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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2752
Advancement of the Adjustable and Modest 3D Printed Prosthetic Arm
Utilizing Electromyography
B. Affrudeen1, R. Abinaya1, B. Harish1, V. Gunaseelan1, Dr. B. Sivasankari2
1-UG Student, SNS College of Technology, Coimbatore.
2-Associate Professor, SNS College of Technology, Coimbatore.
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - In organ transplantations, the deficiency for the
donor is a noteworthy clinical issueallthroughtheworld. Also,
high risks happen when we favor conventional strategies that
may incorporate higher intricacy, auxiliary wounds, and
constrained source donors. Because of inborn inconsistencies,
incidental injury, individuals are enduringforsometimein the
past. This issue of donor deficiency can be solved with the help
of implementing 3D printing in the medical field. Inthispaper,
an adjustable 3D printed prosthetic arm whichworkswiththe
help of a signal called electromyography (EMG) is designed
and its statistical working is established. This arm helps an
amputated person to be free from the amputation and
independent in most circumstances.
Keywords: Amputation, Electromyography, Prosthetics,
3DPrinting, Upper limb.
1. INTRODUCTION
3D printing is a procedure of creating three dimensional
solid substances from a computerized document. The
production of a 3D printed object is achieved utilizingadded
element forms. By additive manufacturing, an object is
produced by depositing down consecutive layersofmaterial
until the object is produced. 3D printing advancement is
depended upon to disentangle the limitations that are
unavoidably experienced while using standard
methodologies by melding the modified improvement of
human bionic tissue or organs. Ongoing insights study
demonstrates 25 percent of the universe’s populace
experience a few forms of disabilities. From a recent survey,
it is found that out of the universe’s population around
thirteen million persons suffer from amputation in which
half of the cent is arm amputees.
1.1 Arm Amputation
Arm amputees are person without an arm or a part of it
which may be lost due to any mishaps. The two situations
are enduring while at the same time doing their day by day
life routine without anyone else and they need help from
others. There are distinctive solutions for the assistance of
the amputees, be that as it may be, they are either being
unbelievably costly not every person can bear, hard to
introduce and keep up, or it might require surgeries for this
situation it depends on the nerves which now andagain may
be harmed. Each existing solution has favorable
circumstancesandburdens. Upperlimbamputationhappens
at a pace of 5.3 people per lakh individuals; finger removals
are the most well-known 3.5 people per lakh.
2. METHODOLOGY
One of the arrangements for arm amputees can be made
with the help of a prosthetic arm. The prosthetic arm should
be evaluated and resolved to the unfortunate victim'sneeds.
The subsequent course of action is the surgical appendages,
where the patient will have surgery to have another arm.
The subsequent arrangement is nearly costlier. A couple of
issues may happen because of the surgical arm. The
prosthetic arm has fewer issueswhenitappeareddifferently
concerning the surgical arm.
Prosthetic arm avoids various restorative issues that may
result from the clinical methodology technique ,There are
various strategies to screen and control a mechanical arm
where one framework is to use an EEG contraption (a
headset), which assists with recording the signs from the
mind when the individual is thinking about an action or
realizing an outward facial appearance. The EEG will
examine the signs acquired and a short time later believer
them to directions and forward them to the arm. The
subsequent framework is to use muscle movement sensors,
which are known as electromyography (EMG) sensors. The
EMG signal which is gotten from the electrical potential
delivered by the muscle cells can be examined to recognize
restorative varieties from the standard, incitation level, or
the selection demand. EMG signal is to be set up for
numerous hand motions and advancement confirmation.
The departure of the prosthetic arm accompanies both
enthusiastic and functional impairment in this way making
the structure procedure significant not simply as far as
solace yet appearance too. The rear block diagram (Fig -1)
shows the way how a coarse EMG signal isfirstpreprocessed
for the further working of the prosthetic arm.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2753
Fig -1: Preprocessing of EMG Signal
3. PROPOSED SYSTEM
The reference electrode is in touch with the muscle from
which the EMG signal is obtained and then amplified by an
amplifier. The Amplified EMG signal is then filteredandthen
extracted as a digital signal which is further classified into
various forms. It is noteworthy that this system is
conservative and constrained by internal sources.
Fig -2: 3D Printed Prosthetic Arm Hardware Model
Using a divider power supply is exact for looking at and
troubleshooting yet a prosthetic armoughttobeconstrained
by a source an amputee can move without a lot of a stretch
bear. Servo engines use a great deal of current during the
action. Nonessential batteries would notbeanOKgameplan
since the servos would drain power too speedy hugeness
they would be displaced frequently. Lithium Polymer (LiPo)
batteries offer a high imperativeness thickness and are
battery-powered. There is a trade-off between the life of the
battery and its size. Ideally, we may need the armtohave the
alternative to continue running fora coupleofhourswithout
standing by to be stimulated. Theworkflowofthe3Dprinted
prosthetic arm is described via the following block diagram
(Fig -3).
Fig -3: Workflow of the Prosthetic Arm
4. RESULT AND ANALYSIS
Research work is implemented and intended to thevictim to
check the controls and proper function of the arm. The
victim is subjected to do various basic daily activities like
holding an object.
Fig -4: EMG Signal Output
The effects of individual action examination are 100percent
resolution rate. Figure 4 shows the prevailing EMG wave.
Figure 5 shows the MATLAB output of various forms of EMG
signal.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2754
Fig -5: Various Forms of EMG Signal.
5. CONCLUSION
The prosthetic arm which is 3D printed byimplementing the
process called additive manufacturing is intended to be
moderate (economical) and lightweight to furnish the
amputee with comfort and independence for the daily
activities of life. Approximated estimate of the prosthetic
arm utilizing electromyography is tabulated as follows.
Table -1: Estimate of the 3D Printed Prosthetic Arm
S.no. Components Description Cost
1 1 kg filament ABS $15
2 2 cell LiPo Battery $20
3 6 x Servomotor $70
4 EMG sensor (muscle sensor) $80
5 Miscellaneous $30
6 Total $215
This research work represents how the EMG signal is
utilized for establishing a prosthetic arm employing the
AD8232 sensor to sense the muscle contraction. Later, the
arm will be examined on furthermore discussions with
numerous arm amputee problems. Moreover, the arm will
include embedded sensors on the palm and tip of the finger
to enable the outputs such as warmth to give additional
input of the victims encompassing parts. The hardware
analysis of the electromyogram is obtained in ordertocheck
with the control of the arm.
6. REFERENCES
[1].J.Zhao,Z. Xie,L.Jiang,H.Cai,H.LiuandG. Hirzinger. “A Five-
fingered Underactuated Prosthetic Hand Control Scheme”.
IEEE/RAS-EMBS International Conference on Biomedical
Robotics and Biomechatronics. BioRob 2006. IEEExplore
Digital Library.Pisa, Italy, 20-22 February 2006; pp.: 995 to
1000.
[2].Y.Jiang, S.Sakoda, S.Hoshigawa, H.Ye,Y.Yabuki,
T.Nakamura, M.Ishihara, T.Takagi, S.Takayama and H.Yokoi.
“Development and evaluation of simplified EMG prosthetic
hands”. IEEE International Conference on Robotics and
Biomimetics,ROBIO’14.IEEExploreDigital Library.December
2014.
[3]. Angkoon Phinyomark, Pornchai Phukpattaranont,
andChusak Limsakul, “Feature reduction and selection for
EMG signal classification,”ExpertSystemswithAppli-cations,
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[4]. Orgil Chinbat; Jzau-Sheng Lin“Prosthetic ArmControlby
Human Brain” 2018 International SymposiumonComputer,
Consumer and Control (IS3C).
[5]. Sherif Said, Samer AlKork, Amine Nait-Ali, “Wearable
Technologies in Biomedical and Biometrics Applications,” in
Biometrics under Biomedical Applications,Springer,2019,p.
Chapter 10.
[6]. M.D. Azulay, M.I. Pisarello and J.E. Monzón.
“Electromyographic control of a robotic arm for educational
purposes”. 3rd Middle East Conference on Biomedical
Engineering, MECBME’16. IEEExplore Digital Library.6-7
October 2016, Beirut, Lebanon; pp.: 129 to 132.
[7]. Y. Mangukiya, B. Purohit and K. George,
“Electromyography (EMG)sensor controlled assistive
orthotic robotic arm for forearm movement,”2017 IEEE
Sensors Applications Symposium (SAS), Glassboro, NJ, pp.1-
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[8]. Y. She, C. Li, J. Cleary, and H. Su, “Design and Fabrication
of a Soft Robotic Hand with Embedded Actuators and
Sensors,” ASME.J. Mechanisms Robotics, Vol.7 (2), pp.
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[9]. Ramya.E, Affrudeen.B, Abinaya.R, “Smart City
Implementation Models Based on IOT Technology”, JETIR
September2018, Volume 5, Issue 9, 2018.
[10]. S. Mallik and M.Dutta, “A study on control of
myoelectric prosthetic hand based on surfaceEMGpattern
recognition”, International Journal of Advance Research in
Science and Engineering, vol. 06, issue 07, pp. 635-646,
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[11]. A. J. Young, L. H. Smith, E. J. Rouse and L. J.
Hargrove, “Classification of simultaneous movements using
surface EMG pattern recognition," IEEE Transactions on
Biomedical Engineering, vol. 60, pp. 1250-1258, 2013.
[12]. R.Lakshmana Kumar, C.Suresh, B.Affrudeen,
R.Abinaya , “Smart Shopping Cart Method For ReducingMan
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[13]. A. Suberbiola, E. Zulueta, J. M. Lopez-Guede, Ismael
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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2755
[14]. G. N. Mahanth, B. C. Sachin, J. S. Kumar, S. N.
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[18]. Narjes Meselmani, Mostafa Khrayzat, Khaled
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IRJET - Advancement of the Adjustable and Modest 3D Printed Prosthetic ARM Utilizing Electromyography

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2752 Advancement of the Adjustable and Modest 3D Printed Prosthetic Arm Utilizing Electromyography B. Affrudeen1, R. Abinaya1, B. Harish1, V. Gunaseelan1, Dr. B. Sivasankari2 1-UG Student, SNS College of Technology, Coimbatore. 2-Associate Professor, SNS College of Technology, Coimbatore. ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In organ transplantations, the deficiency for the donor is a noteworthy clinical issueallthroughtheworld. Also, high risks happen when we favor conventional strategies that may incorporate higher intricacy, auxiliary wounds, and constrained source donors. Because of inborn inconsistencies, incidental injury, individuals are enduringforsometimein the past. This issue of donor deficiency can be solved with the help of implementing 3D printing in the medical field. Inthispaper, an adjustable 3D printed prosthetic arm whichworkswiththe help of a signal called electromyography (EMG) is designed and its statistical working is established. This arm helps an amputated person to be free from the amputation and independent in most circumstances. Keywords: Amputation, Electromyography, Prosthetics, 3DPrinting, Upper limb. 1. INTRODUCTION 3D printing is a procedure of creating three dimensional solid substances from a computerized document. The production of a 3D printed object is achieved utilizingadded element forms. By additive manufacturing, an object is produced by depositing down consecutive layersofmaterial until the object is produced. 3D printing advancement is depended upon to disentangle the limitations that are unavoidably experienced while using standard methodologies by melding the modified improvement of human bionic tissue or organs. Ongoing insights study demonstrates 25 percent of the universe’s populace experience a few forms of disabilities. From a recent survey, it is found that out of the universe’s population around thirteen million persons suffer from amputation in which half of the cent is arm amputees. 1.1 Arm Amputation Arm amputees are person without an arm or a part of it which may be lost due to any mishaps. The two situations are enduring while at the same time doing their day by day life routine without anyone else and they need help from others. There are distinctive solutions for the assistance of the amputees, be that as it may be, they are either being unbelievably costly not every person can bear, hard to introduce and keep up, or it might require surgeries for this situation it depends on the nerves which now andagain may be harmed. Each existing solution has favorable circumstancesandburdens. Upperlimbamputationhappens at a pace of 5.3 people per lakh individuals; finger removals are the most well-known 3.5 people per lakh. 2. METHODOLOGY One of the arrangements for arm amputees can be made with the help of a prosthetic arm. The prosthetic arm should be evaluated and resolved to the unfortunate victim'sneeds. The subsequent course of action is the surgical appendages, where the patient will have surgery to have another arm. The subsequent arrangement is nearly costlier. A couple of issues may happen because of the surgical arm. The prosthetic arm has fewer issueswhenitappeareddifferently concerning the surgical arm. Prosthetic arm avoids various restorative issues that may result from the clinical methodology technique ,There are various strategies to screen and control a mechanical arm where one framework is to use an EEG contraption (a headset), which assists with recording the signs from the mind when the individual is thinking about an action or realizing an outward facial appearance. The EEG will examine the signs acquired and a short time later believer them to directions and forward them to the arm. The subsequent framework is to use muscle movement sensors, which are known as electromyography (EMG) sensors. The EMG signal which is gotten from the electrical potential delivered by the muscle cells can be examined to recognize restorative varieties from the standard, incitation level, or the selection demand. EMG signal is to be set up for numerous hand motions and advancement confirmation. The departure of the prosthetic arm accompanies both enthusiastic and functional impairment in this way making the structure procedure significant not simply as far as solace yet appearance too. The rear block diagram (Fig -1) shows the way how a coarse EMG signal isfirstpreprocessed for the further working of the prosthetic arm.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2753 Fig -1: Preprocessing of EMG Signal 3. PROPOSED SYSTEM The reference electrode is in touch with the muscle from which the EMG signal is obtained and then amplified by an amplifier. The Amplified EMG signal is then filteredandthen extracted as a digital signal which is further classified into various forms. It is noteworthy that this system is conservative and constrained by internal sources. Fig -2: 3D Printed Prosthetic Arm Hardware Model Using a divider power supply is exact for looking at and troubleshooting yet a prosthetic armoughttobeconstrained by a source an amputee can move without a lot of a stretch bear. Servo engines use a great deal of current during the action. Nonessential batteries would notbeanOKgameplan since the servos would drain power too speedy hugeness they would be displaced frequently. Lithium Polymer (LiPo) batteries offer a high imperativeness thickness and are battery-powered. There is a trade-off between the life of the battery and its size. Ideally, we may need the armtohave the alternative to continue running fora coupleofhourswithout standing by to be stimulated. Theworkflowofthe3Dprinted prosthetic arm is described via the following block diagram (Fig -3). Fig -3: Workflow of the Prosthetic Arm 4. RESULT AND ANALYSIS Research work is implemented and intended to thevictim to check the controls and proper function of the arm. The victim is subjected to do various basic daily activities like holding an object. Fig -4: EMG Signal Output The effects of individual action examination are 100percent resolution rate. Figure 4 shows the prevailing EMG wave. Figure 5 shows the MATLAB output of various forms of EMG signal.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2754 Fig -5: Various Forms of EMG Signal. 5. CONCLUSION The prosthetic arm which is 3D printed byimplementing the process called additive manufacturing is intended to be moderate (economical) and lightweight to furnish the amputee with comfort and independence for the daily activities of life. Approximated estimate of the prosthetic arm utilizing electromyography is tabulated as follows. Table -1: Estimate of the 3D Printed Prosthetic Arm S.no. Components Description Cost 1 1 kg filament ABS $15 2 2 cell LiPo Battery $20 3 6 x Servomotor $70 4 EMG sensor (muscle sensor) $80 5 Miscellaneous $30 6 Total $215 This research work represents how the EMG signal is utilized for establishing a prosthetic arm employing the AD8232 sensor to sense the muscle contraction. Later, the arm will be examined on furthermore discussions with numerous arm amputee problems. Moreover, the arm will include embedded sensors on the palm and tip of the finger to enable the outputs such as warmth to give additional input of the victims encompassing parts. The hardware analysis of the electromyogram is obtained in ordertocheck with the control of the arm. 6. REFERENCES [1].J.Zhao,Z. Xie,L.Jiang,H.Cai,H.LiuandG. Hirzinger. “A Five- fingered Underactuated Prosthetic Hand Control Scheme”. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. BioRob 2006. IEEExplore Digital Library.Pisa, Italy, 20-22 February 2006; pp.: 995 to 1000. [2].Y.Jiang, S.Sakoda, S.Hoshigawa, H.Ye,Y.Yabuki, T.Nakamura, M.Ishihara, T.Takagi, S.Takayama and H.Yokoi. “Development and evaluation of simplified EMG prosthetic hands”. IEEE International Conference on Robotics and Biomimetics,ROBIO’14.IEEExploreDigital Library.December 2014. [3]. Angkoon Phinyomark, Pornchai Phukpattaranont, andChusak Limsakul, “Feature reduction and selection for EMG signal classification,”ExpertSystemswithAppli-cations, vol. 39, no. 8, pp. 7420–7431, 2012. [4]. Orgil Chinbat; Jzau-Sheng Lin“Prosthetic ArmControlby Human Brain” 2018 International SymposiumonComputer, Consumer and Control (IS3C). [5]. Sherif Said, Samer AlKork, Amine Nait-Ali, “Wearable Technologies in Biomedical and Biometrics Applications,” in Biometrics under Biomedical Applications,Springer,2019,p. Chapter 10. [6]. M.D. Azulay, M.I. Pisarello and J.E. Monzón. “Electromyographic control of a robotic arm for educational purposes”. 3rd Middle East Conference on Biomedical Engineering, MECBME’16. IEEExplore Digital Library.6-7 October 2016, Beirut, Lebanon; pp.: 129 to 132. [7]. Y. Mangukiya, B. Purohit and K. George, “Electromyography (EMG)sensor controlled assistive orthotic robotic arm for forearm movement,”2017 IEEE Sensors Applications Symposium (SAS), Glassboro, NJ, pp.1- 4, 2017. [8]. Y. She, C. Li, J. Cleary, and H. Su, “Design and Fabrication of a Soft Robotic Hand with Embedded Actuators and Sensors,” ASME.J. Mechanisms Robotics, Vol.7 (2), pp. 021007-021007-9, 2015. [9]. Ramya.E, Affrudeen.B, Abinaya.R, “Smart City Implementation Models Based on IOT Technology”, JETIR September2018, Volume 5, Issue 9, 2018. [10]. S. Mallik and M.Dutta, “A study on control of myoelectric prosthetic hand based on surfaceEMGpattern recognition”, International Journal of Advance Research in Science and Engineering, vol. 06, issue 07, pp. 635-646, 2017. [11]. A. J. Young, L. H. Smith, E. J. Rouse and L. J. Hargrove, “Classification of simultaneous movements using surface EMG pattern recognition," IEEE Transactions on Biomedical Engineering, vol. 60, pp. 1250-1258, 2013. [12]. R.Lakshmana Kumar, C.Suresh, B.Affrudeen, R.Abinaya , “Smart Shopping Cart Method For ReducingMan Power In Departmental Stores” , JournalofAppliedScience and Computations, Volume VI, Issue I, January/2019ISSN NO: 1076-5131. [13]. A. Suberbiola, E. Zulueta, J. M. Lopez-Guede, Ismael Etxeberria-Agiriano,andM. Graña.“Armorthosis/prosthesis movement control based on surface EMG signal extraction.” International journal of neural systems 25, no. 03 (2015).
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2755 [14]. G. N. Mahanth, B. C. Sachin, J. S. Kumar, S. N. Vinayand V. P.Sompur, “Design of Prosthetic Finger Replacements Using SurfaceEMG Signal Acquisition,” 2014 Texas Instruments India Educators’Conference (TIIEC), Bangalore, pp. 100-104, 2014. [15]. H. Daley, K. Englehart, L. Hargrove, and U. Kuruganti, "High density electromyographydata ofnormally limbed and transradial amputee subjects for multifunction prosthetic control,” J Electromyogr Kinesiol, vol. 22,pp.478- 84, Jun 2012. [16]. Alejandro Cañizares; Jean Pazos; Diego Benítez,“On the use of 3D printing technology towards the development of a low-cost robotic prosthetic arm”, 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). [17]. F Rengier, A Mehndiratta, H von Tengg-Kobligk, CM Zechmann, R Unterhinninghofen, HU Kauczor,FL Giesel,“3D printing based on imaging data: review of medical applications,”International Journal of Computer Assisted Radiology and Surgery, vol. 5, Issue 4, pp 335-341, 2010. [18]. Narjes Meselmani, Mostafa Khrayzat, Khaled Chahine, Milad Ghantous, Mohamad Hajj-Hassan, “Pattern recognition of EMG signals: Towards adaptive control of robotic arms” IEEE International Multidisciplinary Conference on Engineering Technology (IMCET), 2016. [19]. A. Gupta, “Analysis of Surface Electromyogram Signals during Human finger movements," International Journal of Engineering Research and Development, vol. I, pp.1518, June 2012. [20]. R. Chowdhury, M. Reaz, M. Ashrif, A. Bakar, K. Chellappan, T. Chang, "Surface Electromyography Signal Processing and Classification Techniques," Sensors, vol. 13, pp. 12431-12466, September 2013.