Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Mendes, Luanne Cardoso
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso embargado
Idioma: eng
Instituição de defesa: Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Biomédica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufu.br/handle/123456789/41189
http://doi.org/10.14393/ufu.te.2024.30
Resumo: Introduction: Parkinson’s disease (PD) is a neurological disorder that affects body movements and causes symptoms such as bradykinesia and tremor. Bradykinesia, characterised as slowness of movement, is the main motor symptom of PD; while tremor, a rhythmic and involuntary oscillatory movement of a body part, is usually the first and the most troublesome motor symptom of the disease. Currently, Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS–UPDRS) is the most widely used clinical scale for assessing both symptoms. However, this type of assessment has limitations, such as subjectivity and dependence on experienced assessors. These problems can be overcome with the use of inertial sensors for objective measurements of movement, incorporated, for example, in control devices for serious games (SGs), increasingly promising tools for rehabilitation and movement assessment. Objectives: To develop a serious game with high usability and accessibility to individuals with PD, and, by using the signals recorded from the movements made during the game, to objectively assess bradykinesia and tremor. Methods: First, a literature review was carried out to identify existing technologies related to games for individuals with PD. Subsequently, a questionnaire was developed to assess multidimensional aspects of patients and guide the development of the game. Based on this research, a serious game about bees, so-called RehaBEElitation, was designed in Unity 3D. The game presents four phases, each one representing a bee’s task in the real world. The user has to control the movements of a bee in a 3D environment, executing the same movements found in the MDS–UPDRS. Fifteen individuals with PD and fifteen healthy individuals interacted with the game, constituting the experimental group (EG) and the control group (CG), respectively, with matched ages and sexes. Data was collected in the ON and OFF states of the medication for the EG. The usability of the game was assessed using the Nielsen-Shneiderman heuristics and user-centred approaches (evaluation questionnaires and semi-structured interview); and the accessibility, using the performance (scores) of the players in each phase. Bradykinesia was evaluated by detecting the trend of the gyroscope signals using Singular Spectrum Analysis (SSA), a time series decomposition method. The response time (RT) and angular velocity (AV) of the participants while playing RehaBEElitation were then estimated. Tremor was detected by removing the trend from the original signal and assessed by estimating the mean absolute value (MAV), root mean square (RMS) and power spectral density (PSD) of the gyroscope signals. In game usability evaluation, the paired-samples t-test and Wilcoxon test were used to confirm differences for questionnaire responses before and after game improvements. While assessing game accessibility and bradykinesia, one-way analysis of variance (ANOVA), t-test with Bonferroni correction, Kruskal-Wallis test and Wilcoxon test with Bonferroni correction were used to confirm the differences between groups. Results and Discussion: The heuristic evaluation contemplated all the 14 heuristics proposed by Shneiderman, which allowed the implementation of improvements in the game. The questionnaires and the semi-structured interview also contributed to improve the usability of the game. The accessibility evaluation revealed no statistically significant differences (p<0.05) between groups, except for the healthy group and the PD group in both states of medication during Phase 3. In bradykinesia assessment, significant differences were found between groups for all comparisons (p<0.05). In most phases, CG participants obtained the best results for RT and AV, followed by EG in the ON state and EG in the OFF state. Regarding tremor, the probability that the peak frequencies of the PD–OFF signals fall within the frequency range of Parkinson’s tremor (4-7 Hz) was higher than for the PD–ON group, which in turn was higher than for CG. For both MAV and RMS, the chance that the distribution having a bimodal aspect, which represents the presence of PD tremor, was higher for the EG in the ON and OFF states than for the CG. The PD–OFF group had the highest probability of having the highest peak power in the signal than the other groups. In summary, MAV and RMS showed strong correlation with MDS–UPDRS. Conclusion: The RehaBEElitation serious game is an alternative tool for assessing the main motor symptoms of PD in an objective and entertaining way. The game is compatible with the mental models of the target audience, which allowed users to easily interact with the developed system. In general, the EG participants in the OFF state showed increased bradykinesia and tremor compared to the ON state.
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spelling Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s diseaseDesenvolvimento e validação de um jogo sério para reabilitação e monitoramento de indivíduos com a doença de ParkinsonParkinson’s diseaseBradykinesiaTremorObjective evaluationSerious gameCNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICAEngenharia biomédicaODS::ODS 3. Saúde e bem-estar - Assegurar uma vida saudável e promover o bem-estar para todos, em todas as idades.Introduction: Parkinson’s disease (PD) is a neurological disorder that affects body movements and causes symptoms such as bradykinesia and tremor. Bradykinesia, characterised as slowness of movement, is the main motor symptom of PD; while tremor, a rhythmic and involuntary oscillatory movement of a body part, is usually the first and the most troublesome motor symptom of the disease. Currently, Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS–UPDRS) is the most widely used clinical scale for assessing both symptoms. However, this type of assessment has limitations, such as subjectivity and dependence on experienced assessors. These problems can be overcome with the use of inertial sensors for objective measurements of movement, incorporated, for example, in control devices for serious games (SGs), increasingly promising tools for rehabilitation and movement assessment. Objectives: To develop a serious game with high usability and accessibility to individuals with PD, and, by using the signals recorded from the movements made during the game, to objectively assess bradykinesia and tremor. Methods: First, a literature review was carried out to identify existing technologies related to games for individuals with PD. Subsequently, a questionnaire was developed to assess multidimensional aspects of patients and guide the development of the game. Based on this research, a serious game about bees, so-called RehaBEElitation, was designed in Unity 3D. The game presents four phases, each one representing a bee’s task in the real world. The user has to control the movements of a bee in a 3D environment, executing the same movements found in the MDS–UPDRS. Fifteen individuals with PD and fifteen healthy individuals interacted with the game, constituting the experimental group (EG) and the control group (CG), respectively, with matched ages and sexes. Data was collected in the ON and OFF states of the medication for the EG. The usability of the game was assessed using the Nielsen-Shneiderman heuristics and user-centred approaches (evaluation questionnaires and semi-structured interview); and the accessibility, using the performance (scores) of the players in each phase. Bradykinesia was evaluated by detecting the trend of the gyroscope signals using Singular Spectrum Analysis (SSA), a time series decomposition method. The response time (RT) and angular velocity (AV) of the participants while playing RehaBEElitation were then estimated. Tremor was detected by removing the trend from the original signal and assessed by estimating the mean absolute value (MAV), root mean square (RMS) and power spectral density (PSD) of the gyroscope signals. In game usability evaluation, the paired-samples t-test and Wilcoxon test were used to confirm differences for questionnaire responses before and after game improvements. While assessing game accessibility and bradykinesia, one-way analysis of variance (ANOVA), t-test with Bonferroni correction, Kruskal-Wallis test and Wilcoxon test with Bonferroni correction were used to confirm the differences between groups. Results and Discussion: The heuristic evaluation contemplated all the 14 heuristics proposed by Shneiderman, which allowed the implementation of improvements in the game. The questionnaires and the semi-structured interview also contributed to improve the usability of the game. The accessibility evaluation revealed no statistically significant differences (p<0.05) between groups, except for the healthy group and the PD group in both states of medication during Phase 3. In bradykinesia assessment, significant differences were found between groups for all comparisons (p<0.05). In most phases, CG participants obtained the best results for RT and AV, followed by EG in the ON state and EG in the OFF state. Regarding tremor, the probability that the peak frequencies of the PD–OFF signals fall within the frequency range of Parkinson’s tremor (4-7 Hz) was higher than for the PD–ON group, which in turn was higher than for CG. For both MAV and RMS, the chance that the distribution having a bimodal aspect, which represents the presence of PD tremor, was higher for the EG in the ON and OFF states than for the CG. The PD–OFF group had the highest probability of having the highest peak power in the signal than the other groups. In summary, MAV and RMS showed strong correlation with MDS–UPDRS. Conclusion: The RehaBEElitation serious game is an alternative tool for assessing the main motor symptoms of PD in an objective and entertaining way. The game is compatible with the mental models of the target audience, which allowed users to easily interact with the developed system. In general, the EG participants in the OFF state showed increased bradykinesia and tremor compared to the ON state.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorTese (Doutorado)Introduction: Parkinson’s disease (PD) is a neurological disorder that affects body movements and causes symptoms such as bradykinesia and tremor. Bradykinesia, characterised as slowness of movement, is the main motor symptom of PD; while tremor, a rhythmic and involuntary oscillatory movement of a body part, is usually the first and the most troublesome motor symptom of the disease. Currently, Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS–UPDRS) is the most widely used clinical scale for assessing both symptoms. However, this type of assessment has limitations, such as subjectivity and dependence on experienced assessors. These problems can be overcome with the use of inertial sensors for objective measurements of movement, incorporated, for example, in control devices for serious games (SGs), increasingly promising tools for rehabilitation and movement assessment. Objectives: To develop a serious game with high usability and accessibility to individuals with PD, and, by using the signals recorded from the movements made during the game, to objectively assess bradykinesia and tremor. Methods: First, a literature review was carried out to identify existing technologies related to games for individuals with PD. Subsequently, a questionnaire was developed to assess multidimensional aspects of patients and guide the development of the game. Based on this research, a serious game about bees, so-called RehaBEElitation, was designed in Unity 3D. The game presents four phases, each one representing a bee’s task in the real world. The user has to control the movements of a bee in a 3D environment, executing the same movements found in the MDS–UPDRS. Fifteen individuals with PD and fifteen healthy individuals interacted with the game, constituting the experimental group (EG) and the control group (CG), respectively, with matched ages and sexes. Data was collected in the ON and OFF states of the medication for the EG. The usability of the game was assessed using the Nielsen-Shneiderman heuristics and user-centred approaches (evaluation questionnaires and semi-structured interview); and the accessibility, using the performance (scores) of the players in each phase. Bradykinesia was evaluated by detecting the trend of the gyroscope signals using Singular Spectrum Analysis (SSA), a time series decomposition method. The response time (RT) and angular velocity (AV) of the participants while playing RehaBEElitation were then estimated. Tremor was detected by removing the trend from the original signal and assessed by estimating the mean absolute value (MAV), root mean square (RMS) and power spectral density (PSD) of the gyroscope signals. In game usability evaluation, the paired-samples t-test and Wilcoxon test were used to confirm differences for questionnaire responses before and after game improvements. While assessing game accessibility and bradykinesia, one-way analysis of variance (ANOVA), t-test with Bonferroni correction, Kruskal-Wallis test and Wilcoxon test with Bonferroni correction were used to confirm the differences between groups. Results and Discussion: The heuristic evaluation contemplated all the 14 heuristics proposed by Shneiderman, which allowed the implementation of improvements in the game. The questionnaires and the semi-structured interview also contributed to improve the usability of the game. The accessibility evaluation revealed no statistically significant differences (p<0.05) between groups, except for the healthy group and the PD group in both states of medication during Phase 3. In bradykinesia assessment, significant differences were found between groups for all comparisons (p<0.05). In most phases, CG participants obtained the best results for RT and AV, followed by EG in the ON state and EG in the OFF state. Regarding tremor, the probability that the peak frequencies of the PD–OFF signals fall within the frequency range of Parkinson’s tremor (4-7 Hz) was higher than for the PD–ON group, which in turn was higher than for CG. For both MAV and RMS, the chance that the distribution having a bimodal aspect, which represents the presence of PD tremor, was higher for the EG in the ON and OFF states than for the CG. The PD–OFF group had the highest probability of having the highest peak power in the signal than the other groups. In summary, MAV and RMS showed strong correlation with MDS–UPDRS. Conclusion: The RehaBEElitation serious game is an alternative tool for assessing the main motor symptoms of PD in an objective and entertaining way. The game is compatible with the mental models of the target audience, which allowed users to easily interact with the developed system. In general, the EG participants in the OFF state showed increased bradykinesia and tremor compared to the ON state.2026-02-16Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia BiomédicaPereira, Adriano Alveshttp://lattes.cnpq.br/7340105957340705Andrade, Adriano de Oliveirahttp://lattes.cnpq.br/1229329519982110Morère, YannLamounier Júnior, Edgard Afonsohttp://lattes.cnpq.br/5870097378411046Santos, Thiago Ribeiro Teles doshttp://lattes.cnpq.br/8122306011016243Walter, SteffenCabestaing, FrançoisMendes, Luanne Cardoso2024-02-19T12:29:11Z2024-02-19T12:29:11Z2024-01-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfMENDES, Luanne Cardoso. Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease. 2024. 163 f. Tese (Doutorado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2024. DOI http://doi.org/10.14393/ufu.te.2024.30.https://repositorio.ufu.br/handle/123456789/41189http://doi.org/10.14393/ufu.te.2024.30enghttp://creativecommons.org/licenses/by-nc-nd/3.0/us/info:eu-repo/semantics/embargoedAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2024-02-26T17:16:31Zoai:repositorio.ufu.br:123456789/41189Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2024-02-26T17:16:31Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
Desenvolvimento e validação de um jogo sério para reabilitação e monitoramento de indivíduos com a doença de Parkinson
title Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
spellingShingle Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
Mendes, Luanne Cardoso
Parkinson’s disease
Bradykinesia
Tremor
Objective evaluation
Serious game
CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA
Engenharia biomédica
ODS::ODS 3. Saúde e bem-estar - Assegurar uma vida saudável e promover o bem-estar para todos, em todas as idades.
title_short Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
title_full Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
title_fullStr Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
title_full_unstemmed Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
title_sort Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease
author Mendes, Luanne Cardoso
author_facet Mendes, Luanne Cardoso
author_role author
dc.contributor.none.fl_str_mv Pereira, Adriano Alves
http://lattes.cnpq.br/7340105957340705
Andrade, Adriano de Oliveira
http://lattes.cnpq.br/1229329519982110
Morère, Yann
Lamounier Júnior, Edgard Afonso
http://lattes.cnpq.br/5870097378411046
Santos, Thiago Ribeiro Teles dos
http://lattes.cnpq.br/8122306011016243
Walter, Steffen
Cabestaing, François
dc.contributor.author.fl_str_mv Mendes, Luanne Cardoso
dc.subject.por.fl_str_mv Parkinson’s disease
Bradykinesia
Tremor
Objective evaluation
Serious game
CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA
Engenharia biomédica
ODS::ODS 3. Saúde e bem-estar - Assegurar uma vida saudável e promover o bem-estar para todos, em todas as idades.
topic Parkinson’s disease
Bradykinesia
Tremor
Objective evaluation
Serious game
CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA
Engenharia biomédica
ODS::ODS 3. Saúde e bem-estar - Assegurar uma vida saudável e promover o bem-estar para todos, em todas as idades.
description Introduction: Parkinson’s disease (PD) is a neurological disorder that affects body movements and causes symptoms such as bradykinesia and tremor. Bradykinesia, characterised as slowness of movement, is the main motor symptom of PD; while tremor, a rhythmic and involuntary oscillatory movement of a body part, is usually the first and the most troublesome motor symptom of the disease. Currently, Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS–UPDRS) is the most widely used clinical scale for assessing both symptoms. However, this type of assessment has limitations, such as subjectivity and dependence on experienced assessors. These problems can be overcome with the use of inertial sensors for objective measurements of movement, incorporated, for example, in control devices for serious games (SGs), increasingly promising tools for rehabilitation and movement assessment. Objectives: To develop a serious game with high usability and accessibility to individuals with PD, and, by using the signals recorded from the movements made during the game, to objectively assess bradykinesia and tremor. Methods: First, a literature review was carried out to identify existing technologies related to games for individuals with PD. Subsequently, a questionnaire was developed to assess multidimensional aspects of patients and guide the development of the game. Based on this research, a serious game about bees, so-called RehaBEElitation, was designed in Unity 3D. The game presents four phases, each one representing a bee’s task in the real world. The user has to control the movements of a bee in a 3D environment, executing the same movements found in the MDS–UPDRS. Fifteen individuals with PD and fifteen healthy individuals interacted with the game, constituting the experimental group (EG) and the control group (CG), respectively, with matched ages and sexes. Data was collected in the ON and OFF states of the medication for the EG. The usability of the game was assessed using the Nielsen-Shneiderman heuristics and user-centred approaches (evaluation questionnaires and semi-structured interview); and the accessibility, using the performance (scores) of the players in each phase. Bradykinesia was evaluated by detecting the trend of the gyroscope signals using Singular Spectrum Analysis (SSA), a time series decomposition method. The response time (RT) and angular velocity (AV) of the participants while playing RehaBEElitation were then estimated. Tremor was detected by removing the trend from the original signal and assessed by estimating the mean absolute value (MAV), root mean square (RMS) and power spectral density (PSD) of the gyroscope signals. In game usability evaluation, the paired-samples t-test and Wilcoxon test were used to confirm differences for questionnaire responses before and after game improvements. While assessing game accessibility and bradykinesia, one-way analysis of variance (ANOVA), t-test with Bonferroni correction, Kruskal-Wallis test and Wilcoxon test with Bonferroni correction were used to confirm the differences between groups. Results and Discussion: The heuristic evaluation contemplated all the 14 heuristics proposed by Shneiderman, which allowed the implementation of improvements in the game. The questionnaires and the semi-structured interview also contributed to improve the usability of the game. The accessibility evaluation revealed no statistically significant differences (p<0.05) between groups, except for the healthy group and the PD group in both states of medication during Phase 3. In bradykinesia assessment, significant differences were found between groups for all comparisons (p<0.05). In most phases, CG participants obtained the best results for RT and AV, followed by EG in the ON state and EG in the OFF state. Regarding tremor, the probability that the peak frequencies of the PD–OFF signals fall within the frequency range of Parkinson’s tremor (4-7 Hz) was higher than for the PD–ON group, which in turn was higher than for CG. For both MAV and RMS, the chance that the distribution having a bimodal aspect, which represents the presence of PD tremor, was higher for the EG in the ON and OFF states than for the CG. The PD–OFF group had the highest probability of having the highest peak power in the signal than the other groups. In summary, MAV and RMS showed strong correlation with MDS–UPDRS. Conclusion: The RehaBEElitation serious game is an alternative tool for assessing the main motor symptoms of PD in an objective and entertaining way. The game is compatible with the mental models of the target audience, which allowed users to easily interact with the developed system. In general, the EG participants in the OFF state showed increased bradykinesia and tremor compared to the ON state.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-19T12:29:11Z
2024-02-19T12:29:11Z
2024-01-22
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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status_str publishedVersion
dc.identifier.uri.fl_str_mv MENDES, Luanne Cardoso. Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease. 2024. 163 f. Tese (Doutorado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2024. DOI http://doi.org/10.14393/ufu.te.2024.30.
https://repositorio.ufu.br/handle/123456789/41189
http://doi.org/10.14393/ufu.te.2024.30
identifier_str_mv MENDES, Luanne Cardoso. Design and validation of a serious game for rehabilitation and monitoring of individuals with Parkinson’s disease. 2024. 163 f. Tese (Doutorado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2024. DOI http://doi.org/10.14393/ufu.te.2024.30.
url https://repositorio.ufu.br/handle/123456789/41189
http://doi.org/10.14393/ufu.te.2024.30
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dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Biomédica
publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Biomédica
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