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      Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

      Author(s): , , , ,
      Publication date Created:
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      Journal: Biomedical Signal Processing and Control
      Publisher: Elsevier BV

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

          David Moher, Alessandro Liberati, Jennifer Tetzlaff … (2009)
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            Heart Disease and Stroke Statistics—2018 Update: A Report From the American Heart Association

            Emelia Benjamin, Salim S. Virani, Clifton Callaway … (2018)
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              The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons

              Diane Podsiadlo, Sandra Richardson (1991)
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                Author and article information

                Journal
                Title: Biomedical Signal Processing and Control
                Abbreviated Title: Biomedical Signal Processing and Control
                Publisher: Elsevier BV
                ISSN (Print): 17468094
                Publication date Created: January 2022
                Publication date (Print): January 2022
                Volume: 71
                Page: 103197
                Article
                DOI: 10.1016/j.bspc.2021.103197
                SO-VID: 1a096f7a-829f-4e35-acf2-ead6d8408a95
                Copyright statement: © 2022
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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                Self URI (article page): https://linkinghub.elsevier.com/retrieve/pii/S1746809421007941

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