M.Saranya,R.Preethi,M,Rupasri that above 80% of the aged people older

M.Saranya,R.Preethi,M,Rupasri                                       
Dr.S.Veena

UG Student,Department of Computer engineering           Professor,Department of  computer Engineering

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S.A. Engineering college                                                  
S.A Engneering College

Chennai Chennai

 

 

Abstract:

IOT devices are used in many fields which make the
users day to day life more comfortable. These smart sensors devices  are used to collect  heartbeat 
which  is used to evaluate the
health condition of the patient. Communicating the collected information to the
doctor, making accurate decision on the data collected and notifying the
patient is the challenging task in the IOT. This concept proposed to monitor
patient parameter value . In real world scenario, respective sensors will be
placed with patient and normal or abnormal of patient condition send to Android
Application through Wi-Fi or Bluetooth. The data sent can be viewed and analyzed
from any remote location.

 

Keywords:IOT, Security, Tools

 

       I.           
INTRODUCTION

 

Recent years have seen a rising in wearable sensors and
today several devices are commercially available for personal health care and
activity awareness. A recent health care system should provide better health
care services to people at any time anywhere in an affordable and patient
friendly manner. Currently, the health care system going to change from a
traditional approach to a modernized patients centered approach. In the
traditional way the doctors play the major role. For necessary diagnosis and
advising they need to visit the patients. There are two basic problems related
to this approach. Firstly, the health care professionals must be place of the
patient all the time and second, the patient remains admitted in the hospital, wired
to bedside biomedical instruments, for a long period of time. In order to solve
this two problems the patient oriented approach has been received.

   Recent information
from United Nations predicted that there will be 2 billion older people by
2050. In addition, research indicates that above 89% of the aged people are
likely to live independently. However, medical research found that above 80% of
the aged people older than 65% suffers from at least one chronic diseases
making them to have difficulty in taking care of themselves. Accordingly,
providing a decent quality of life for aged people as become a serious social
issue at that moment. The rapid proliferation of information and communication
technologies is enabling innovative healthcare solutions and tools that show
promise in addressing the above challenges.

   Now, Internet Of
Things (IOT) has become one of the most powerful communication paradigms of the
21th century. In the IOT environment, all objects in our daily life become part
of the internet due to their communication and computing capabilities. Heart
rate is one of the fundamental physiological parameters, essential for
monitoring and diagnosis of patients. To keep people effective and healthy, a
readily accessible modern health care system is proving to be effective in
saving costs, reducing illness and prolonging life. In this paper, we describe
an enhanced healthcare monitoring system, that is smartphone based and designed
to provide wireless approach and social support to participants.

 

    II.           
INTERNET OF THINGS (IOT)

Internet of Things (Iot) driven health and wellness
monitoring system enables remote and continuous monitoring of individuals, with
applications in chronic conditions, such as obesity, hypertension, diabetes, heart
failure,stress, preventive care and wellness. Medical care and healthcare
represents one of the most attractive application areas for the IoT. Digitization
and the increasing connectivity between devices, citizens and their meaningful
way. Smart manufacturing becomes the norm in industry 4.0, where intelligent
machines are networked so they can exchange and respond to data to
independently manage industrial production. The internet of things is a
transformational concept. In 1999, Kevin Ashton, co-founder of the Auto-ID
Center at the Massachussets Institute of Technology, envisioned an Internet of Things
based on RIFD chips that could enable “things” to communicate with each other.
IOT breaks the confines of traditional computer networks and establishes
connections directly with objects in the physical world. The core concept of
this phenomenon is that IOT allows for “things” to connect to the Internet,
ranging from the significant –airplanes, elevators, solar panels, medical
equipment-to the mundate-toys, soap dispensors and porch lights.

  The IoT paradigms
can play a significant role in improving the health and wellness of subjects by
increasing the availability and quality of care, and grammatically lowering the
treatment costs and frequent travel. The IoT driven healthcare system employs
networked by biosensors to simultaneously collect multiple physiological
signals and wireless  connectivity to
share or transmit gathered signals directly to the cloud diagnostic server and
the caregivers for further analysis and clinical review. Further, the IoT
enabled remote monitoring applications can significantly reduce travel, cost
and time in long term monitoring applications.

  In the health and
wellness monitoring environment, the IoT has emerged  as one of the most powerful information
gathering and sharing paradigms for personalized healthcare systems, ambient
assisted living, uses posture detection, and activity recognition. Compliance
with treatment and medication at home and healthcare providers is another
important potential application. In this paper, the core concept is based on
IoT, the information sensed from the sensors are gathered and transmitted to
the smartphone through IoT.

 

 III.           
IOT APPLICATIONS OF HEALTHCARE

 

Infirmity/Condition

Sensors used: Operations:IoT Roles/Connections

1.      Diabetes

A non-invasive
opto-physiological sensors.

2.      Wound analysis for
advanced diabetes patients

A smartphone camera:
image decompression and segmentation.

3.      Heartrate monitoring

BLE and Wi-Fi connect
smart devices through an appropriate gateway.

4.      BP monitoring

A wearable BP sensor:
Oscillometric and automation inflation and measurements.

5.      Body temperature
monitoring

Wearable body
temperature sensor; skin based temperature measurement

6.      Wheel chair
management

WBAN sensors(eg:
accelerometers,ECG and pressure)

7.      Cough detection

A built in microphone
audio system in the smartphone

8.      Remote surgery

Surgical

 

 

 IV.           
SECURITY IN IOT HEALTHCARE MONITORING

 

For any system, security is one of the
important aspects. People have different opinions about security and hence it
defined in many ways. In general, security is a concept which deals with safety
of the system as a whole. Now, the communication in sensor network applications
in healthcare are mostly wireless in nature. This  may result in various security mechanism to
these systems. These are the security issues cloud pose serious problems to the
wireless sensor devices. In this section, we describe the key security
requirements in IOT based healthcare system using body sensor network.

 

A.     Data Privacy

Like WSNs, data privacy is considered
to be most important challenge in BSN. It is required to protect the data from
revelation. BSN should not leak patient’s vital information to external or
adjacent networks. In IOT based healthcare application, the sensor nodes
collect and forwards sensitive data to a doctor . An adversary can eavesdrop on
the communication, and can overhear critical information.

 

B.     Data Integrity

Keeping  data confidential does not protect it from
external  modifications. An adversary can
always alter the data by adding some fragments or by manipulating the data with
in a packet. This altered data can be forwarded to the coordinator. Lack of integrity
mechanism is sometimes very dangerous especially in case of Life-critical. Data
loss can also occur due to the bad communication environment.

 

C.     Data Freshness

The adversary may solutions capture
data in transmit and replay them later using old key in older to confuse the
coordinator. Data freshness implies that data is fresh and no one can replay
the old message.

 

D.    Authentication

It is one of the most important
requirements in any IOT based healthcare system using BSN,which can efficiently
deal with the imporsonating attacks. In BSN based healthcare system, all the
sensor nodes send their data to a coordinator. Then the coordinator sends
periodic updates of the patient to  a
server.In this context , it is highly imperative to ensure both the identity of
the coordinator and the server. Authentication helps to confirm their identity
to each other.

 

E.     Anonymity

A more satisfactory property of the
anonymity is the untraceability, which guarentes that the adversary can neither
discern who the patient is not can tell apart whether two conversations
originate from same patient. Thus, anonymity hides the source of a packet
during wireless communication. It is a service that can enable confidentiality.

 

    V.           
LITERATURE SURVEY

 

A.    
A
Reliable IOT system for personal healthcare devices

In this paper, describes a reliable
one M2M based IOT system for healthcare devices .In the proposed one M2M based
IOT system for personal healthcare device is constructed , and evaluated in
various experiments. Some personal healthcare device data is too precious to
lose due to system failures under u-healthcare environments .However, until
now, few studies have focused on fault tolerance health data services. Therefore,
it proposed a fault tolerance algorithm for the reliable IOT system in which
gateway on the same layer in the system are linked to form a daisy chain for
fault tolerance at the level, and a gateway stores a backup copy of the
previous gateway positioned immediately ahead of the gateway in  the daisy chain. It may system get suffer a
serious performance degradation from conversion process.

 

B.     Tensor Decomposition for Monitoring
Multiperson breathing beats with commodity wifi

Breathing signal monitoring can
provide important clues for health problems, compared to existing techniques
that require wearable devices and special equipments, a more desirable approach
is to provide contact free and long term breathing rate monitoring by
exploiting wireless signals . It experimental study shows that tensor beat can
achieve high accuracy under different environments for multi person breathing
rate monitoring datas are not secured, if multiple users can use single wifi it
leads to slow in speed.

 

C.    Real time tele monitoring of patients with
chronic Heart failures using a smart phone

This paper describes the smart
phone based system for real time tele-monitoring of Physical activity
inpatience with chronic heart failure. It proposed monitoring in the real world
that examines its requirements, privacy implications, usability and other
challenges . Enquanted by the
participants and health care providers. Although the system was designed for
tele-monitoring indviduals with CHF, the challenges, privacy considerations.

 

D.    A Wireless Health Monitoring System Using
Mobile Phone Accessories

This paper presents the design and
prototype of wireless health monitoring system using mobile phone accessories.
It focusses on measuring real time electro cardiogram(ECG). And heart rate
monitoring using a smart phone case with the increasing number of Cardiac
patients world wide, this design can be used for easily deduction of heart
disease. Disadvantage of this paper, patient data’s collected by the phone is
not secured.

 

E.     Accurate Heart Rate Monitoring During
Physical Exercises Using PPG

Challenging task of heart rate
estimation from the Photo Plethysmo Graphic(PPG) Signal , during intensive physical exercises, is tackled in this
paper. Additionally, an offline version of the HRE stimulation algorithm that
uses viter by decoding is designed for scenarios that do not require online HR
Monitoring.

 

F.    
Smart
Self Regulatory Health System

Healthcare industry has proven its
technically abundant applications at other industries with the help of many
concepts like IOT and cloud computing. It has transformed its techniques by
using intelligent gadgets that can be acquainted with patients in different
configurations. This commences the preferences
of using IOT based smart devices to deliver more valuable data to the patient.

 

G.   
A novel
IOT based health monitoring system using LPC2129

The focus on this paper is to
implement IOT based health monitoring transportable system for the measurement of
the heart rate and body fat, using LPC2129 Arm processor Development board. Describes a transportable system with wireless
transmission capabilities.

 

H.   
An IOT
based E-Health Monitoring system using ECG signal sign in or purchase to view
full text

An
IOT based healthcare system implementation scheme using Hidden Markov
model(HMM) chain and Electro Cardiogram(ECG) sensors within the context of
E-health. Intervention for Cardio Vascular Disease (CVD) patients thereby
enhancing medical services for such patients.

I.      
IOT
based application for E-health an improvisation for lateral rotation

Internet
of Things has penetrated into our day to day activities in one way or the other
IOT application provides a huge opportunity for application in health care
system,improving patients quality life. The combination of embedded systems, sensors
and actuators associated with constant monitoring of patients.

J.     
Real
time patient monitoring system based on Internet of Things

The remote monitoring systems
include, vehicle or assets monitoring, kids/pets monitoring fleet management,
water and oil leakage, energy grid monitoring etc. Critical condition of a
patient by processing sensors data and instantly provides push notification.

K.    
IOT
based patient information monitoring system by using RFID technologies

Wireless
body Area Networks (WBANs) and Radio frequency identification are important
components of IOT systems. The combination of embedded systems, sensors and
actuators associated with constant monitoring of patients.

 

 

 

 

S.NO

TITLE

YEAR AND AUTHOR

CONCEPT

DISADVANTAGE

1.

Connecting
Intelligent Things in Smart Hospitals using NB-IOT

Haibin
Zhang, Jianpeng Li,Bo Wen,Yijie Xun,Jiajia Liu 2018

The
widespread use of Internet of Things(IOT),especially smart wearables, will
play an important role in improving the quality of health care, bringing
convenience for patients and improving the management level of hospitals

Due to
the limitation of communication protocol, there exists non unified
architecture that can connect all intelligent

2

Smart
Self regulatory health system

Chaitanya
Kulkarni,Snehal Kenjale,Manasi patil,Chinmay Kulkarni 2017

Healthcare
industry has proven its technically abundant applications at other industries
with the help of many concepts like IOT and cloud computing. It has
transformed its techniques by using intelligent gadgets that can be acquainted
with patients in different configurations

This
commences the preferences of using IOT based smart devices to deliver more
valuable data to the patient

3

A novel
IOT based health monitoring system using LPC2129

Melisa
pereira,Kamath k nagapriya,2017

The focus
on this paper is to implement IOT based health monitoring transportable
system for the measurement  of the
heart rate and body fat, using LPC2129 Arm processor Development board

Describes
a transportable system with wireless transmission capabilities

4

An IOT
based E-Health Monitoring system using ECG signal sign in or purchase to view
full text

Maryem
Neyja,Shahid Mumtaz, Kazi Mohammed saidal Huq,Sherif Adeshina busari,Jonathan
rodrioguez 2017

An IOT
based healthcare system implementation scheme using Hidden Markov model(HMM)
chain and Electro Cardiogram(ECG) sensors within the context of E-health

Intervention
for Cardio Vascular Disease (CVD) patients thereby enhancing medical services
for such patients

5

IOT based
application for E-health an improvisation for lateral rotation

Shubangi
Nataraja, Poornima Nataraja 2017

Internet
of Things has penetrated into our day to day activities in one way or the
other IOT application provides a huge opportunity for application in health
care system, improving patients quality life

The
combination of embedded systems, sensors and actuators associated with
constant monitoring of patients

6

Real time
patient monitoring system based on Internet of Things

Mohammad
salah uddin,Jannet Binta Alam,Suraiya Banu 2017

The
remote monitoring systems include, vehicle or assets monitoring, kids/pets
monitoring fleet management, water and oil leakage, energy grid monitoring
etc.

Critical
condition of a patient by processing sensors data and instantly provides push
notification
 

7

IOT based
patient information monitoring system by using RFID technologies

Faruk
Aktas,Celal Ceken,Yunus Emre Erdemli 2016

Wireless
body Area Networks (WBANs) and Radio frequency identification are important
components of IOT systems

WBANs are
embedded devices which consists of sensor nodes , and are capable of sensing
many vital physiological data

8

A
reliable IoT system for personal Healthcare Devices
 

Min Woo
Woo,JongWhi Lee, KeeHyun Park
2017

In the proposed
one M2M based IOT system for personal healthcare device is constructed ,and
evaluated in various experiments , it
proposed a fault tolerance algorithm for the reliable IOT system in which
gateway on the same layer in the system are linked to form a daisy chain for
fault tolerance at the level
 

The system
suffers from a serious
performance
degradation from conversion process.
 
 

 

 

 

 

 VI .    CONCLUSION

In this paper, We have discussed various mechanisms and
algorithms for healthcare monitoring using IoT. With this proposed, we overcome
the disadvantages from the existing mechanism, it is more efficient method to
monitor the health parameters of patients. This system has the advantage of less
cost, less analysis, time,

low power consumption. By this, the accurate and effective
measurement of heart rate of patients is possible and makes an efficient system
in the field like medical. Wireless sensors data will be sent to server using
IOT with secure.

 

 

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