@inProceedings{
 title = {Reliable Clinical Monitoring using Wireless Sensor Networks: Experiences in a Step-down Hospital Unit},
 type = {inProceedings},
 year = {2010},
 identifiers = {[object Object]},
 keywords = {clinical,experiences,implementation,monitor,monitoring,reading-group,sensor-network,summarized,trg,wireless,wsn},
 websites = {http://www.cse.wustl.edu/~lu/papers/sensys10.pdf},
 month = {11},
 id = {44474064-3ebd-3be8-a779-0ff2ee76fd16},
 created = {2018-07-12T21:31:43.069Z},
 file_attached = {false},
 profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
 group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
 last_modified = {2018-07-12T21:31:43.069Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {chipara:clinical},
 source_type = {inproceedings},
 notes = {They set up a mesh network of 802.15.4 nodes in a hospital in-patient setting. Then they attached motes (also using 802.15.14) via a serial cable to a pulse-ox sensor attached to the patients on the ward. The pulse-ox data was thus collected, across the network to a base station, where it was then available to nurses. They developed algorithms for detecting adverse events, and compared with hospital records(?). The paper discusses (a) the reliability of the network itself and (b) the reliability of the sensor readings they're getting, over a 7-month deployment with 41 patients. Reasonably interesting, though we were unconvinced about some of their arguments about why a custom 802.15.4 mesh was better than using the existing 802.11 network for data collection.},
 private_publication = {false},
 abstract = {This paper presents the design, deployment, and empirical study of a wireless clinical monitoring system that collects pulse and oxygen saturation readings from patients. The primary contribution of this paper is an in-depth clinical trial that assesses the feasibility of wireless sensor networks for patient monitoring in general hospital units. We present a detailed analysis of the system reliability from a long term hospital deployment over seven months involving 41 patients in a step-down cardiology unit. The network achieved high reliability (median 99.68%, range 95.21% -- 100%). The overall reliability of the system was dominated by sensing reliability of the pulse oximeters (median 80.85%, range 0.46% -- 97.69%). Sensing failures usually occurred in short bursts, although longer periods were also present due to sensor disconnections. We show that the sensing reliability could be significantly improved through oversampling and by implementing a disconnection alarm system that incurs minimal intervention cost. A retrospective data analysis indicated that the system provided sufficient temporal resolution to support the detection of clinical deterioration in three patients who suffered from significant clinical events including transfer to Intensive Care Units. These results indicate the feasibility and promise of using wireless sensor networks for continuous patient monitoring and clinical deterioration detection in general hospital units.},
 bibtype = {inProceedings},
 author = {Chipara, Octav and Lu, Chenyang and Bailey, Thomas C and Roman, Gruia-Catalin},
 booktitle = {Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys)}
}

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