Assessment. In Cazzaniga P, Besozzi D, Merelli I, Manzoni L, redacteurs, Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers. Cham: Springer. 2020. blz. 3-12. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-63061-4_1

A Smartphone-Based Clinical Decision Support System for Tremor Assessment

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