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      Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review

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          Abstract

          The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing techniques, cheaper integrated circuits, and the development of connectivity technologies. In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring. Although we know the increasing importance of data processing techniques, our focus was on analyzing the implementation of sensors and biomedical applications. Although many themes overlap, we organized this review based on three groups: Sensors in Healthcare, Home Medical Assistance, and Continuous Health Monitoring; Systems and Sensors in Physical Rehabilitation; and Assistive Systems.

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          Glucose Sensing for Diabetes Monitoring: Recent Developments

          This review highlights recent advances towards non-invasive and continuous glucose monitoring devices, with a particular focus placed on monitoring glucose concentrations in alternative physiological fluids to blood.
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            Enhanced computer vision with Microsoft Kinect sensor: a review.

            With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor opens up new opportunities to solve fundamental problems in computer vision. This paper presents a comprehensive review of recent Kinect-based computer vision algorithms and applications. The reviewed approaches are classified according to the type of vision problems that can be addressed or enhanced by means of the Kinect sensor. The covered topics include preprocessing, object tracking and recognition, human activity analysis, hand gesture analysis, and indoor 3-D mapping. For each category of methods, we outline their main algorithmic contributions and summarize their advantages/differences compared to their RGB counterparts. Finally, we give an overview of the challenges in this field and future research trends. This paper is expected to serve as a tutorial and source of references for Kinect-based computer vision researchers.
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              Soft, stretchable, high power density electronic skin-based biofuel cells for scavenging energy from human sweat

              A soft, stretchable wearable biofuel cell producing ∼1 mW power from sweat is presented.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                22 July 2020
                August 2020
                : 20
                : 15
                : 4063
                Affiliations
                [1 ]Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology of Parana (UTFPR), Ponta Grossa (PR) 84016-210, Brazil; lucasnascimento@ 123456alunos.utfpr.edu.br (L.M.S.d.N.); bonfati@ 123456alunos.utfpr.edu.br (L.V.B.); melissa.1995@ 123456alunos.utfpr.edu.br (M.L.B.F.); hugosiqueira@ 123456utfpr.edu.br (H.V.S.)
                [2 ]Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI), Federal University of Technology of Parana (UTFPR), Curitiba (PR) 80230-901, Brazil; mendes.junior13@ 123456yahoo.com.br
                Author notes
                Author information
                https://orcid.org/0000-0002-1278-4602
                https://orcid.org/0000-0002-4783-5350
                Article
                sensors-20-04063
                10.3390/s20154063
                7436073
                32707749
                f91a79e4-625c-4b95-a9c2-dcb6c7370948
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 June 2020
                : 12 July 2020
                Categories
                Review

                Biomedical engineering
                sensors,systems,physical rehabilitation,e-health systems
                Biomedical engineering
                sensors, systems, physical rehabilitation, e-health systems

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