Using Smartphone Sensors for Ataxia Trials: Consensus Guidance by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers

被引:0
|
作者
Andrea H. Németh
Chrystalina A. Antoniades
Juergen Dukart
Martina Minnerop
Clara Rentz
Bart-Jan Schuman
Bart van de Warrenburg
Ilse Willemse
Enrico Bertini
Anoopum S. Gupta
Carlos Bandeira de Mello Monteiro
Hajar Almoajil
Lori Quinn
Susan B. Perlman
Fay Horak
Winfried Ilg
Andreas Traschütz
Adam P. Vogel
Helen Dawes
机构
[1] University of Oxford,Nuffield Department of Clinical Neurosciences
[2] Oxford University Hospitals NHS Foundation Trust,Oxford Centre for Genomic Medicine
[3] University of Oxford,Neurometrology Group, Nuffield Department of Clinical Neurosciences
[4] Brain & Behaviour (INM-7),Institute of Neuroscience and Medicine
[5] Research Centre Jülich,Institute of Systems Neuroscience
[6] Medical Faculty & University Hospital Düsseldorf,Institute of Clinical Neuroscience and Medical Psychology
[7] Heinrich Heine University Düsseldorf,Department of Neurology, Center for Movement Disorders and Neuromodulation
[8] Medical Faculty & University Hospital Düsseldorf,Department of Neurology
[9] Heinrich Heine University Düsseldorf,Donders Institute for Brain, Cognition and Behaviour
[10] Medical Faculty & University Hospital Düsseldorf,Unit of Neuromuscular and Neurodegenerative Disorders, Dept Neurosciences
[11] Heinrich Heine University Düsseldorf,Department of Neurology
[12] Institute of Neuroscience and Medicine,Faculty of Medicine
[13] (INM-1),School of Arts, Science and Humanities
[14] Research Centre Jülich,Physical Therapy Department, College of Applied Medical Sciences
[15] Friedreich Ataxie Förderverein E.V,Department of Biobehavioral Sciences
[16] Donders Institute for Brain,Department of Neurology
[17] Cognition,Section Computational Sensomotorics
[18] and Behaviour,Research Division “Translational Genomics of Neurodegenerative Diseases”, Hertie Institute for Clinical Brain Research and Center of Neurology
[19] Radboud University Medical Center,German Center for Neurodegenerative Diseases (DZNE)
[20] Radboud University Medical Center,Centre for Neuroscience of Speech
[21] Bambino Gesu’ Children’s Research Hospital,Division of Translational Genomics of Neurodegenerative Diseases
[22] IRCCS,Center for Neurology
[23] Massachusetts General Hospital and Harvard Medical School,NIHR Exeter Biomedical Research Centre, Medical School, Faculty of Health and Life Sciences, College of Medicine and Health
[24] University of São Paulo,undefined
[25] University of São Paulo,undefined
[26] Imam Abdulrahman Bin Faisal University,undefined
[27] Teachers College,undefined
[28] Columbia University,undefined
[29] University of California Los Angeles,undefined
[30] Oregon Health & Science University,undefined
[31] APDM Precision Motion,undefined
[32] Clario,undefined
[33] Hertie Institute for Clinical Brain Research,undefined
[34] Centre for Integrative Neuroscience (CIN),undefined
[35] University of Tübingen,undefined
[36] University of Tübingen,undefined
[37] The University of Melbourne,undefined
[38] Hertie Institute for Clinical Brain Research,undefined
[39] University of Tübingen,undefined
[40] University Hospital Tübingen,undefined
[41] Redenlab Inc,undefined
[42] St Lukes Campus,undefined
[43] University of Exeter,undefined
来源
The Cerebellum | 2024年 / 23卷
关键词
Ataxia; Internal smartphone Sensors; Digital motor performance outcome measures;
D O I
暂无
中图分类号
学科分类号
摘要
Smartphone sensors are used increasingly in the assessment of ataxias. To date, there is no specific consensus guidance regarding a priority set of smartphone sensor measurements, or standard assessment criteria that are appropriate for clinical trials. As part of the Ataxia Global Initiative Digital-Motor Biomarkers Working Group (AGI WG4), aimed at evaluating key ataxia clinical domains (gait/posture, upper limb, speech and oculomotor assessments), we provide consensus guidance for use of internal smartphone sensors to assess key domains. Guidance was developed by means of a literature review and a two stage Delphi study conducted by an Expert panel, which surveyed members of AGI WG4, representing clinical, research, industry and patient-led experts, and consensus meetings by the Expert panel to agree on standard criteria and map current literature to these criteria. Seven publications were identified that investigated ataxias using internal smartphone sensors. The Delphi 1 survey ascertained current practice, and systems in use or under development. Wide variations in smartphones sensor use for assessing ataxia were identified. The Delphi 2 survey identified seven measures that were strongly endorsed as priorities in assessing 3/4 domains, namely gait/posture, upper limb, and speech performance. The Expert panel recommended 15 standard criteria to be fulfilled in studies. Evaluation of current literature revealed that none of the studies met all criteria, with most being early-phase validation studies. Our guidance highlights the importance of consensus, identifies priority measures and standard criteria, and will encourage further research into the use of internal smartphone sensors to measure ataxia digital-motor biomarkers.
引用
收藏
页码:912 / 923
页数:11
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