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...
| Published in: | Journal of Digital Imaging Vol. 31; no. 3; pp. 371 - 379 |
|---|---|
| Main Authors: | , |
| Format: | equations & formulas pictorial tables/charts Journal Article |
| Published: |
Springer Nature
Jun2018
|
| Online Access: | View this record in EBSCOhost |
| Summary: | 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. |
|---|