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Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.

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第一作者： Robin,Kraft

第一单位： Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany.;Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany.

作者： Robin,Kraft ^[1] ; Ferdinand,Birk ^[2] ; Manfred,Reichert ^[2] ; Aniruddha,Deshpande ^[3] ; Winfried,Schlee ^[4] ; Berthold,Langguth ^[4] ; Harald,Baumeister ^[5] ; Thomas,Probst ^[6] ; Myra,Spiliopoulou ^[7] ; Rüdiger,Pryss ^[8]

作者单位： Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany.;Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany. ^[1] Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany. ^[2] Department of Speech-Language-Hearing Sciences, Hofstra University, Hempstead, NY 11549, USA. ^[3] Clinic and Policlinic for Psychiatry and Psychotherapy, University of Regensburg, 93053 Regensburg, Germany. ^[4] Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany. ^[5] Department for Psychotherapy and Biopsychosocial Health, Danube University Krems, 3500 Krems, Austria. ^[6] Department of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, 39106 Magdeburg, Germany. ^[7] Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany. ^[8]

关键词 architectural design cloud-native crowdsensing geospatial data mHealth scalability stream processing tinnitus

医学主题词数据收集(Data Collection);卫生保健提供(Delivery of Health Care);人类(Humans);远程医学(Telemedicine);耳鸣(Tinnitus)

DOI 10.3390/s20123456

PMID 32570953

发布时间 2021-03-17

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