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wilamowski-b-m-irwin-j-d-industrial-communication-systems-2011

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30-4 Industrial Communication Systems<br />

30.3 Localization<br />

Healthcare environments encompass human resources, such as physicians, nurses, medical staff, and<br />

equipment, that must be correctly managed to efficiently satisfy a given set of objectives. Resource localization<br />

is an important factor when evaluating management actions, since it provides information that allows<br />

the improvement of medical response times, which is of the utmost significance in life-critical scenarios.<br />

In addition, localization can potentially have a strong impact concerning security and safety in healthcare<br />

environments. Given that many hospital equipments are expensive and can be handheld, the possibility<br />

of theft can be avoided by having a real-time localization system tracking their localization and triggering<br />

an alarm when carried beyond a predefined physical area. Furthermore, in scenarios where patients must<br />

remain in a restricted area (the psychiatric ward or the neonatal ward of a hospital, for example), localization<br />

information is highly relevant as it hinders occurrences in which hospitals may be held accountable (violence,<br />

child kidnap, etc.). Regarding safety, in healthcare environments having patients with a high risk of<br />

brain injury and stroke (e.g., hospitals with elderly inpatients), localization can be of paramount importance,<br />

as it can shorten the medical response time and reduce the chances of irreversible physical impairments.<br />

Currently, four types of localization are available: direct identification, time acquisition, angle detection,<br />

and receiver signal strength (RSS). Direct identification simply detects if a tag is present/absent in<br />

the neighborhood, i.e., the result of a localization round is either true (present) or false (absent). Radiofrequency<br />

identification (RFID) [6] is the most common technology employed in this type of localization.<br />

Time acquisition localization, as the name suggests, is based on time measurements and includes<br />

techniques such as time of arrival (TOA) [7,10,11], time difference of arrival (TDOA) [8,11,12], and differential<br />

time difference of arrival (DTDOA) [9]. Angle detection includes the angle-of-arrival (AOA)<br />

localization technique [10–12] employing stations capable of determining the direction of propagation<br />

of a packet by using multiple receivers. RSS localization [10–12] is supported on the ability to measure<br />

the energy of a received packet, which provides a rough estimate of the traveled distance (if the transmission<br />

power is known). Several localization <strong>systems</strong> using these techniques have been proposed in the<br />

literature. However, only a few have become commercially available and can currently be used in real<br />

deployments. The following paragraphs provide an overview of such <strong>systems</strong>.<br />

The Exavera eShepherd• [13] system is supported on direct identification and was specifically<br />

designed targeting healthcare environments allowing the tracking of patients (Vera-T Bracelets), medical<br />

staff (Staff Badges), and objects (Asset Tags). Besides the RFID-enabled mobile devices (bracelets,<br />

badges, and tags), this system includes Vera-Fi devices (RFID reader plus Wi-Fi Access Point) and relay<br />

RFID transceivers (RRT), responsible for relaying data packets. Mobile devices periodically transmit<br />

RFID packets, which are received by neighbor Vera-Fi devices and transmitted (using Wi-Fi) to a hospital<br />

information system identifying the area where the “tag” is localized. The Exavera eShepherd localization<br />

system specifies an accuracy of 3.m (95th percentile, herein assumed as default).<br />

Ubisense [14] is a real-time localization solution with subsecond response and proven robustness in<br />

challenging manufacturing environments that employs a combination of the AOA and TDOA techniques.<br />

Although originally designed targeting <strong>industrial</strong> applications, it can also be applied in healthcare<br />

environments. The Ubisense system is composed of a network of sensors (Ubisensors)—a cell,<br />

mobile tags (Ubitags), and a Ubisense software platform (USP) running in a PC. The Ubisensors are<br />

equipped with UWB and RFID transceivers installed in known positions, connected by an Ethernet<br />

network. A Ubisensor simultaneously transmits a UWB impulse sequence and an RF message with its<br />

identification (ID). These messages will be received by the nearby fixed Ubisensors. Each cell has a single<br />

Ubisensor playing the role of the master, i.e., responsible for controlling the medium access using time<br />

division multiple access (TDMA). In addition to the received RF identification, Ubisensors determine<br />

the UWB impulse angle of arrival (and instant of reception) through the use of an array of antennas. The<br />

master Ubisensor calculates the TDOA for each Ubisensor relative to a given Ubitag and sends all data<br />

(ID, AOA, and TDOA) to the USP, which computes the Ubitag localization. This solution is particularly<br />

suited for scenarios requiring high accuracy (30.cm).<br />

© <strong>2011</strong> by Taylor and Francis Group, LLC

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