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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3085
Smart Healthcare Monitoring and Tracking System
Samantak Bag1, Abhijit Bhowmick2
1Student, School of Electronics Engineering, VIT University, Vellore, India
2Professor, School of Electronics Engineering, VIT University, Vellore, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Providing appropriate medical services to
patients without any delay, especially in case of
emergencies, has been a major challenge in the field of
medical sciences. The proposed system tries to overcome this
problem. Studies have shown that high blood pressure or
hypertension affects a large number of people throughout
the world. The system tries to provide an efficient
application for healthcare monitoring and tracking.
Heartbeat and temperature are considered as the main
health metrics in the considered system model. The system
monitors the patient’s health condition by measuring the
heartbeat and temperature and also tracks his/her location.
The measured values and the patient’s geographic
coordinates can be sent to the doctor as a short message
service (SMS) in case of emergencies. The system generates
a map of the entire region by using the patient’s geographic
coordinates and lists out all the nearby doctors/hospitals
for the patient. The closest doctor/hospital is found by using
a distance algorithm and displayed to the patient.
Key Words: smart healthcare; sensors; smart city;
monitoring; IOT.
I. INTRODUCTION
With the advent of globalization, there has been an
increasing demand for Smart cities. A Smart city is a
concept of integrating information and communication
technology (ICT) and Internet of things (IOT) technology
in a secure fashion to manage a city's assets [3]. It involves
a number of attributes and services like information
systems, schools, transportation systems, hospitals, power
plants, water supply networks, waste management, law
enforcement and other community services. Among these,
healthcare is a very important field that needs
development. Smart systems can be designed that can
present sustainable medical interventions efficiently at
low cost in a user friendly manner [5]. Statistics of medical
records collected over years, show that death rates due to
heart diseases have increased. Blood pressure is a crucial
risk factor for ischemic heart diseases and thus, preventive
measures must be taken against it [4]. Over the years,
systems have been designed to monitor heart rate, blood
sugar levels, body temperature and to synchronize and
display this information on a smart mobile phone or a
standard computer using wireless communication
technologies [6]. Our proposed system aims to monitor
the patient’s blood pressure and temperature.
II. PROPOSED PROTOTYPE
The system uses Arduino Uno as the main microcontroller.
A temperature sensor (LM35) and heartbeat sensor are
connected to the Arduino Uno. The temperature sensor
gives the temperature value in degree Celsius. To measure
the heart rate, the heart beat/pulse is detected and the
number of pulses for one minute is counted to get the
beats per minute. Light (using an LED) is passed from one
side of the finger and the intensity of light received on the
other side is measured (using an LDR). The GPS and GSM
modules are interfaced with the Arduino microcontroller.
The GPS module finds out the latitude and longitude of the
patient. The temperature and heartbeat values are
measured and compared with a configurable threshold to
be classified as “low”, “normal” or “high”. The GSM module
is used to send a short message service (SMS) to the
doctor’s mobile in case of emergencies. The message
contains the temperature, heartbeat values and the
patient’s latitude and longitude. The doctor can thus take
immediate action with the help of this alert system.
The concept of IOT (Internet of Things) has been
implemented by sending the collected data to an online
webpage [2]. This is done by initially creating a text file
containing the measured values. A PHP script is used to
check whether the text file has been created or not. Once
the text file is created, an AJAX call is performed via java
script to read the contents of the file and display them on
the webpage. A map of the entire region is generated using
the patient’s geographic coordinates with the help of the
Google Maps API. The map will display all the nearby
doctors/hospitals in that region with contact and route
details. The patient can choose a doctor from this list of
doctors for consultation in case of emergencies. Moreover
the Haversine distance algorithm is used to find out the
nearest doctor/hospital from the list and display it on the
webpage.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3086
Fig 1- Block Diagram of the system
III. HARDWARE DESIGN
A. Microcontroller
The microcontroller acts as the main processing unit and
controls the operations of all the components connected to
it. Arduino Uno is used in this system. Arduino Uno is a
microcontroller board based on the ATmega328P . It has
14 digital input/output pins (of which 6 can be used as
PWM outputs), 6 analog inputs, a 16 MHz quartz crystal, a
USB connection, a power jack, an ICSP header and a reset
button. The USB interface simplifies the connection of the
microcontroller with the computer, and also acts as a
power supplier for the microcontroller board.
B. Temperature sensor (LM35)
The LM35 temperature sensor has been used to detect the
temperature of the patient. The LM35 series are precision
integrated-circuit temperature devices with an output
voltage linearly proportional to the Centigrade
temperature. These do not require any external
calibration to provide typical accuracies of ±¼°C at room
temperature and ±¾°C over a full −55°C to 150°C
temperature range.
C. Heartbeat sensor
To measure the heart rate, the heart beat/pulse is
detected and the number of pulses for one minute is
counted to get the beats per minute. Light (using an LED)
is passed from one side of the finger and the intensity of
light received on the other side is measured (using an
LDR). Whenever the heart pumps blood, more light is
absorbed by increased blood cells and a decrease in the
intensity of light received on the LDR, is observed. As a
result, the resistance value of the LDR increases. This
variation in resistance is converted into voltage variation
using a signal conditioning circuit, usually an OP-AMP. The
signal is amplified enough to be detectable by the
microcontroller inputs. The microcontroller can be
programmed to receive an interrupt for every pulse
detected and count the number of interrupts or pulses in a
minute. The count value of pulses per minute gives the
Heart rate in bpm (Beats Per Minute).
D. GSM module
This module is used to send the short message service
(SMS) to the doctor. It is a device which can be used to
make a computer or any other processor communicate
over a network. A GSM digitizes and reduces the data and
then sends it down through a channel with different
streams of client data, each in its own particular time slot.
A GSM module requires a SIM card to be operated and
operates over a network range subscribed by the network
operator. It can be connected to a computer through
serial, USB or Bluetooth connection. The working of GSM
modem is based on commands. The commands always
start with AT (which means ATtention) and finish with a
<CR> character.
E. GPS module
It is used to find the latitude and longitude of the patient.
A GPS navigation device or GPS receiver is a device that
can receive information from GPS satellites and accurately
calculate the geographical location. The Global Positioning
System (GPS) is a global navigation satellite system (GNSS)
made up of a network of a minimum of 24, but
currently 30, satellites placed into orbit by the U.S.
Department of Defense. A GPS device can retrieve the
location and time information in all weather conditions,
anywhere on or near the Earth. A GPS reception requires
an unobstructed line of sight to four or more GPS
satellites and is subject to poor satellite signal conditions.
Fig 2- Hardware setup
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3087
IV. SOFTWARE DESIGN
The microcontroller is programmed using Arduino IDE to
handle all the operations of the hardware components
connected to it. A web page is made which displays the
measured parameters and also a map of the entire region.
The map is created with the help of the Google Maps API
by using the patient’s latitude and longitude values
obtained from the GPS module. HTML and CSS are used in
the front-end portion to make and design the webpage.
Java script is used to to read the contents of the file (using
an AJAX call), to generate the map, list of doctors, contact
and route details and to implement the Haversine distance
algorithm to locate the closest doctor/hospital in the
region. PHP is used to handle the back-end portion of the
webpage. It uses Server Sent Events (SSE) architecture to
continuously check whether the text file has been
generated or not, and to automate the redirection process
to the specific web pages, thus making the system real-
time.
V. RESULTS AND DISCUSSION
The proposed system has been designed with the
hardware and software specifications as discussed before.
It has been tested for a number of patients. The results are
shown in the following figures.
Fig 3- The webpage before the data is collected
Fig 4- The webpage showing the measured parameters,
the map and the list of doctors in that region
Fig 5- The webpage showing the contact details of a
particular doctor/ hospital
Fig 3 and Fig 4 show the webpage before and after the
data is collected from the microcontroller. The map is
displayed in Fig 4 pointing out the nearby
doctors/hospitals in that region. Fig 5 and Fig 6 show the
contact and route details of a particular doctor/ hospital.
Fig 7 shows the SMS received by the doctor.
Fig 6- The webpage showing the route details of a
particular doctor/ hospital
Fig 7- The SMS received by the doctor
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3088
VI. CONCLUSION
The concept of Smart City is aimed at providing a better
life to the people by improving the efficiency of services
and by coming up with innovative solutions to solve the
issues commonly faced by the people. Healthcare is a very
important field that needs immediate attention. The
proposed system provides an inexpensive and efficient
IOT based application for healthcare monitoring and
tracking that can help in taking care of the patient’s health
by providing effective medical services at the right time.
This system will thus be beneficial for both the patient and
the doctor in case of medical emergencies.
VII. REFERENCES
[1] N. Bressan, L. Bazzaco, N. Bui, P. Casari, L. Vangelista,
and M. Zorzi, The Deployment of a Smart Monitoring
System Using Wireless Sensor and Actuator Networks,
Proc. of IEEE SmartGridComm, Gaithersburg, MD, USA, Oct.
2010.
[2] John A. Stankovic, Research Directions for Internet of
Things, IEEE Internet of Things Journal Volume 1 pp. 3-9,
Jan 2014
[3] Sarwant Singh, Smart Cities – A $1.5 Trillion Market
Opportunity, Accessed: (29/11/2015), available
http://www.forbes.com/sites/sarwantsingh/2014/06/19
/smart-cities-a-1-5-trillion-market-opportunity/
[4] A. V. Chobanian, The Seventh Report of the Joint
National Committee on Prevention, Detection, Evaluation,
and Treatment of High Blood Pressure, JAMA, the Journal
of the American Medical Association, May 21, 2003.
[5] Tanja Bratan; Malcolm Clarke, Optimum Design of
Remote Patient Monitoring Systems, Engineering in
Medicine and Biology Society, 2006. EMBS '06. 28th
Annual International Conference of the IEEE
[6] Kahtan Aziz, Saed Tarapiah, Salah Haj Ismail, Smart
Real-Time Healthcare Monitoring and Tracking System
using GSM/GPS Technologies, 2016 3rd MEC International
Conference on Big Data and Smart City
[7] World Health Organization, The Global Burden of
Disease,2008.
[8] P. M. Kearney, M. Whelton, K. Reynolds, P. Muntner, P.
K. Whelton and J. He, Global burden of hypertension:
analysis of worldwide data, Elsevier Ltd, 15 January 2005.
[9] World Health Organization, Disease and injury country
estimates,2009.
[10] Ying-Wen Bai, Chao-Lin Lu,.Enterprise networking
and Computing in Healthcare Industry, 2005.
HEALTHCOM 2005. pp. 278- 281, 2005
[11] V. Jones, V. Gay, and P. Leijdekkers, Body sensor
networks for mobile health monitoring: Experience in
Europe and Australia, International Conference on the
Digital Society, pages 204–209, 2010
[12] M. R. Yuce et al, A MICS wireless body sensor
network, IEEE Wireless Communications and Networking
Conference (WCNC), pp. 2473-2478, March 2007.
[13] T. Gao et al, Vital Signs Monitoring and Patient
Tracking Over a Wireless Network, IEEE-EMBS 27th
Annual Int. Conference of the Eng. in Medicine and
Biology, Sept. 2005, Page(s):102 – 105.
[14] Mikhail St-Denis, LifeLine, Accessed:(29/11/2015),
available
http://www.mikhailstdenis.com/projects/personal
LifeLine.html
[15] A.R. Al-Ali; M. Al-Rousan; M. Al-Shaikh, Embedded
system-based mobile patient monitoring device,
Computer-Based Medical Systems, 2003. Proceedings.
16th IEEE Symposium

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Smart Healthcare Monitoring and Tracking System

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3085 Smart Healthcare Monitoring and Tracking System Samantak Bag1, Abhijit Bhowmick2 1Student, School of Electronics Engineering, VIT University, Vellore, India 2Professor, School of Electronics Engineering, VIT University, Vellore, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Providing appropriate medical services to patients without any delay, especially in case of emergencies, has been a major challenge in the field of medical sciences. The proposed system tries to overcome this problem. Studies have shown that high blood pressure or hypertension affects a large number of people throughout the world. The system tries to provide an efficient application for healthcare monitoring and tracking. Heartbeat and temperature are considered as the main health metrics in the considered system model. The system monitors the patient’s health condition by measuring the heartbeat and temperature and also tracks his/her location. The measured values and the patient’s geographic coordinates can be sent to the doctor as a short message service (SMS) in case of emergencies. The system generates a map of the entire region by using the patient’s geographic coordinates and lists out all the nearby doctors/hospitals for the patient. The closest doctor/hospital is found by using a distance algorithm and displayed to the patient. Key Words: smart healthcare; sensors; smart city; monitoring; IOT. I. INTRODUCTION With the advent of globalization, there has been an increasing demand for Smart cities. A Smart city is a concept of integrating information and communication technology (ICT) and Internet of things (IOT) technology in a secure fashion to manage a city's assets [3]. It involves a number of attributes and services like information systems, schools, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement and other community services. Among these, healthcare is a very important field that needs development. Smart systems can be designed that can present sustainable medical interventions efficiently at low cost in a user friendly manner [5]. Statistics of medical records collected over years, show that death rates due to heart diseases have increased. Blood pressure is a crucial risk factor for ischemic heart diseases and thus, preventive measures must be taken against it [4]. Over the years, systems have been designed to monitor heart rate, blood sugar levels, body temperature and to synchronize and display this information on a smart mobile phone or a standard computer using wireless communication technologies [6]. Our proposed system aims to monitor the patient’s blood pressure and temperature. II. PROPOSED PROTOTYPE The system uses Arduino Uno as the main microcontroller. A temperature sensor (LM35) and heartbeat sensor are connected to the Arduino Uno. The temperature sensor gives the temperature value in degree Celsius. To measure the heart rate, the heart beat/pulse is detected and the number of pulses for one minute is counted to get the beats per minute. Light (using an LED) is passed from one side of the finger and the intensity of light received on the other side is measured (using an LDR). The GPS and GSM modules are interfaced with the Arduino microcontroller. The GPS module finds out the latitude and longitude of the patient. The temperature and heartbeat values are measured and compared with a configurable threshold to be classified as “low”, “normal” or “high”. The GSM module is used to send a short message service (SMS) to the doctor’s mobile in case of emergencies. The message contains the temperature, heartbeat values and the patient’s latitude and longitude. The doctor can thus take immediate action with the help of this alert system. The concept of IOT (Internet of Things) has been implemented by sending the collected data to an online webpage [2]. This is done by initially creating a text file containing the measured values. A PHP script is used to check whether the text file has been created or not. Once the text file is created, an AJAX call is performed via java script to read the contents of the file and display them on the webpage. A map of the entire region is generated using the patient’s geographic coordinates with the help of the Google Maps API. The map will display all the nearby doctors/hospitals in that region with contact and route details. The patient can choose a doctor from this list of doctors for consultation in case of emergencies. Moreover the Haversine distance algorithm is used to find out the nearest doctor/hospital from the list and display it on the webpage.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3086 Fig 1- Block Diagram of the system III. HARDWARE DESIGN A. Microcontroller The microcontroller acts as the main processing unit and controls the operations of all the components connected to it. Arduino Uno is used in this system. Arduino Uno is a microcontroller board based on the ATmega328P . It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz quartz crystal, a USB connection, a power jack, an ICSP header and a reset button. The USB interface simplifies the connection of the microcontroller with the computer, and also acts as a power supplier for the microcontroller board. B. Temperature sensor (LM35) The LM35 temperature sensor has been used to detect the temperature of the patient. The LM35 series are precision integrated-circuit temperature devices with an output voltage linearly proportional to the Centigrade temperature. These do not require any external calibration to provide typical accuracies of ±¼°C at room temperature and ±¾°C over a full −55°C to 150°C temperature range. C. Heartbeat sensor To measure the heart rate, the heart beat/pulse is detected and the number of pulses for one minute is counted to get the beats per minute. Light (using an LED) is passed from one side of the finger and the intensity of light received on the other side is measured (using an LDR). Whenever the heart pumps blood, more light is absorbed by increased blood cells and a decrease in the intensity of light received on the LDR, is observed. As a result, the resistance value of the LDR increases. This variation in resistance is converted into voltage variation using a signal conditioning circuit, usually an OP-AMP. The signal is amplified enough to be detectable by the microcontroller inputs. The microcontroller can be programmed to receive an interrupt for every pulse detected and count the number of interrupts or pulses in a minute. The count value of pulses per minute gives the Heart rate in bpm (Beats Per Minute). D. GSM module This module is used to send the short message service (SMS) to the doctor. It is a device which can be used to make a computer or any other processor communicate over a network. A GSM digitizes and reduces the data and then sends it down through a channel with different streams of client data, each in its own particular time slot. A GSM module requires a SIM card to be operated and operates over a network range subscribed by the network operator. It can be connected to a computer through serial, USB or Bluetooth connection. The working of GSM modem is based on commands. The commands always start with AT (which means ATtention) and finish with a <CR> character. E. GPS module It is used to find the latitude and longitude of the patient. A GPS navigation device or GPS receiver is a device that can receive information from GPS satellites and accurately calculate the geographical location. The Global Positioning System (GPS) is a global navigation satellite system (GNSS) made up of a network of a minimum of 24, but currently 30, satellites placed into orbit by the U.S. Department of Defense. A GPS device can retrieve the location and time information in all weather conditions, anywhere on or near the Earth. A GPS reception requires an unobstructed line of sight to four or more GPS satellites and is subject to poor satellite signal conditions. Fig 2- Hardware setup
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3087 IV. SOFTWARE DESIGN The microcontroller is programmed using Arduino IDE to handle all the operations of the hardware components connected to it. A web page is made which displays the measured parameters and also a map of the entire region. The map is created with the help of the Google Maps API by using the patient’s latitude and longitude values obtained from the GPS module. HTML and CSS are used in the front-end portion to make and design the webpage. Java script is used to to read the contents of the file (using an AJAX call), to generate the map, list of doctors, contact and route details and to implement the Haversine distance algorithm to locate the closest doctor/hospital in the region. PHP is used to handle the back-end portion of the webpage. It uses Server Sent Events (SSE) architecture to continuously check whether the text file has been generated or not, and to automate the redirection process to the specific web pages, thus making the system real- time. V. RESULTS AND DISCUSSION The proposed system has been designed with the hardware and software specifications as discussed before. It has been tested for a number of patients. The results are shown in the following figures. Fig 3- The webpage before the data is collected Fig 4- The webpage showing the measured parameters, the map and the list of doctors in that region Fig 5- The webpage showing the contact details of a particular doctor/ hospital Fig 3 and Fig 4 show the webpage before and after the data is collected from the microcontroller. The map is displayed in Fig 4 pointing out the nearby doctors/hospitals in that region. Fig 5 and Fig 6 show the contact and route details of a particular doctor/ hospital. Fig 7 shows the SMS received by the doctor. Fig 6- The webpage showing the route details of a particular doctor/ hospital Fig 7- The SMS received by the doctor
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3088 VI. CONCLUSION The concept of Smart City is aimed at providing a better life to the people by improving the efficiency of services and by coming up with innovative solutions to solve the issues commonly faced by the people. Healthcare is a very important field that needs immediate attention. The proposed system provides an inexpensive and efficient IOT based application for healthcare monitoring and tracking that can help in taking care of the patient’s health by providing effective medical services at the right time. This system will thus be beneficial for both the patient and the doctor in case of medical emergencies. VII. REFERENCES [1] N. Bressan, L. Bazzaco, N. Bui, P. Casari, L. Vangelista, and M. Zorzi, The Deployment of a Smart Monitoring System Using Wireless Sensor and Actuator Networks, Proc. of IEEE SmartGridComm, Gaithersburg, MD, USA, Oct. 2010. [2] John A. Stankovic, Research Directions for Internet of Things, IEEE Internet of Things Journal Volume 1 pp. 3-9, Jan 2014 [3] Sarwant Singh, Smart Cities – A $1.5 Trillion Market Opportunity, Accessed: (29/11/2015), available http://www.forbes.com/sites/sarwantsingh/2014/06/19 /smart-cities-a-1-5-trillion-market-opportunity/ [4] A. V. Chobanian, The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure, JAMA, the Journal of the American Medical Association, May 21, 2003. [5] Tanja Bratan; Malcolm Clarke, Optimum Design of Remote Patient Monitoring Systems, Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE [6] Kahtan Aziz, Saed Tarapiah, Salah Haj Ismail, Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies, 2016 3rd MEC International Conference on Big Data and Smart City [7] World Health Organization, The Global Burden of Disease,2008. [8] P. M. Kearney, M. Whelton, K. Reynolds, P. Muntner, P. K. Whelton and J. He, Global burden of hypertension: analysis of worldwide data, Elsevier Ltd, 15 January 2005. [9] World Health Organization, Disease and injury country estimates,2009. [10] Ying-Wen Bai, Chao-Lin Lu,.Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. pp. 278- 281, 2005 [11] V. Jones, V. Gay, and P. Leijdekkers, Body sensor networks for mobile health monitoring: Experience in Europe and Australia, International Conference on the Digital Society, pages 204–209, 2010 [12] M. R. Yuce et al, A MICS wireless body sensor network, IEEE Wireless Communications and Networking Conference (WCNC), pp. 2473-2478, March 2007. [13] T. Gao et al, Vital Signs Monitoring and Patient Tracking Over a Wireless Network, IEEE-EMBS 27th Annual Int. Conference of the Eng. in Medicine and Biology, Sept. 2005, Page(s):102 – 105. [14] Mikhail St-Denis, LifeLine, Accessed:(29/11/2015), available http://www.mikhailstdenis.com/projects/personal LifeLine.html [15] A.R. Al-Ali; M. Al-Rousan; M. Al-Shaikh, Embedded system-based mobile patient monitoring device, Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium