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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 2530
SMART ICU USING IOT
Rahul Ahire1, Kiran More2, Kavita Patil3, Pooja Saindane4, Prof. Sagar Jadhav5
1,2,3,4Dept. of Computer Engineering, Brahma Valley College of Engineering and Research Institute, Nashik,
Maharashtra, India
5Prof. Dept. of Computer Engineering, Brahma Valley College of Engineering and Research Institute, Nashik,
Maharashtra, ndia
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Intensive Care Unit or ICU is where the patients
who are critically ill are admitted for treatment. For such
critical conditions the Doctors need to haveanall-timeupdate
patient’s health related parameters like their blood pressure,
heart pulse and temperature, feet detection, oxygen level. To
do manually, this is too tedious a task and also for multiple
patients it becomes close to impossible. For this type of
situations this IOT based system can bring about an
automation that can keep the Doctors updated all time over
internet. IOT Based ICU Patient Monitoring System is IOT
based system which collects patient’s information with the
help of few sensors. It uses module to communicate this
information to the internet. There is admin can add ICU
supervisor and doctor. The ICU supervisorcanaddpatient and
assign kit and specific doctor for patient and stay update of
that patient. The ICU supervisor can only view the current
sensor value of patient who admitted in ICU. The Doctor can
view Patient with their profile and all medical history. Sensor
can sense and get statistics graph according to age group and
disease wise which is show by doctor. According to statistic
graph the doctor can predict the health of patient based on
sensor value and history
Key Words: ICU, IOT, PATIENT HEALTH, DOCTOR
1. INTRODUCTION
Information and Communication Technologies solutions
for modern healthcare systems continuously grow
worldwide. Recent years have seen a rising interest in
wearable sensors and today several devices are
commercially available for personal health care, fitness, and
activity awareness. In addition to current smart medical
devices, researchers have also considered applications of
such technologies in clinical applications in remote health
monitoring systems for long term recording, management
and clinical access to patient’s physiological information.
Based on current technological trends, one can readily
imagine a time in the near future whenyour routinephysical
examination is preceded by a two–three day period of
continuous physiological monitoring using inexpensive
wearable sensors. The work developed in this paper focuses
on the study and the development of an intelligent patient
monitoring system in medical environment. Indeed, one of
the specialized sections of a hospital that are Intensive Care
Units (ICU) are of great importance because of the
seriousness of the health status of patients staying and
therefore need special attention. Due to the severity of
patients treated in the intensive care units, these units are
commonly equipped by a variety medical-equipment that is
handled a multidisciplinary medical team in order to
monitor ICU’s patients in real time. In addition, we find,
nursing staff, the monitoring and life support devices
necessary to provide continuous care to patients that are
severely ill and medically unstable. Thelatterreceivespecial
care and are monitored in real time by the medical team
through a breathing assistance system and the decision-
making support that is, for instance the ECG. To help the
patient to stay alive, a partial or total ventilator support is
mandatory depending on the severity of the condition in
which the patient is located. It appears of course that, the
respiratory support justifies a significantmonitoringsystem
in ICUs that is very particular and intricate. Faced withthese
requirements, the limits of theperformanceofthesesystems
are obvious. The shortcomings of the current patients
monitoring system in ICU are well established. They were
the subject of a thorough study well supplied in the state of
the art. Among many limitations, we have a very alarmist
monitoring system with a significant rateoffalsealarmsthat
hinder the tranquility of the patient. In order to attempt
answer those identified issues, a review will be performed
on the importance of smart and connected health care using
Internet of Things
2.1 FUNCTIONAL REQUIREMENT:
The health monitoring sensors are used to collect health
related data i.e. for sensor value data acquisition.
Communication can be done by controller for sending data
on internet wirelessly. Data processing has been done at
server. All data collected and aggregated at server point. To
get ICU patient health related information in sensor value
format it can be shown on MSG i.e. data management. The
results collected from sensor are analyzed i.e. if abnormal
behavior has been detected , then emergency plan activated
to inform the Doctor about ICU patient’s health.Soitreduces
critical conditions in Hospital.
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 2531
The objective of this project is to monitor and improve
the quality of care of people in remote location and to
provide continuousinformationaboutthepatientformaking
better healthcare decisions in critical situationandtoreduce
the emergency checkup of the ICU’s patients. It helps the
doctor to monitor their patients at any time apart from their
consulting hours. It improves patient care and safety by
reduction in overall costs for care.
2.2 Communication interface:
This project supports all types of patient admitted in
ICU. Based on an IoT solution called patient health
prediction, this paper proposed the health monitoring and
give immediate treatment to patient according to sensors
current value rate.
2.3 NONFUNCTIONAL REQUIREMENTS:
2.3.1 Performance Requirements:
In this paper, the sensing devices from the patient are
connected to the ARUDINO and programmed to convert the
sensed data from the patient to readable signals and then
Heart rate is a very vital health parameter that directly
related to the Patient cardiovascular system. This project
describes a technique of measuring the healthrateofpatient
through a fingertip usinga ArduinoBoard.Thisfluctuationof
sensors value can be detected through an optical sensing
mechanism placed around the patients. The signal can be
amplified further for the Arduino Board to count the rate of
fluctuation, which is calculate the health rate of patient.
2.3.2 Safety Requirements:
Health of the patients are monitored using internet o
things (IoT) and enables the doctor to monitortheir patients
outside the clinic and also apart their consulting hours.
Connected health care devices utilize resources to provide
an improved quality of care, leading to better clinical
outcomes. Measureable benefits of connected medical
devices include reduces clinic visits, including reduction in
bed days of care and length o stays in hospitals. Using
Internet of Things (IoT), patient conditionsareobtainedand
stored for further analysis. In this project the heart rate and
blood pressure o patient are monitored.
2.3.3 Software Quality Attributes:
From this work it is expected to monitor the whole body
of the patient from remote location and improve the
technology to world widely for patient monitoring by
providing personalized and optimized services, it will
promote a better standard of living.Nationsacrosstheworld
to improve patient care and IoT provides a timely and cost-
effective response to those critical situations. Healthy and
active people can also benefit from IoT-driven monitoringof
their well-being, It also enablesfeaturesfortheagedpersons
who want only a monitoring device that can detect a fall or
other interruption in every day activity and report it to
emergency responders or family members.
3. SYSTEM REQUIREMENTS:
3.1 Hardware:
 Arduino
 Temperature Sensor
 Vibration Sensor
 Pulse Sensor
 SP02 MAX 30100 Sensor
 ECG sensor AD 8232 module
3.2 Software:
Technology: Java
Domain: IOT, Machine
Learning
Front End: HTML, CSS
Back End: MYSQL
4.1 SYSTEM ARCHITECTURE:
In this paper connotation of smart ICU system is
analyzed. And based on the introduction of existing system
architectures of IOT, combined with the characteristics of
hospital ICU scene, the system architecture composed of
sensing, network layer and application layer in smart ICU is
also discussed in detail. Then, from the aspects of
compilation of information specifications and standards,
construction of the unified network platformandembedded
mobile electronic ICU patient records application platform,
the key technology and content in the construction of smart
ICU is sufficiently studied. Application scheme of smart ICU
is given, providing meaningful reference for the overall
implementation and extension.
In this proposed system;
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 2532
Admin:
In the proposed system admin can add ICU
supervisor and add doctor for patient treatment.
ICU supervisor:
The supervisor can add the patient in ICU section
and assign a kit and specific doctor for him to give proper
attention and treatment of ICU patient. Supervisor can do
any update of patient record who already added by him in
ICU section and get treatment from assigned doctor from
supervisor. There are various sensors are built in ICU
section, that sensor can change their value according to the
ICU section and patient condition. That all record of patient
with current records are viewed and monitored by the ICU
supervisor.
Doctor:
ICU supervisor can assign doctor for a patient who
admitted in ICU section. That doctor can view patient with
their profile and all previous medical history. According the
patient age group and disease wise statistic graph will be
created that is view by doctor. Doctor also can predict the
health of patient based on the updated sensor value and
current value. This current sensor values also view by both
ICU supervisor and patient’s assigned doctor. If assigned
doctor is not near to patient then also he continuouslywatch
on ICU patient health according to the sensor value. Doctor
can get auto MSG if patient health get serious or patient’s
critical condition.
4.2 Block diagram:
Conclusion:
In this paper, we highlight the opportunities and challenges
for IOT in realizing this vision of the future of health care.
Indeed, the intensive care unit is a great example whose
need for smart system becoming unavoidable. In this paper,
we succinctly reviewed the current state and projected
future directions for integration of intelligent remote health
monitoring in patient admitted in ICU technologies into the
clinical practice of medicine. In this sense, we proposed a
smart and pervasive ICU using an architecture based on
wireless sensors Based-IOT for ImprovingIntensivemedical
care. This hybrid architecture of wireless technologyhasthe
advantage of uniting in a platform for converged data
transmission services for the efficient transport of medical
data. Noted that there are several benefits of Smart Process
Applications can have for patient monitoring in ICU like:
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 2533
1) Smart functions provide accurate, transparent data
processes
2) Smart functions, collect, process and consolidate
information and analyses, simplifying recordsandreporting
processes and integrating all decision-making processes
3) Smart functions help optimizing patient monitoring
system in ICU, thereby increasing medical care quality and
reducing costs.
REFERENCES
[1] C. Y. Yan, W. B. Kang, J. X. Wang, M. Q. Cui, X. Wang, C. Y.
Foo, K. J. Chee, and P. S. Lee, "Stretchable and Wearable
Electrochromic Devices," Acs Nano, vol. 8, pp. 316-322, Jan
2014.
[2] C. Yu, Y. Zhang, D. Cheng, X. Li, Y. Huang, and J. A.Rogers,
"AllElastomeric, Strain-Responsive Thermochromic Color
Indicators," Small, vol. 10, pp. 1266-1271, 2014.
[3] W. Zeng, L. Shu, Q. Li, S. Chen, F. Wang, and X. M. Tao,
"FiberBased Wearable Electronics: A Review of Materials,
Fabrication, Devices, and Applications," AdvancedMaterials,
Jun 18 2014.
[4] S. Chaudhuri, H. Thompson, and G. Demiris, "Fall
Detection Devices and Their Use With Older Adults: A
Systematic Review," Journal ofgeriatric physical therapy, Jan
8 2014.
[5] D. Son, J. Lee, S. Qiao, R. Ghaffari, J. Kim, J. E. Lee, C. Song,
S. J. Kim, D. J. Lee, S. W. Jun, S. Yang, M. Park, J. Shin, K. Do, M.
Lee, K. Kang, C. S. Hwang, N. Lu, T. Hyeon, and D. H. Kim,
"Multifunctional wearable devices for diagnosisandtherapy
of movement disorders," Nature Nanotechnology, vol. 9, pp.
397-404, May 2014.
[6] S. Xu, Y. Zhang, L. Jia, K. E. Mathewson, K. I. Jang, J. Kim, H.
Fu, X. Huang, P. Chava, R. Wang, S. Bhole, L. Wang, Y. J. Na, Y.
Guan, M. Flavin, Z. Han, Y. Huang, and J. A. Rogers, "Soft
microfluidic assemblies of sensors, circuits, and radios for
the skin," Science, vol. 344, pp. 70-4, Apr 4 2014.
AUTHOR PROFILE
[1] Rahul Ahire, Brahma valley College of Engineering And
Research Institute Nashik, Maharashtra, India
[2]Kiran More, Brahma valley College of Engineering And
Research Institute Nashik, Maharashtra, India
[3] Kavita Patil, Brahma valley College of Engineering And
Research Institute Nashik, Maharashtra, India
[4] Pooja Saindane, Brahma valley College ofEngineeringAnd
Research Institute Nashik, Maharashtra, India
[5]Prof. Sagar Jadhav, Brahma valley College of Engineering
And Research Institute Nashik, Maharashtra, India

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  • 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 2530 SMART ICU USING IOT Rahul Ahire1, Kiran More2, Kavita Patil3, Pooja Saindane4, Prof. Sagar Jadhav5 1,2,3,4Dept. of Computer Engineering, Brahma Valley College of Engineering and Research Institute, Nashik, Maharashtra, India 5Prof. Dept. of Computer Engineering, Brahma Valley College of Engineering and Research Institute, Nashik, Maharashtra, ndia ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Intensive Care Unit or ICU is where the patients who are critically ill are admitted for treatment. For such critical conditions the Doctors need to haveanall-timeupdate patient’s health related parameters like their blood pressure, heart pulse and temperature, feet detection, oxygen level. To do manually, this is too tedious a task and also for multiple patients it becomes close to impossible. For this type of situations this IOT based system can bring about an automation that can keep the Doctors updated all time over internet. IOT Based ICU Patient Monitoring System is IOT based system which collects patient’s information with the help of few sensors. It uses module to communicate this information to the internet. There is admin can add ICU supervisor and doctor. The ICU supervisorcanaddpatient and assign kit and specific doctor for patient and stay update of that patient. The ICU supervisor can only view the current sensor value of patient who admitted in ICU. The Doctor can view Patient with their profile and all medical history. Sensor can sense and get statistics graph according to age group and disease wise which is show by doctor. According to statistic graph the doctor can predict the health of patient based on sensor value and history Key Words: ICU, IOT, PATIENT HEALTH, DOCTOR 1. INTRODUCTION Information and Communication Technologies solutions for modern healthcare systems continuously grow worldwide. Recent years have seen a rising interest in wearable sensors and today several devices are commercially available for personal health care, fitness, and activity awareness. In addition to current smart medical devices, researchers have also considered applications of such technologies in clinical applications in remote health monitoring systems for long term recording, management and clinical access to patient’s physiological information. Based on current technological trends, one can readily imagine a time in the near future whenyour routinephysical examination is preceded by a two–three day period of continuous physiological monitoring using inexpensive wearable sensors. The work developed in this paper focuses on the study and the development of an intelligent patient monitoring system in medical environment. Indeed, one of the specialized sections of a hospital that are Intensive Care Units (ICU) are of great importance because of the seriousness of the health status of patients staying and therefore need special attention. Due to the severity of patients treated in the intensive care units, these units are commonly equipped by a variety medical-equipment that is handled a multidisciplinary medical team in order to monitor ICU’s patients in real time. In addition, we find, nursing staff, the monitoring and life support devices necessary to provide continuous care to patients that are severely ill and medically unstable. Thelatterreceivespecial care and are monitored in real time by the medical team through a breathing assistance system and the decision- making support that is, for instance the ECG. To help the patient to stay alive, a partial or total ventilator support is mandatory depending on the severity of the condition in which the patient is located. It appears of course that, the respiratory support justifies a significantmonitoringsystem in ICUs that is very particular and intricate. Faced withthese requirements, the limits of theperformanceofthesesystems are obvious. The shortcomings of the current patients monitoring system in ICU are well established. They were the subject of a thorough study well supplied in the state of the art. Among many limitations, we have a very alarmist monitoring system with a significant rateoffalsealarmsthat hinder the tranquility of the patient. In order to attempt answer those identified issues, a review will be performed on the importance of smart and connected health care using Internet of Things 2.1 FUNCTIONAL REQUIREMENT: The health monitoring sensors are used to collect health related data i.e. for sensor value data acquisition. Communication can be done by controller for sending data on internet wirelessly. Data processing has been done at server. All data collected and aggregated at server point. To get ICU patient health related information in sensor value format it can be shown on MSG i.e. data management. The results collected from sensor are analyzed i.e. if abnormal behavior has been detected , then emergency plan activated to inform the Doctor about ICU patient’s health.Soitreduces critical conditions in Hospital.
  • 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 2531 The objective of this project is to monitor and improve the quality of care of people in remote location and to provide continuousinformationaboutthepatientformaking better healthcare decisions in critical situationandtoreduce the emergency checkup of the ICU’s patients. It helps the doctor to monitor their patients at any time apart from their consulting hours. It improves patient care and safety by reduction in overall costs for care. 2.2 Communication interface: This project supports all types of patient admitted in ICU. Based on an IoT solution called patient health prediction, this paper proposed the health monitoring and give immediate treatment to patient according to sensors current value rate. 2.3 NONFUNCTIONAL REQUIREMENTS: 2.3.1 Performance Requirements: In this paper, the sensing devices from the patient are connected to the ARUDINO and programmed to convert the sensed data from the patient to readable signals and then Heart rate is a very vital health parameter that directly related to the Patient cardiovascular system. This project describes a technique of measuring the healthrateofpatient through a fingertip usinga ArduinoBoard.Thisfluctuationof sensors value can be detected through an optical sensing mechanism placed around the patients. The signal can be amplified further for the Arduino Board to count the rate of fluctuation, which is calculate the health rate of patient. 2.3.2 Safety Requirements: Health of the patients are monitored using internet o things (IoT) and enables the doctor to monitortheir patients outside the clinic and also apart their consulting hours. Connected health care devices utilize resources to provide an improved quality of care, leading to better clinical outcomes. Measureable benefits of connected medical devices include reduces clinic visits, including reduction in bed days of care and length o stays in hospitals. Using Internet of Things (IoT), patient conditionsareobtainedand stored for further analysis. In this project the heart rate and blood pressure o patient are monitored. 2.3.3 Software Quality Attributes: From this work it is expected to monitor the whole body of the patient from remote location and improve the technology to world widely for patient monitoring by providing personalized and optimized services, it will promote a better standard of living.Nationsacrosstheworld to improve patient care and IoT provides a timely and cost- effective response to those critical situations. Healthy and active people can also benefit from IoT-driven monitoringof their well-being, It also enablesfeaturesfortheagedpersons who want only a monitoring device that can detect a fall or other interruption in every day activity and report it to emergency responders or family members. 3. SYSTEM REQUIREMENTS: 3.1 Hardware:  Arduino  Temperature Sensor  Vibration Sensor  Pulse Sensor  SP02 MAX 30100 Sensor  ECG sensor AD 8232 module 3.2 Software: Technology: Java Domain: IOT, Machine Learning Front End: HTML, CSS Back End: MYSQL 4.1 SYSTEM ARCHITECTURE: In this paper connotation of smart ICU system is analyzed. And based on the introduction of existing system architectures of IOT, combined with the characteristics of hospital ICU scene, the system architecture composed of sensing, network layer and application layer in smart ICU is also discussed in detail. Then, from the aspects of compilation of information specifications and standards, construction of the unified network platformandembedded mobile electronic ICU patient records application platform, the key technology and content in the construction of smart ICU is sufficiently studied. Application scheme of smart ICU is given, providing meaningful reference for the overall implementation and extension. In this proposed system;
  • 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 2532 Admin: In the proposed system admin can add ICU supervisor and add doctor for patient treatment. ICU supervisor: The supervisor can add the patient in ICU section and assign a kit and specific doctor for him to give proper attention and treatment of ICU patient. Supervisor can do any update of patient record who already added by him in ICU section and get treatment from assigned doctor from supervisor. There are various sensors are built in ICU section, that sensor can change their value according to the ICU section and patient condition. That all record of patient with current records are viewed and monitored by the ICU supervisor. Doctor: ICU supervisor can assign doctor for a patient who admitted in ICU section. That doctor can view patient with their profile and all previous medical history. According the patient age group and disease wise statistic graph will be created that is view by doctor. Doctor also can predict the health of patient based on the updated sensor value and current value. This current sensor values also view by both ICU supervisor and patient’s assigned doctor. If assigned doctor is not near to patient then also he continuouslywatch on ICU patient health according to the sensor value. Doctor can get auto MSG if patient health get serious or patient’s critical condition. 4.2 Block diagram: Conclusion: In this paper, we highlight the opportunities and challenges for IOT in realizing this vision of the future of health care. Indeed, the intensive care unit is a great example whose need for smart system becoming unavoidable. In this paper, we succinctly reviewed the current state and projected future directions for integration of intelligent remote health monitoring in patient admitted in ICU technologies into the clinical practice of medicine. In this sense, we proposed a smart and pervasive ICU using an architecture based on wireless sensors Based-IOT for ImprovingIntensivemedical care. This hybrid architecture of wireless technologyhasthe advantage of uniting in a platform for converged data transmission services for the efficient transport of medical data. Noted that there are several benefits of Smart Process Applications can have for patient monitoring in ICU like:
  • 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 2533 1) Smart functions provide accurate, transparent data processes 2) Smart functions, collect, process and consolidate information and analyses, simplifying recordsandreporting processes and integrating all decision-making processes 3) Smart functions help optimizing patient monitoring system in ICU, thereby increasing medical care quality and reducing costs. REFERENCES [1] C. Y. Yan, W. B. Kang, J. X. Wang, M. Q. Cui, X. Wang, C. Y. Foo, K. J. Chee, and P. S. Lee, "Stretchable and Wearable Electrochromic Devices," Acs Nano, vol. 8, pp. 316-322, Jan 2014. [2] C. Yu, Y. Zhang, D. Cheng, X. Li, Y. Huang, and J. A.Rogers, "AllElastomeric, Strain-Responsive Thermochromic Color Indicators," Small, vol. 10, pp. 1266-1271, 2014. [3] W. Zeng, L. Shu, Q. Li, S. Chen, F. Wang, and X. M. Tao, "FiberBased Wearable Electronics: A Review of Materials, Fabrication, Devices, and Applications," AdvancedMaterials, Jun 18 2014. [4] S. Chaudhuri, H. Thompson, and G. Demiris, "Fall Detection Devices and Their Use With Older Adults: A Systematic Review," Journal ofgeriatric physical therapy, Jan 8 2014. [5] D. Son, J. Lee, S. Qiao, R. Ghaffari, J. Kim, J. E. Lee, C. Song, S. J. Kim, D. J. Lee, S. W. Jun, S. Yang, M. Park, J. Shin, K. Do, M. Lee, K. Kang, C. S. Hwang, N. Lu, T. Hyeon, and D. H. Kim, "Multifunctional wearable devices for diagnosisandtherapy of movement disorders," Nature Nanotechnology, vol. 9, pp. 397-404, May 2014. [6] S. Xu, Y. Zhang, L. Jia, K. E. Mathewson, K. I. Jang, J. Kim, H. Fu, X. Huang, P. Chava, R. Wang, S. Bhole, L. Wang, Y. J. Na, Y. Guan, M. Flavin, Z. Han, Y. Huang, and J. A. Rogers, "Soft microfluidic assemblies of sensors, circuits, and radios for the skin," Science, vol. 344, pp. 70-4, Apr 4 2014. AUTHOR PROFILE [1] Rahul Ahire, Brahma valley College of Engineering And Research Institute Nashik, Maharashtra, India [2]Kiran More, Brahma valley College of Engineering And Research Institute Nashik, Maharashtra, India [3] Kavita Patil, Brahma valley College of Engineering And Research Institute Nashik, Maharashtra, India [4] Pooja Saindane, Brahma valley College ofEngineeringAnd Research Institute Nashik, Maharashtra, India [5]Prof. Sagar Jadhav, Brahma valley College of Engineering And Research Institute Nashik, Maharashtra, India