Pervasive Computing in Hospitals

Janet Meiling Wang-Roveda, Linda S Powers, Kui Ren

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations


This chapter examines the type of pervasive computing techniques in hospital environment. It introduces sensors and instruments used in the current hospitals. The chapter discusses the big data issue caused by real-time sensing and monitoring at the hospital. Cross platform comparison, data compression, and cloud computing are introduced in details to show how these new techniques can be applied to resolve the large data volume issue and data security issue for pervasive computing in hospitals. The chapter discusses the wearable medical devices, servers and local cloud, and their functionality and designs. The chapter describes popular contextual information-based software to demonstrate the cutting-edge temporal and spatiocoordinated resource management and personnel collaboration using advanced digital and mobile technologies. Privacy aware cloud-assisted healthcare monitoring system via compressive sensing (CS) is the state-of-the-art technique that intends to secure data with compression. The sensor can utilize the framework of CS to consolidate the sampling and compression via only linear measurements.

Original languageEnglish (US)
Title of host publicationWireless Computing in Medicine
Subtitle of host publicationFrom Nano to Cloud with Ethical and Legal Implications
Number of pages35
ISBN (Electronic)9781118993620
ISBN (Print)9781118993590
StatePublished - Jul 1 2016


  • Cloud computing
  • Compressive sensing
  • Data compression
  • Hospital environment
  • Pervasive computing techniques
  • Sensors
  • Wearable medical devices

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Engineering(all)


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