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Abstract— Wireless health monitoring systems are becoming increasingly important with the development of new medical systems that require increased mobility and faster data rates. Ultra wideband (UWB) communication is becoming one of the most prevailing technologies that can accommodate some of the most critical requirements of a medical communication system. Since UWB has limited range capabilities due to the low signal power constrain by the spectral mask, performance could be impaired dramatically due to the interference that may exist in a medical environment such as an operating room. In this paper, we investigate a UWB communication system with simple Hadamard coding at the transmitter and energy detection at the receiver. The resulting system can be extremely compact and energy-efficient, making it suitable for implantable devices. We show simulation and analysis results with the proposed system in this paper.

Index Terms— Wireless health, Ultra wideband radio, Noncoherent detection and Hadamard coding.

I. INTRODUCTION

here are several medical applications that can be implemented using the new wireless technologies. Many medical conditions can benefit from the optimization of safe wireless communication systems. An example is monitoring the condition of a patient remotely, which may entail large amounts of data that may need to be transmitted in real time while maintaining information accuracy and precision. Other medical devices such as implantable devices and other applications such as chronic disease management, wellness and preventative medicine and telemedicine may benefit from the concepts presented in this paper.

Fig. 1, shows a relative comparison of several wireless standards that may fit to be used for medical applications, the figure shows the data rate capability range of each standard versus the possible relative operation range. The operation range becomes an obstacle for medical device communication, since it can impair the mobility of the device and may result in a reduction in the possible data rate.

Authors are with the College of Engineering, San Diego State University, San Diego, CA 92182, USA, Email: [email protected], {msarkar2, snagaraj, kmoon}@mail.sdsu.edu

This work has been funded by National Science Foundation – Engineering Research Center (NSF-ERC).

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There are several wireless technologies currently being used for wireless medical applications, those may include but not limited to, Bluetooth, Zigbee, and WiFi. Those technologies suffer from limited bandwidth, but can potentially provide various transmission ranges. UWB offers the luxury of high data rate transmission at the expense of a somewhat constrained range. A more detailed comparison between the various technologies can be found in [5]. Table I, shows a list of some common wireless technologies that can be used for wireless medical applications.

Table I: Potential Wireless Technologies for medical applications

Wireless Technology

Frequency Band

Data Rate Transmitted Power

WLAN (802.11b/g)

2.4 GHz > 11 Mbps 250 mW IEEE

802.15.1 (Bluetooth)

2.4 GHz 1 Mbps 20 dBm

IEEE 802.15.4 (Zigbee)

2.4 GHz 250 kbps 0 dBm

UWB 3.1 – 10.6

GHz

27.24 Mbps -41 dBm

Some of the medical applications that may benefit from wireless radio technologies include: wireless ECG/EKG and respiratory information Systems, for patients with heart stroke risks; Accelerometer, Gyroscope and Electromyogram (EMG) sensor systems for monitoring patients with strokes; wearable BAN systems that collect vital sign and bio signals and transmission over a high speed phone link such as 4G LTE; wireless physiological sensors for implantable applications, for monitoring heart and prosthetic limb functions over a long period of time; some other applications may include monitoring blood pressure and weight, automatic emergency communications, and monitoring locations of equipment, doctors and patient via wireless links.

UWB operates over a safe wireless band and it offers a number of major benefits that makes it most desirable over other technologies for the very low power consumption required for data transmission which helps in extending battery life of the transmitting device (wearable or implantable), also it has low interference effect on the other wireless systems in use in medical centers, and it offers high data rate to achieve the appropriate level of resolution required for physiological signals.

Ultra Wideband Transceiver Design for Compact

and Implantable Medical Devices

Faris Rassam, Mahasweta Sarkar, Santosh Nagaraj and Kee Moon

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[1]

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Fig 9

n this paper, w em that is w smitter is mad use of Hadam loying energy pted to differen gn can be ver d in several ap

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V. POSSIBL

here are man ple type of co ical field and er mobility, pr lement any do n implemente More work is ulated results ible signal t ronments whe nother possib R estimation th n SNR drops coding method e at low SNR.

his work has earch Center go State Unive

Bernard Sklar, Applications” 2n Glenn Weeks, P Radi, J. Townsen Sinit Vitavasir Algorithms and D Xingxin (Grace)

Coding, Rich Yao

9: Received X-ray

IV. CONC

we proposed a well suited fo de extremely s mard codes. Th y detection. nt data rates a ry compact an pplications th

We showed per.

LE APPLICATIO

ny application oding that can d yield highe rovided that t oes not requi d at the transm

required in o in this pap o noise ratio ere UWB syst ble enhancem hat can have th

below a certa d to a differen

ACKNOWLE

been support (ERC) on Se ersity.

REFERE “Digital Com nd ed., Prentice H Performance of H nd, James Freebe ri, A non-coh Digital Implemen ) Gao, Multi-Ba o, Zhenming Fen

y image (with co

CLUSIONS

a novel UWB or medical ap simple and po he receiver is The system and reliabilitie

nd power-effi hat require sm simulation r

ONS AND FUTU

ns that can m n enhance UW er data rate c

this type of co red a big dea mitting device order imperia per, and for o for UWB tems can be us ment that can he system run ain threshold nt one to yield

EDGMENT

ted by the N ensorimotor S

ENCES mmunications, F Hall P T R, 2008, c Hard Decision De

ersyser,1999. herent Ultra-Wi ntation, MIT, 200

and UWB system ng, 2003.

ding)

communicati pplications. T ower efficient made simple can easily es. The resulti ficient. It can mall implantab results with th

URE WORK

make use of th WB usage in t

capabilities w oding is easy al of processi e.

ally validate t evaluating t signals for t sed.

be done is n without codi or even chan d better Bit Err

NSF Engineeri Systems at S

Fundamentals a ch 6.

etection for Impu

ideband Receiv 07.

m with Hadama

ion The by by be ing be ble his

his the with to ing the the the by ing nge ror

ing San

and

ulse

ver:

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[5] Jin-Shyan Lee, A comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi, Yu-Wei Su, Chung-Chou Shen, 2007.

[6] Jee-Hey Lee, Improved Performance of Soft Decision Decoding for DCM in MB-OFDM system, Myung-Sun Baek, Hyoung-Kyu Song, 2008.

[7] Asawari Chinchanikar, Overview:MB-OFDM UWB System, RS Kawitkar, VSRD International Journal of Electrical, Electronics and Communication Engineering, VSRD-IJEECE, vol.2 (6), 2012, 314-321.

[8] Julien Ryckaert1, Ultra-WideBand Transmitter for Wireless Body Area Networks, Claude Desset, Vincent de Heyn, Mustafa Badaroglu, Piet Wambacq, Geert Van der Plas, Bart Van Poucke, IMEC. [9] Nazlı Guney, Capacity and Mutual Information of Soft and Hard

Decision Output M-ary PPM over UWB Channels, Hakan Delic, Fatih Alagoz, Bogazici University.

[10] Nadir.M.A.Aziz, Performance of UWB Signals with Different Transmission and Reception Schemes in Multipath Channels, Sh.Shaaban, Kh.El-Shennawy, Arab Academy for Science & Technology and Maritime Transport, and Alexandria University, Egypt.

[11] Jae Ho Hwang, The Spectrum Sensing Algorithm Using the Soft Decision Algorithm in Cognitive UWB System, Jong Seok Park, Jae Moung Kim.

[12] Benoıt Miscopein, Multipath Decision Fusion for Low Complexity UWB-IR Non-Coherent Receivers, Jean Schwoerer, Orange LABS, Jean-Marie Gorce, University of Lyon.

Figure

Table I: Potential Wireless Technologies for medical applications
Fig 1:  A Dataa rate vs. Range CComparison of W Wireless Standardss.
Fig 4: UWB BBit Error Rate Graaph for coded andd un-coded data
Fig 7: Original TTransmitted X-rayy image.

References

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