Literature Survey of Wireless Body Area Networks with a focus on Cardiac Sensor Networks

bumpedappleΚινητά – Ασύρματες Τεχνολογίες

21 Νοε 2013 (πριν από 3 χρόνια και 10 μήνες)

60 εμφανίσεις

Literature Survey of Wireless Body Area Networks with a focus on
Cardiac Sensor Networks


Wireless body
-
area network (WBAN) is a wireless
-
sensor network that incorporates different
networks and wireless devices to enable remote monitoring
of
the human
body functions

and the
surrounding environment
. A specialized form of WBAN is the Cardiac Sensor Network
that

is
dedic
ated to monitor heart condition parameters from sensors implanted on or inside the patient’s
body. This paper aims to provide an overview
of WBANs with a concentration towards C
ardiac
Sensor Networks
.
The paper will be divided in describing some of the most important aspects
like
network arch
itecture, signal processing,
data analysis, u
se of Ultra Wide Band (UWB)
,
Government issues and the

and implementation

challenges faced in such networks.


To
con
template the technology of the Cardiac Sensor N
etworks,

the working mechanism of a
prototype proposed in one of the papers would be elaborately explained [1].
This prototype is
chosen to be disc
ussed since it measures several physiological parameters within the constraints
of miniaturization, low power and designated bandwidth. The next section

would
provide
detailed description of
the network architecture

and
implementation
challenges

in WBANs
.
In

the papers related to network
designs [2
, 3
]
,
slightly
d
ifferent
approaches have been
adopted with
regard

to
system architectures,

protocols,

design layers

and integration of hardware and software

and m
y goal would be to provide a comparative
analysis

of these papers.

This would be followed
by

discussing the implementation issues

[
2
]

like power management, reliability, QoS, time
synchronization and energy efficiency
that
are crucial
to the design of WBANs.


Another important aspect of WBANs that is of recent research interests is the
integration of
mobility factor in sensors. Previously, body sensors used for medical purposes were not thought
to be as mobile. However, recent advancements have produced wearabl
e sensors whose data can
be significantly affected by motion and interference.
If time permits,
I would like to
analyze

different relevant data sets

(
e.g.

ECG,

EEG or BP)

through optimal simulation techniques with
an attempt to enhancing signal power over
noise in cardiac sensor networks.


The overall objective of this paper would be to render a comprehensive understanding of
WBANs: the system realiz
ation, constraints and potential solutions
.



References:

1.

Tsung
-
Che Chou, Nan
-
Fu Chiu, Fang
-
Ren Liao, Shey
-
Shi, “
A Multi Parameters Wearable Telemetric System for Cardio
-
Pulmonary Fitness of e
-
Health
”,

Proceedings of the 2005 IEEE

,
Engineering in Medicine and Biology 27th Annual Conference

Shanghai, China, September 1
-
4, 2005

2.

Ullah S,Higgins H,
braemb
,Latre
B,Blondia C,Moerman I,Saleem S,Rahman Z,Kwak K, “

A Comprehensive Survey of
Wireless Body Area NetworksOn PHY, MAC, and Network Layers Solutions
”,

LLC 2010, J Med Syst (2012) 36:1065

1094, ©
Springer Science+Business Media

3.

Otto C
,

Milenković A, S
anders

C , Jovanov E
, “
System Architecture Of A Wireless Body Area Sensor Network For Ubiquitous
Health Monitoring
,”

Journal Of Mobile Multimedia, Vol. 1, No.4 (2006) 307
-
326, © Rinton Press

4.

Cagalaban1 Giovanni, Soh Wooyoung, Kim Seoksoo, “
Devising an Optimal

Scheme for Wireless Sensors for Patient Report
Tracking and Monitoring in Ubiquitous Healthcare
”,

International Journal of Software Engineering and Its Applications Vol. 5
No. 4, October, 2011