Smartphone applications for Movement Disorders: Towards collaboration and re-use

被引:9
作者
Willemse, Ilse H. J. [1 ,5 ]
Schootemeijer, Sabine [1 ]
van den Bergh, Robin [1 ]
Dawes, Helen [2 ]
Nonnekes, Jorik H. [3 ,4 ]
van de Warrenburg, Bart P. C. [1 ]
机构
[1] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Ctr Expertise Parkinson & Movement Disorders, Neurol,Med Ctr, Nijmegen, Netherlands
[2] Univ Exeter, Fac Hlth & Life Sci, Med Sch, NIHR Exeter BRC, Exeter, England
[3] Radboud Univ Nijmegen, Med Ctr, Ctr Expertise Parkinson & Movement Disorders, Donders Inst Brain Cognit & Behav,Rehabil, Nijmegen, Netherlands
[4] Dept Rehabil, Sint Maartenskliniek, Nijmegen, Netherlands
[5] Radboud Univ Nijmegen, Ctr Expertise Parkinson & Movement Disorders, Dept Neurol, Med Ctr, POB 9101, NL-6500 HB Nijmegen, Netherlands
关键词
Movement disorders; Smartphone; Mobile applications; Huntington disease; Parkinson disease; PARKINSONS-DISEASE; VALIDATION; DESIGN; PEOPLE; TREMOR;
D O I
10.1016/j.parkreldis.2023.105988
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Numerous smartphone and tablet applications (apps) are available to monitor movement disorders, but an overview of their purpose and stage of development is missing. Objectives: To systematically review published literature and classify smartphone and tablet apps with objective measurement capabilities for the diagnosis, monitoring, assessment, or treatment of movement disorders. Methods: We systematically searched for publications covering smartphone or tablet apps to monitor movement disorders until November 22nd, 2023. We reviewed the target population, measured domains, purpose, and technology readiness level (TRL) of the proposed app and checked their availability in common app stores. Results: We identified 113 apps. Most apps were developed for Parkinson's disease specifically (n = 82; 73%) or for movement disorders in general (n = 17; 15%). Apps were either designed to momentarily assess symptoms (n = 65; 58%), support treatment (n = 22; 19%), aid in diagnosis (n = 16; 14%), or passively track symptoms (n = 11; 10%). Commonly assessed domains across movement disorders included fine motor skills (n = 34; 30%), gait (n = 36; 32%), and tremor (n = 32; 28%) for the motor domain and cognition (n = 16; 14%) for the non-motor domain. Twenty-six (23%) apps were proof-of-concepts (TRL 1-3), while most apps were tested in a controlled setting (TRL 4-6; n = 63; 56%). Twenty-four apps were tested in their target setting (TRL 7-9) of which 10 were accessible in common app stores or as Android Package. Conclusions: The development of apps strongly gravitates towards Parkinson's disease and a selection of motor symptoms. Collaboration, re -use and further development of existing apps is encouraged to avoid reinventions of the wheel.
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页数:8
相关论文
共 58 条
[1]   Digital Technology in Movement Disorders: Updates, Applications, and Challenges [J].
Adams, Jamie L. ;
Lizarraga, Karlo J. ;
Waddell, Emma M. ;
Myers, Taylor L. ;
Jensen-Roberts, Stella ;
Modica, Joseph S. ;
Schneider, Ruth B. .
CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS, 2021, 21 (04)
[2]   Use of a Smartphone to Gather Parkinson's Disease Neurological Vital Signs during the COVID-19 Pandemic [J].
Alberts, Jay L. ;
Koop, Mandy Miller ;
McGinley, Marisa P. ;
Penko, Amanda L. ;
Fernandez, Hubert H. ;
Shook, Steven ;
Bermel, Robert A. ;
Machado, Andre ;
Rosenfeldt, Anson B. .
PARKINSONS DISEASE, 2021, 2021
[3]   An interactive videogame for arm and hand exercise in people with Parkinson's disease: A randomized controlled trial [J].
Allen, Natalie E. ;
Song, Jooeun ;
Paul, Serene S. ;
Smith, Stuart ;
O'Duffy, Jonathan ;
Schmidt, Matthew ;
Love, Rachelle ;
Sherrington, Catherine ;
Canning, Colleen G. .
PARKINSONISM & RELATED DISORDERS, 2017, 41 :66-72
[4]   Tremor Frequency Assessment by iPhone® Applications: Correlation with EMG Analysis [J].
Araujo, Rui ;
Tabuas-Pereira, Miguel ;
Almendra, Luciano ;
Ribeiro, Joana ;
Arenga, Marta ;
Negrao, Luis ;
Matos, Anabela ;
Morgadinho, Ana ;
Januario, Cristina .
JOURNAL OF PARKINSONS DISEASE, 2016, 6 (04) :717-721
[5]   Developing a smartphone application, triaxial accelerometer-based, to quantify static and dynamic balance deficits in patients with cerebellar ataxias [J].
Arcuria, Giuseppe ;
Marcotulli, Christian ;
Amuso, Raffaele ;
Dattilo, Giuliano ;
Galasso, Claudio ;
Pierelli, Francesco ;
Casali, Carlo .
JOURNAL OF NEUROLOGY, 2020, 267 (03) :625-639
[6]   15-White Dots APP-Coo-Test: a reliable touch-screen application for assessing upper limb movement impairment in patients with cerebellar ataxias [J].
Arcuria, Giuseppe ;
Marcotulli, Christian ;
Galasso, Claudio ;
Pierelli, Francesco ;
Casali, Carlo .
JOURNAL OF NEUROLOGY, 2019, 266 (07) :1611-1622
[7]  
Arias-Vergara T., 2017, Tsd, V10415, P371
[8]   Speed-Accuracy Testing on the Apple iPad® Provides a Quantitative Test of Upper Extremity Motor Performance in Children with Dystonia [J].
Bertucco, Matteo ;
Sanger, Terence D. .
JOURNAL OF CHILD NEUROLOGY, 2014, 29 (11) :1460-1466
[9]  
Bhatti D, 2017, MOV DISORD CLIN PRAC, V4, P852, DOI 10.1002/mdc3.12547
[10]   Feasibility of a Mobile-Based System for Unsupervised Monitoring in Parkinson's Disease [J].
Bouca-Machado, Raquel ;
Pona-Ferreira, Filipa ;
Leitao, Mariana ;
Clemente, Ana ;
Vila-Vicosa, Diogo ;
Kauppila, Linda Azevedo ;
Costa, Rui M. ;
Matias, Ricardo ;
Ferreira, Joaquim J. .
SENSORS, 2021, 21 (15)