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      Smart watches: A review of evolution in bio-medical sector

      , , , ,
      Materials Today: Proceedings
      Elsevier BV

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          Software survey: VOSviewer, a computer program for bibliometric mapping

          We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
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            Smart manufacturing: Past research, present findings, and future directions

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              Pre-symptomatic detection of COVID-19 from smartwatch data

              Consumer wearable devices that continuously measure vital signs have been used to monitor the onset of infectious disease. Here, we show that data from consumer smartwatches can be used for the pre-symptomatic detection of coronavirus disease 2019 (COVID-19). We analysed physiological and activity data from 32 individuals infected with COVID-19, identified from a cohort of nearly 5,300 participants, and found that 26 of them (81%) had alterations in their heart rate, number of daily steps or time asleep. Of the 25 cases of COVID-19 with detected physiological alterations for which we had symptom information, 22 were detected before (or at) symptom onset, with four cases detected at least nine days earlier. Using retrospective smartwatch data, we show that 63% of the COVID-19 cases could have been detected before symptom onset in real time via a two-tiered warning system based on the occurrence of extreme elevations in resting heart rate relative to the individual baseline. Our findings suggest that activity tracking and health monitoring via consumer wearable devices may be used for the large-scale, real-time detection of respiratory infections, often pre-symptomatically.
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                Author and article information

                Journal
                Materials Today: Proceedings
                Materials Today: Proceedings
                Elsevier BV
                22147853
                2022
                2022
                : 50
                : 1053-1066
                Article
                10.1016/j.matpr.2021.07.460
                3c664f9f-4d40-4bb5-bc42-4471c8650c81
                © 2022

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

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