IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room.

The work environment for medical imaging such as distractions, ergonomics, distance, temperature, humidity, and lighting conditions generates a paucity of data and is difficult to analyze. The emergence of Internet of Things (IoT) with decreasing cost of single-board computers like Raspberry Pi make...

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Publicado en:Journal of Digital Imaging Vol. 31; no. 3; pp. 371 - 379
Autores principales: Chen, Po-Hao, Cross, Nathan
Formato: equations & formulas pictorial tables/charts Journal Article
Publicado: Springer Nature Jun2018
Acceso en línea:Ver este registro en EBSCOhost
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        atl: IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room.
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          Chen, Po-Hao
          Cross, Nathan
        affil: Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, 19104, Philadelphia, PA, USA
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          Internet of Things
          Diagnostic Imaging
          Automation
          Telephone
          Computer Hardware
      ab: The work environment for medical imaging such as distractions, ergonomics, distance, temperature, humidity, and lighting conditions generates a paucity of data and is difficult to analyze. The emergence of Internet of Things (IoT) with decreasing cost of single-board computers like Raspberry Pi makes creating customized hardware to collect data from the clinical environment within the reach of a clinical imaging informaticist. This article will walk the reader through a series of basic project using a variety sensors and devices in conjunction with a Pi to gather data, culminating in a complex example designed to automatically detect and log telephone calls.
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