The Role of Wearable Devices in Multiple Sclerosis

Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-mi...

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Vydané v:Multiple sclerosis international Ročník 2018; číslo 2018; s. 1 - 7
Hlavní autori: Tedeschi, Gioacchino, Conforti, Renata, Lavorgna, Luigi, Sparaco, Maddalena, Bonavita, Simona
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
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Abstract Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-minute walk test, the 6-minute walk test, the Timed 25-Foot Walk Test, the Timed Up and Go Test, and the Six Spot Step Test) could be used. However, some studies point out that the results of both performance-based tests and objective measures (i.e., by accelerometer) could not reflect patient reports of walking performance and impact of MS on daily life. This review analyses different motion sensors embedded in smartphones and motion wearable device (MWD) that can be useful to measure free-living walking behavior, to evaluate falls, fatigue, sedentary lifestyle, exercise, and quality of sleep in everyday life of pwMS. Caveats and limitations of MWD such as variable accuracy, user adherence, power consumption and recharging, noise susceptibility, and data management are discussed as well.
AbstractList Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-minute walk test, the 6-minute walk test, the Timed 25-Foot Walk Test, the Timed Up and Go Test, and the Six Spot Step Test) could be used. However, some studies point out that the results of both performancebased tests and objective measures (i.e., by accelerometer) could not reflect patient reports of walking performance and impact of MS on daily life. This review analyses different motion sensors embedded in smartphones and motion wearable device (MWD) that can be useful to measure free-living walking behavior, to evaluate falls, fatigue, sedentary lifestyle, exercise, and quality of sleep in everyday life of pwMS. Caveats and limitations of MWD such as variable accuracy, user adherence, power consumption and recharging, noise susceptibility, and data management are discussed as well.
Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-minute walk test, the 6-minute walk test, the Timed 25-Foot Walk Test, the Timed Up and Go Test, and the Six Spot Step Test) could be used. However, some studies point out that the results of both performance-based tests and objective measures (i.e., by accelerometer) could not reflect patient reports of walking performance and impact of MS on daily life. This review analyses different motion sensors embedded in smartphones and motion wearable device (MWD) that can be useful to measure free-living walking behavior, to evaluate falls, fatigue, sedentary lifestyle, exercise, and quality of sleep in everyday life of pwMS. Caveats and limitations of MWD such as variable accuracy, user adherence, power consumption and recharging, noise susceptibility, and data management are discussed as well.Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-minute walk test, the 6-minute walk test, the Timed 25-Foot Walk Test, the Timed Up and Go Test, and the Six Spot Step Test) could be used. However, some studies point out that the results of both performance-based tests and objective measures (i.e., by accelerometer) could not reflect patient reports of walking performance and impact of MS on daily life. This review analyses different motion sensors embedded in smartphones and motion wearable device (MWD) that can be useful to measure free-living walking behavior, to evaluate falls, fatigue, sedentary lifestyle, exercise, and quality of sleep in everyday life of pwMS. Caveats and limitations of MWD such as variable accuracy, user adherence, power consumption and recharging, noise susceptibility, and data management are discussed as well.
Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-minute walk test, the 6-minute walk test, the Timed 25-Foot Walk Test, the Timed Up and Go Test, and the Six Spot Step Test) could be used. However, some studies point out that the results of both performance-based tests and objective measures (i.e., by accelerometer) could not reflect patient reports of walking performance and impact of MS on daily life. This review analyses different motion sensors embedded in smartphones and motion wearable device (MWD) that can be useful to measure free-living walking behavior, to evaluate falls, fatigue, sedentary lifestyle, exercise, and quality of sleep in everyday life of pwMS. Caveats and limitations of MWD such as variable accuracy, user adherence, power consumption and recharging, noise susceptibility, and data management are discussed as well.
Audience Academic
Author Tedeschi, Gioacchino
Conforti, Renata
Lavorgna, Luigi
Sparaco, Maddalena
Bonavita, Simona
AuthorAffiliation 3 MRI Research Center SUN-FISM, University of Campania “Luigi Vanvitelli”, Naples, Italy
4 Institute for Diagnosis and Care “Hermitage Capodimonte”, Naples, Italy
1 1st Clinic of Neurology, University of Campania “Luigi Vanvitelli”, Piazza Miraglia, 2, 80138 Naples, Italy
2 Neuroradiology Service, Department of Radiology, University of Campania “Luigi Vanvitelli”, C/o CTO Viale dei Colli Aminei 21, Naples, Italy
AuthorAffiliation_xml – name: 1 1st Clinic of Neurology, University of Campania “Luigi Vanvitelli”, Piazza Miraglia, 2, 80138 Naples, Italy
– name: 3 MRI Research Center SUN-FISM, University of Campania “Luigi Vanvitelli”, Naples, Italy
– name: 2 Neuroradiology Service, Department of Radiology, University of Campania “Luigi Vanvitelli”, C/o CTO Viale dei Colli Aminei 21, Naples, Italy
– name: 4 Institute for Diagnosis and Care “Hermitage Capodimonte”, Naples, Italy
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  fullname: Bonavita, Simona
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30405913$$D View this record in MEDLINE/PubMed
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Copyright Copyright © 2018 Maddalena Sparaco et al.
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– notice: Copyright © 2018 Maddalena Sparaco et al. 2018
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Snippet Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated...
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SubjectTerms Accelerometers
Disease
Exercise tests
Falls
Gait
Information management
Multiple sclerosis
Quality of life
Review
Sensors
Smartphones
Spasticity
Type 2 diabetes
Walking
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Title The Role of Wearable Devices in Multiple Sclerosis
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https://dx.doi.org/10.1155/2018/7627643
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Volume 2018
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