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Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107
104 | P a g e
Modelling and measurement of a wireless foot plantar pressure
Khwaja Ramizuddin1
, Prof. S. P. Washimkar2
1, 2
(Department of Communication (Electronics), Priyadarshni College of Engineering, Nagpur
ABSTRACT
Foot plantar pressure is the pressure
fields that act between the foot skin and its
supporting surface that humans experience
during daily activities. Information derived from
such pressure is important for diagnosing lower
limb problems, footwear design, sport
biomechanics performance and injury
prevention. This paper presents the design and
implementation of a wireless data acquisition
(DAQ) for foot plantar pressure sensors. The
system is intended for an in-shoe wireless
pressure measurement system.
The objective of this DAQ is to be a system
which can be integrated into a shoe with the
ability of wireless transmission to an external on
body receiver. Such device provides low power
consumption, convenient and comfortable testing
system simulating a range of normal daily life
activities.
Key words –Foot plantar pressure, pressure sensor,
wireless system.
I. INTRODUCTION
The last two decades have witnessed an
explosion of interest in electronic devices and
microelectronic components in various fields of
application. Biomedical and Sport Biomechanics
research and their applications have benefited
enormously as a result of the microelectronic
development. There are many scientific literatures
addressing the use of microelectronic device system
for solving problems related to healthcare and sport.
One area that has attracted a fair bit of attention by
researchers from both biomedical and sport related
applications is the analysis of foot plantar pressure
distributions. In fact, the interface pressure between
foot plantar surface and shoe soles is one of several
key parameters frequently measured in
biomechanical research. Foot plantar pressure is
widely used in various applications, for example,
footwear design, sports performance analysis and
injury prevention, improvement in balance and
diagnosing lower limb diseases. Based on the
evidence, it could be said that it is crucial to devise
techniques capable of accurately and efficiently
measuring foot pressure.
The plantar pressure systems available in the market
or in research laboratories vary in sensor
configuration to meet different application needs.
Commonly, the configuration is divided into three
types: pressure platforms, imaging technologies
with image processing software and in-shoe
systems.
II. BACKGROUND SURVEY
Feet are the important segments of the
human body and they are the main form of
interaction with the environment during locomotion.
Thus, it is important to diagnose a foot problem at
an early stage for prevention, risk management and
well being. One way to determine one’s foot health
is by examining the foot plantar pressure. This
parameter is widely used in various applications.
Therefore, it is important that accurate and reliable
foot plantar pressure measurement system is
developed. One of the earlier applications of plantar
pressure was the evaluation of footwear. Lavery et
al. [2] in 1997 determined the effectiveness of
therapeutic and athletic shoes with and without
viscoelastic insoles using the mean peak plantar
pressure as the evaluation parameter. Since then
there have been many works undertaken applying
foot pressure measures for example, Mueller [3]
applied plantar pressure for the design of footwear
for people without impairments (i.e. the general
public). Other published works worth bringing up
are paper by Praet and Louwerens [4] and Queen et
al. [5]. Praet and Louwerens found that rocker
bottom shoes are the most effective method for
reducing the pressure underneath a neuropathic
forefoot. They claimed the rocker would decrease
pressure under the first and fifth ray (metatarsal
head), which are the locations where ulceration most
often occurs in patients with cavovarus deformity.
Queen et al. argued due to the differences in plantar
loading between men and women, that future shoe
design for the prevention of metatarsal stress
fractures should be gender specific. With regard to
applications involving disease diagnosis, many
researchers have focused on foot ulceration
problems due to diabetes and resulting excessive
foot plantar pressure. It is estimated diabetes
mellitus to cost over $1 billion per year worth of
medical expenses in the United State alone [6].
Diabetes is now considered an epidemic and the
number of patients is expected to increase from 171
million in 2000 to 366 million in 2030 [7]. In
addition, foot ulcer among the elderly is increasing
at an alarming rate, and the risk is further increased
by pathologies such as Alzheimer’s disease,
congestive heart failure, chronic obstructive
pulmonary disease, cerebral vascular accident,
diabetes mellitus, deep venous thrombosis, hip
Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107
105 | P a g e
fracture, hip surgery, limb paralysis, lower limb
oedema, malignancy, malnutrition, osteoporosis,
Parkinson’s disease,
rheumatoid arthritis, and urinary tract infection [8].
The improvement in balance is important
both in sports and biomedical applications. Notable
mentions for sports application are soccer balance
training [9] and forefoot loading during running
[10]. While for biomedical and healthcare areas, it
can relate to the gait instability in the elderly
community. Therefore, foot plantar pressure
information can be used for improvement of balance
among the elderly [11]. Based on the above
discussion, it could be said that it is crucial to devise
techniques capable of accurately and efficiently
measuring foot pressure for general purposes
application or specific ones.
III. PROPOSED WIRELESS DAQ
SYSTEM ARCHITECTURE
The proposed architecture is as shown in
the block diagram below. It consists of a transmitter
and receiver.
Transmitter part consists of a power supply
unit, microcontroller, Bluetooth, lcd and
accelerometer.
The power supply unit consists of a step down
transformer which will step down 230V ac to 0-9V.
This ac voltage is then rectified to dc by rectifier,
here we have used bridge rectifier. The output of the
rectifier is then filtered by a capacitor and then
regulated output is given to the microcontroller.
LCD is interfaced with microcontroller to
display the values of accelerometer sensor .There
are total four sensors which are connected to the
microcontroller. When the supply is ON the values
of the sensors are displayed on the LCD and then
transmitted to the receiver using Bluetooth.
Receiver part consists of a power supply unit,
Bluetooth , MAX 232 and RS232.
The power supply unit is same as the
transmitter. The output of the Bluetooth is given to
MAX 232 which is then displayed on pc using
RS232 port. First we need to open VB to initialize
the Bluetooth modules, once Bluetooth is initialized
then we open LABVIEW and after setting the COM
port we can see the output waveforms of the four
sensors as shown in the simulation results.
Fig 1 The Proposed block diagram
IV. IV SIMULATION RESULTS
Initialization of the Bluetooth modules
through visual basic by using AT
commands
Fig 2 Initialization Window
Fig 3 Window showing initial state of Sensors
Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107
106 | P a g e
Fig 4 Output waveform of sensor 1
Fig 5 Output waveform of sensor 2
Fig 6 Output waveform of sensor 3
Fig 7 Output waveform of sensor 4
V. HARDWARE IMPLEMENTATION
CONCLUSIONS
Fig 8 Receiver
Fig 9 Transmitter
VI. IV CONCLUSIONS
The design and implementation of a
wireless DAQ The system provides a good method
of measuring and displaying the foot planter
pressures using accelerometer Sensors. The system
was interfaced with Lab view and was used to
display the outputs of the sensors .With the help of
the blue tooth module it was possible to obtain the
data from the sensors .The system thus The system
Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107
107 | P a g e
can be improved further to get the data from the
sensors remotely in future.
REFERENCES
[1] Y. Wahab, A. Zayegh, R. K. Begg, and R.
Veljanovski, "Design of MEMS biomedical
pressure sensor for gait analysis," in IEEE
International Conference on emiconductor
Electronics, 2008.ICSE, 2008, pp. 166-169.
[2] L. Lavery, S. Vela, J. Fleishli, D.
Armstrong, and D. Lavery, "Reducing
plantar pressure in the neuropathic foot,"
Diabetes care, vol. 20, pp. 1706-10, 1997.
[3] Mueller, "Application of plantar pressure
assessment in footwear and insert design,"
The Journal of orthopaedic and sports
physical therapy, vol. 29, p. 747, 1999.
[4] S. Praet and J. Louwerens, "The influence
of shoe design on plantar pressures in
neuropathic feet," Diabetes care, vol. 26, p.
441, 2003.
[5] R. M. Queen, A. N. Abbey, J. I.
Wiegerinck, J. C. Yoder, and J. A. Nunley,
"Effect of shoe type on plantar pressure: A
gender comparison," Gait & Posture, vol.
31, pp. 18-22, 2010.
[6] "[Online]. Available:
http://www.cdc.gov/diabetes/."
[7] S. Wild, G. Roglic, A. Green, R. Sicree,
and H. King, "Global prevalence of
diabetes: estimates for the year 2000 and
projections for 2030," Diabetes care, vol.
27, p. 2569, 2004.
[8] D. J. Margolis, J. Knauss, W. Bilker, and
M. Baumgarten, "Medical conditions as
risk factors for pressure ulcers in an
outpatient setting," Age Ageing, vol. 32, pp.
259-264, May 1, 2003.
[9] A. Gioftsidou, P. Malliou, G. Pafis, A.
Beneka, G. Godolias, and C. Maganaris,
"The effects of soccer training and timing
of balance training on balance ability,"
European journal of applied physiology,
vol. 96, pp. 659-664, 2006.
[10] R. Queen, B. Haynes, W. Hardaker, and W.
Garrett, "Forefoot loading during 3 athletic
tasks," The American Journal of Sports
Medicine, vol. 35, p. 630, 2007.
[11] R. Best and R. Begg, "Overview of
movement analysis and gait features,"
Computational intelligence for movement
sciences: neural networks and other
emerging techniques, p. 1, 2006.
[12] A. H. A. Razak, A. Zayegh, R. K. Begg,
and A. Stojcevski, "Smart Wireless Foot
Plantar Pressure Measurement Systems," in
7th
Jordanian International Electrical and
Electronics Engineering Conference
(JIEEEC), 2011.
[13] L. Shu, T. Hua, Y. Wang, Q. Li, D. Feng,
and X. Tao, "In-Shoe Plantar Pressure
Measurement and Analysis System based
on Fabric Pressure Sensing Array," IEEE
transactions on information technology in
biomedicine: a publication of the IEEE
Engineering in Medicine and Biology
Society, 2009.
[14] G. Bonfini, A. S. Brogna, C. Garbossa, L.
Colombini, M. Bacci, S. Chicca, F.
Bigongiari, N. C. Guerrini, and G. Ferri,
"An ultralowpower switched opamp-based
10-B integrated ADC for implantable
biomedical applications," IEEE
Transactions on Circuits and Systems I:
Regular Papers, vol. 51, pp. 174-177,
2004.
[15] H. Hao-Chiao and L. Guo-Ming, "A 65-
fJ/Conversion-Step 0.9-V 200-kS/s Rail-to-
Rail 8-bit Successive Approximation
ADC," IEEE Journal of Solid-State
Circuits, vol. 42, pp. 2161-2168, 2007.

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  • 1. Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107 104 | P a g e Modelling and measurement of a wireless foot plantar pressure Khwaja Ramizuddin1 , Prof. S. P. Washimkar2 1, 2 (Department of Communication (Electronics), Priyadarshni College of Engineering, Nagpur ABSTRACT Foot plantar pressure is the pressure fields that act between the foot skin and its supporting surface that humans experience during daily activities. Information derived from such pressure is important for diagnosing lower limb problems, footwear design, sport biomechanics performance and injury prevention. This paper presents the design and implementation of a wireless data acquisition (DAQ) for foot plantar pressure sensors. The system is intended for an in-shoe wireless pressure measurement system. The objective of this DAQ is to be a system which can be integrated into a shoe with the ability of wireless transmission to an external on body receiver. Such device provides low power consumption, convenient and comfortable testing system simulating a range of normal daily life activities. Key words –Foot plantar pressure, pressure sensor, wireless system. I. INTRODUCTION The last two decades have witnessed an explosion of interest in electronic devices and microelectronic components in various fields of application. Biomedical and Sport Biomechanics research and their applications have benefited enormously as a result of the microelectronic development. There are many scientific literatures addressing the use of microelectronic device system for solving problems related to healthcare and sport. One area that has attracted a fair bit of attention by researchers from both biomedical and sport related applications is the analysis of foot plantar pressure distributions. In fact, the interface pressure between foot plantar surface and shoe soles is one of several key parameters frequently measured in biomechanical research. Foot plantar pressure is widely used in various applications, for example, footwear design, sports performance analysis and injury prevention, improvement in balance and diagnosing lower limb diseases. Based on the evidence, it could be said that it is crucial to devise techniques capable of accurately and efficiently measuring foot pressure. The plantar pressure systems available in the market or in research laboratories vary in sensor configuration to meet different application needs. Commonly, the configuration is divided into three types: pressure platforms, imaging technologies with image processing software and in-shoe systems. II. BACKGROUND SURVEY Feet are the important segments of the human body and they are the main form of interaction with the environment during locomotion. Thus, it is important to diagnose a foot problem at an early stage for prevention, risk management and well being. One way to determine one’s foot health is by examining the foot plantar pressure. This parameter is widely used in various applications. Therefore, it is important that accurate and reliable foot plantar pressure measurement system is developed. One of the earlier applications of plantar pressure was the evaluation of footwear. Lavery et al. [2] in 1997 determined the effectiveness of therapeutic and athletic shoes with and without viscoelastic insoles using the mean peak plantar pressure as the evaluation parameter. Since then there have been many works undertaken applying foot pressure measures for example, Mueller [3] applied plantar pressure for the design of footwear for people without impairments (i.e. the general public). Other published works worth bringing up are paper by Praet and Louwerens [4] and Queen et al. [5]. Praet and Louwerens found that rocker bottom shoes are the most effective method for reducing the pressure underneath a neuropathic forefoot. They claimed the rocker would decrease pressure under the first and fifth ray (metatarsal head), which are the locations where ulceration most often occurs in patients with cavovarus deformity. Queen et al. argued due to the differences in plantar loading between men and women, that future shoe design for the prevention of metatarsal stress fractures should be gender specific. With regard to applications involving disease diagnosis, many researchers have focused on foot ulceration problems due to diabetes and resulting excessive foot plantar pressure. It is estimated diabetes mellitus to cost over $1 billion per year worth of medical expenses in the United State alone [6]. Diabetes is now considered an epidemic and the number of patients is expected to increase from 171 million in 2000 to 366 million in 2030 [7]. In addition, foot ulcer among the elderly is increasing at an alarming rate, and the risk is further increased by pathologies such as Alzheimer’s disease, congestive heart failure, chronic obstructive pulmonary disease, cerebral vascular accident, diabetes mellitus, deep venous thrombosis, hip
  • 2. Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107 105 | P a g e fracture, hip surgery, limb paralysis, lower limb oedema, malignancy, malnutrition, osteoporosis, Parkinson’s disease, rheumatoid arthritis, and urinary tract infection [8]. The improvement in balance is important both in sports and biomedical applications. Notable mentions for sports application are soccer balance training [9] and forefoot loading during running [10]. While for biomedical and healthcare areas, it can relate to the gait instability in the elderly community. Therefore, foot plantar pressure information can be used for improvement of balance among the elderly [11]. Based on the above discussion, it could be said that it is crucial to devise techniques capable of accurately and efficiently measuring foot pressure for general purposes application or specific ones. III. PROPOSED WIRELESS DAQ SYSTEM ARCHITECTURE The proposed architecture is as shown in the block diagram below. It consists of a transmitter and receiver. Transmitter part consists of a power supply unit, microcontroller, Bluetooth, lcd and accelerometer. The power supply unit consists of a step down transformer which will step down 230V ac to 0-9V. This ac voltage is then rectified to dc by rectifier, here we have used bridge rectifier. The output of the rectifier is then filtered by a capacitor and then regulated output is given to the microcontroller. LCD is interfaced with microcontroller to display the values of accelerometer sensor .There are total four sensors which are connected to the microcontroller. When the supply is ON the values of the sensors are displayed on the LCD and then transmitted to the receiver using Bluetooth. Receiver part consists of a power supply unit, Bluetooth , MAX 232 and RS232. The power supply unit is same as the transmitter. The output of the Bluetooth is given to MAX 232 which is then displayed on pc using RS232 port. First we need to open VB to initialize the Bluetooth modules, once Bluetooth is initialized then we open LABVIEW and after setting the COM port we can see the output waveforms of the four sensors as shown in the simulation results. Fig 1 The Proposed block diagram IV. IV SIMULATION RESULTS Initialization of the Bluetooth modules through visual basic by using AT commands Fig 2 Initialization Window Fig 3 Window showing initial state of Sensors
  • 3. Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107 106 | P a g e Fig 4 Output waveform of sensor 1 Fig 5 Output waveform of sensor 2 Fig 6 Output waveform of sensor 3 Fig 7 Output waveform of sensor 4 V. HARDWARE IMPLEMENTATION CONCLUSIONS Fig 8 Receiver Fig 9 Transmitter VI. IV CONCLUSIONS The design and implementation of a wireless DAQ The system provides a good method of measuring and displaying the foot planter pressures using accelerometer Sensors. The system was interfaced with Lab view and was used to display the outputs of the sensors .With the help of the blue tooth module it was possible to obtain the data from the sensors .The system thus The system
  • 4. Khwaja Ramizuddin, Prof. S. P. Washimkar / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 104-107 107 | P a g e can be improved further to get the data from the sensors remotely in future. REFERENCES [1] Y. Wahab, A. Zayegh, R. K. Begg, and R. Veljanovski, "Design of MEMS biomedical pressure sensor for gait analysis," in IEEE International Conference on emiconductor Electronics, 2008.ICSE, 2008, pp. 166-169. [2] L. Lavery, S. Vela, J. Fleishli, D. Armstrong, and D. Lavery, "Reducing plantar pressure in the neuropathic foot," Diabetes care, vol. 20, pp. 1706-10, 1997. [3] Mueller, "Application of plantar pressure assessment in footwear and insert design," The Journal of orthopaedic and sports physical therapy, vol. 29, p. 747, 1999. [4] S. Praet and J. Louwerens, "The influence of shoe design on plantar pressures in neuropathic feet," Diabetes care, vol. 26, p. 441, 2003. [5] R. M. Queen, A. N. Abbey, J. I. Wiegerinck, J. C. Yoder, and J. A. Nunley, "Effect of shoe type on plantar pressure: A gender comparison," Gait & Posture, vol. 31, pp. 18-22, 2010. [6] "[Online]. Available: http://www.cdc.gov/diabetes/." [7] S. Wild, G. Roglic, A. Green, R. Sicree, and H. King, "Global prevalence of diabetes: estimates for the year 2000 and projections for 2030," Diabetes care, vol. 27, p. 2569, 2004. [8] D. J. Margolis, J. Knauss, W. Bilker, and M. Baumgarten, "Medical conditions as risk factors for pressure ulcers in an outpatient setting," Age Ageing, vol. 32, pp. 259-264, May 1, 2003. [9] A. Gioftsidou, P. Malliou, G. Pafis, A. Beneka, G. Godolias, and C. Maganaris, "The effects of soccer training and timing of balance training on balance ability," European journal of applied physiology, vol. 96, pp. 659-664, 2006. [10] R. Queen, B. Haynes, W. Hardaker, and W. Garrett, "Forefoot loading during 3 athletic tasks," The American Journal of Sports Medicine, vol. 35, p. 630, 2007. [11] R. Best and R. Begg, "Overview of movement analysis and gait features," Computational intelligence for movement sciences: neural networks and other emerging techniques, p. 1, 2006. [12] A. H. A. Razak, A. Zayegh, R. K. Begg, and A. Stojcevski, "Smart Wireless Foot Plantar Pressure Measurement Systems," in 7th Jordanian International Electrical and Electronics Engineering Conference (JIEEEC), 2011. [13] L. Shu, T. Hua, Y. Wang, Q. Li, D. Feng, and X. Tao, "In-Shoe Plantar Pressure Measurement and Analysis System based on Fabric Pressure Sensing Array," IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society, 2009. [14] G. Bonfini, A. S. Brogna, C. Garbossa, L. Colombini, M. Bacci, S. Chicca, F. Bigongiari, N. C. Guerrini, and G. Ferri, "An ultralowpower switched opamp-based 10-B integrated ADC for implantable biomedical applications," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 51, pp. 174-177, 2004. [15] H. Hao-Chiao and L. Guo-Ming, "A 65- fJ/Conversion-Step 0.9-V 200-kS/s Rail-to- Rail 8-bit Successive Approximation ADC," IEEE Journal of Solid-State Circuits, vol. 42, pp. 2161-2168, 2007.