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Communications in Medical Applications 30-9<br />

through multiple clothes. The architecture of the system comprises three sensor nodes that are placed<br />

on the inner wear and connected to each other through digital yarn (having conductivity). The sensor<br />

node signals are transmitted to the outer wear through the woven inductor channel, being supplied to<br />

a personal sensor controller that stores and processes the received information. This approach presents<br />

benefits as it reduces power consumption and enables over-the-air energy transmission, which allows<br />

a dramatic increase in sensor network autonomy. The authors claim a sensor power consumption of<br />

300.μW under a 3.3.V supply voltage (at 1.Mbps).<br />

The MICS/WMTS-based BAN described by Yuce and Ho [32] is a three-tiered <strong>communication</strong> system<br />

composed of sensor nodes, central control units (CCUs), a base station (composed of a CCU and<br />

a PC), and a server. The lowest tier includes sensor nodes that collect and forward data from inpatients<br />

(in bed) to a CCU using MICS technology. Then, the CCU conveys this data to the base station using<br />

WMTS technology (second tier). The received data are then transmitted to an external server using the<br />

internet (third tier). The MICS band is used for network <strong>communication</strong>s at the sensor level due to its<br />

low transmission power (25.μW) that enables high-sensor autonomy. Because the WMTS is allowed<br />

to operate with higher power transmissions (10.dBm ≤ transmit power < 1.8.dB), it is often applied in<br />

application scenarios where higher ranges are required (e.g., CCU <strong>communication</strong>s). The authors claim<br />

<strong>communication</strong>s without significant delays.<br />

30.5 automation<br />

Automation has found application in a broad range of scenarios going from <strong>industrial</strong> plants<br />

with assembly and transport robots, to smart homes adapted for patients with functional impairments,<br />

to healthcare institutions employing medical robots in surgery or in patient rehabilitation.<br />

Currently, it is playing an increasingly important role in healthcare <strong>systems</strong> as it improves<br />

efficiency, increases the quality of service, saves time and manpower, and supports the execution<br />

of dull (e.g., processing blood samples), dirty, or dangerous (e.g., handling chemical substances)<br />

tasks. The following subsections introduce two representative healthcare domains where automation<br />

is being effectively applied.<br />

30.5.1 Smart Homes<br />

The world population aged over 65 years is growing fast and it is expected to rise above 1490 million<br />

people by the year 2050 [1]. Dishman [33] identifies four requirements that should be addressed to cope<br />

with the current trends of elderly demographic increase: promote healthy behaviors, detect diseases<br />

at an early stage, improve treatment compliance, and provide support for informal caregiving. These<br />

requirements can be met by maintaining elderly (or impaired) people living in their homes [34], within<br />

their social network, and being assisted by automation <strong>systems</strong> that, besides helping them with the<br />

activities of daily living (ADLs), also monitor their health condition.<br />

Smart homes can be defined as dwellings incorporating a <strong>communication</strong> network that connects<br />

electrical appliances and services and allows them to be remotely controlled, monitored, and accessed [35].<br />

Smart home <strong>communication</strong> requirements are significantly distinctive from those of technologies<br />

addressing large buildings (e.g., BACnet, LON, and KNX/EIB) mainly in what concerns coverage area,<br />

number of supported devices, and per module cost. As such, technologies like X10, Z-Wave, and ZigBee<br />

were specifically developed targeting home networking.<br />

X10 [36] is an open and an international standard protocol for home <strong>communication</strong>s supporting<br />

two physical media: the house electrical network and the radio frequency. The <strong>communication</strong> of data<br />

employs brief radio frequency bursts (120.kHz signals) representing digital information, which are<br />

inserted immediately after the mains 50.Hz sine wave origin. This protocol defines no specific medium<br />

access mechanism, and to cope with high noise levels, a bit is always sent together with its complement,<br />

resulting in a transmission rate of one data bit per cycle of the electricity network.<br />

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

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