2. IoT takes important place in e-Health and medical

mentioned in previous section, the IoT takes important place in
e-Health and medical care by using different sensing devices and
wireless sensor networks (WSNs). Much research

this topic has been done, which can be further categorized and

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Gupta, Deepika Agrawal, Jasmeet Chhabra, Pulkit Kumar Dhir, have
proposed a model which presents the design and implementation of an
“IoT based Smart Healh Care Kit” for emergency medical services
which can be demonstrate collection, integration of IoT data
flexibility which provide support to services like intensive care
unit(ICU). They have used a INTEL GALILEO second Generation
Development Board. Using this system the time for patients and
doctors are saved. Doctors can help in emergency services as much as
possible. Galileo Board collects data from all the sensors
connected to patient and the data is uploaded to an webpage through
ethenet for temperature calibration. They had used LM35 sensor and
Xampp based data served used for patents timely record.

Abhilasha Ingole, Shrikant
Ambatkar, Sandeep Kakde have proposed a paper which describes
“Implementation of Healthcare monitoring System using Raspberry
Pi”. This system is designed to read the body temperature and
heartbeat of patients at runtime. It is focused on collecting the
physical parameter and then that information is made available for
multiple users. They have used Raspberry Pi B+ model which can be
interacted with different parameters measuring unit. In this paper,
basic health parameter are considered and monitored. The operating
temperature range of DS18B20 is -55oC
to +125oC
and it provides the accuracy about +0.5oC
over the range of -10oC
to +85oC.
Each DS18B20 is provided with a unique 64-bit serial code.

Augustus E. Ibhaze, MNSE, Francis
E. Idachaba, Ezimah C. Eleanor have proposed a system “E-health
Monitoring System For the Aged”. The system monitors the heartbeat
and temperature of patients simultaneously with the pulse sensors
and the temperature sensors by populating a centralized database
with its reading of defined intervals or have risen beyond preset
threshold, the device make use of the GSM/GPRS/GPS shield to send
the readings and location coordinates to the patient’s doctor
guardian to quickly track and examined/diagnose the patient’s
condition. By using Arduino microcontroller sensors attached to the
figure of the patient for measuring temperature and heart rate. Also
it is designed to recognize the location of the patients. This
device takes gv powered battery.

Prosanta Gope and Tzonelih Hwang
proposed a model,” BSN Care: A Secure IoT Based Modern Health Care
System Using Body Sensor Network”. This paper presents a body
sensors technology. It consist of wearable body sensors like
EMG(Electromyography), ECG (Electrocardiagram), blood pressure etc.
It uses wireless communication using 3G/GPRS/CDMA. To achieve
security requirements, they proposed a lightweight anonymous
authenticated protocol and to get data security requirements. Used
OCB i.e offset codebook authenticated encryption mode.

Kaleem Ullah, Munam Ali Shah,
This presents the model named as ‘k-Healthcare’ makes use of
four layers, sensor layer, network layer, internet layer and service
layer. There are different sensor used like RTX-4100, Arduino,
Raspberry Pi, pulse oximetry and smart phone sensors. Communication
between layers is done through IEEE 802.15.4, 802.15.6, IEEE
802.11/b/g/n, Zigbee etc. For data storage management the system
used cloud storage. The proposed system support different protocols
and like HTTP, HTTPs, RESTful and Javascript web services.

K.Keerthana, N.Kiruthikanjali, G.Nandhini and G.Yuvaraj, This paper
represent ” Secured
Smart Healthcare Monitoring System based on IOT”.

this system we used PIC16F877A Microcontroller it collects the data
from the sensors and sends the data through IOT. The Protected data
sent can be access anytime by the doctors by typing the
corresponding exclusive IP address in any of the Internet Browser at
the end user device (ex: Laptop, Desktop, Tablet, Mobile phone). The
Microcontroller is connected to IOT which provides information to
doctor/caretaker when the heart rate is greater than 90 or less than
60 and when the temperature is less than 20 or greater than 35. LCD
is connected to microcontroller to display the transaction process
and healthcare data. And the user interface html webpage will
automatically refresh for every 15 seconds for this reason patient
health status is continuously send to the doctor. Therefore
continuous monitoring of patient data is achieved.

M George, Nimmy Mary Cyriac, Sobin, Mathew,Tess Antony, This paper
proposes a patient health monitoring system using IoT and android.
It consist of temperature sensor ECG sensor, Heartbeat sensor and
accelerometer. This sensors are connected to Arduino board. The
values from microcontroller is given to web server using Ethernet
shield. The parameter values can be viewed by android application
installed in doctors and patient smartphones. The health parameter
are stored and published online. Hence, the healthcare professional
can monitor their patients from a remote location at any points.

Dileep Kumar1&
Pratti Venkateswarlu, This model proposes a
“Secured Smart Healthcare Monitoring System Based on IOT”
the model consists of ATMEGA8 Microcontroller, Temperature sensor
(LM35), Pulse Oximetry Sensor (TCRT1000), Liquid Crystal Display
(16×2), GSM MODEM, Electric Buzzer and Regulated Power Supply. In

system ATMEGA8 Microcontroller collects the data from the sensors and
sends the data to Web page. The Protected data sent which can be
accessed anytime by the doctors by typing the corresponding unique
URL address in any of the Internet Browser at the end user device.

Devi.S , Godfrey
Winster.S, Sasikumar.S,
This paper proposes a “Patient
Health Monitoring
System (PHMS) Using IoT Devices”
The architecture of PHMS contains three phases; they are collection
phase, transmission phase, utilization
phase. Body Area
Network (BAN) is constructed to collect the required data from the
patient. The parameters
used to diagnose the
disease may vary from one disease to another. Therefore each
parameter is sensed by
separate IoT devices
which are connected to the patient. All the devices connected in the
body of the patient are
known as BAN in the
data collection phase. Blood pressure module, heart rate monitor,
temperature etc. are the basic devices used to collect the blood
pressure, heart rate and temperature of the patient. The transmission
device used in the transmission phases are Wi-Fi or Bluetooth .A
mobile application design for the doctor to check the health status
of the patient which is adapted in every 60 seconds after update in
the served. The data collected from the IoT devices to the system is
used and the information only for last three days can be viewed in
mobile application.


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