Our Invention is related to a IoT based health monitoring system over 4G network

BACKGROUND OF THE INVENTION
In the recent year’s wireless technology has increasing for the need of upholding various
sectors. In these recent years IoT graped the most of industrial area specially automation
and control. Biomedical is one of recent trend to provide better health care. Not only in
hospitals but also the personal health caring facilities are opened by the IoT technology. So
having a smart system various parameters are observed that consumes power, cost and
increase efficiency.

In according to this smart system, this paper is reviewed. In traditional method, doctors
play an important role in health check-up. For this process requires a lot of time for
registration, appointment and then check-up. Also reports are generated later. Due to this
lengthy process working people tend to ignore the check-ups or postpone it. This modern
approach reduces time consumption in the process. In the recent years use of wireless
technology is increasing for the need of upholding various sectors.

In these recent years IoT groped the most of industrial area specially automation and
control. Biomedical is one of recent trends to provide better health care. Not only in
hospitals but also the personal health care facilities are opened by the IoT technology. So
having a smart system, various parameters are observed that consume power, cost and
increase efficiency.

In accordance with this smart system, this paper is reviewed. Medical scientists are trying
in the field of innovation and research since many decades to get better health services and
happiness in human lives. Their contribution in medical area is very important to us and
cannot be neglected. Today’s automotive structures have the root ideas coming from
yesterday’s basics.
The author in describes an IoT platform with various patient and disease contexts, in
particular the Parkinson disease and their symptoms to communicate and discuss with
medical practitioners through web interfaces or agent technologies. These technologies are
intended to transfer large amount of data from remote locations to the main computing
servers. Various features of the IoT have been integrated as discussed in to make well-being
comfortable.

The method involves numerous devices to acquire large amount of data in seconds from
millions of sensors, placed in different geographic locations. Fog Computing is adopted to
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minimize the delay of travel times from remote locations to further make improvements
and offer Quality of Services (QoS) to medical professionals and healthcare personnel. For
this purpose, an integrated framework is conceptualized with collaborations among Fog
nodes with other manageable resources and tasks.

As suggested in in the context of mobile health, the fundamental characteristics such as
compactness, IP connectivity, low-power consumption, and security challenges have been
discussed. The authors describe mobile data acquisition methods using various gadgets,
wearables to monitor healthy conditions, such as blood-sugar levels, CEG tests, blood
pressure and asthma. Benefits of tools and technologies, such as quick diagnosis, remote
monitoring and home rehabilitation have also been described.

As suggested in Wireless Sensor Networks (WSNs), health monitoring mechanism is
needed for patients, who are at more risk of chronic diseases. WSNs are in wide use,
complying with treatment plans and just-in-time safeguard during sudden attacks.
Homebased healthcare applications with well-being solutions and remedies using IoT, need
connectivity among various devices and their linked sensors in remote locations,
transferring data from clouds to edge networks.

Fog Computing procedures further facilitate high speed computations locally and
communicate their results Justin-time. As discussed in the authors discuss three types of
patients, “critically injured” “just generally hospitalized” and “care for discharged patients”.
The authors have uniquely described “possessing edge location”, “location awareness”,
geographically distributed”, “real-time interactions”, “heterogeneity” and “latencysensitivity” to make more feasible whether by Fog Computing or cloud computing. Smart
way of interpreting ECGs and associated cardiac diseases are discussed in.

Various features extracted from smart gateways including heart-rate, P wave and T wave
via a flexible template based on a lightweight wavelet transform. The authors reveal Fog
Computing achieve 90% bandwidth efficiency with low latency real time at the edge of the
network. The authors examine a systematic literature on Fig Computing technologies in
healthcare systems to assess previous research as in.

The authors in describe e-health gateway implementation for use in the Fog Computing
layer, connecting a network of such gateways, both at home and hospitals use. Various
application services are discussed with presentation of healthcare scenarios. As discussed
in the authors present a survey on the employment of FC to support IoT devices and
services using Open Fog Consortium (OFC). Fog Computing architectures are discussed in
with various applications from rural areas.

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The authors in discuss a k-Healthcare model that makes use of 4 layers, the sensor layer,
the network layer, internet layer and service layers, all layers cooperate each other
effectively and efficiently to provide a platform for accessing the patients’ healthcare data
using smart phones.
OBJECTIVES OF THE INVENTION
1. The objective of the invention is to a an Our Invention IoT-based health monitoring
system over 4G network is a remote health monitoring of patients at home is aware
with the popularity of various nature of advanced mobile devices.
2. The other objective of the invention is to a global cloud as well as IoT (Internet of
Things) and the 4-G mobile technologies make comfort to monitor the patients’
health conditions by sharing only real-time health information to health care unit
such as doctors, nurses.
3. The other objective of the invention is to a Remote monitoring and guidance
awareness by sharing real-time all information in an authenticated manner is the
main focus and the supporting sensors integrated with IoT healthcare can
effectively analyze and gather the patients’ physical and virtual health data that has
made IoT healthcare ubiquitously allow.
4. The other objective of the invention is to the invention is a continuous presence of
the healthcare defined professionals and staff, as well as the proper amenities in
remote areas during any emergency situations, need to be addressed for developing
a flexible IoT-based health monitoring system.
5. The other objective of the invention is to a Wireless data transmission done by
Arduino through WiFi module is used for wireless data transmission on IoT
platform i.e. thing speak. Data visualization is done on Thing speak. So that record
of data can be stored over a period of time and this data stored on a web server so
that it can see to who logged.
SUMMARY OF THE INVENTION
Research questions and objectives The research questions are designed keeping in view the
literature surveys and the motivation of new technologies in healthcare sciences. How do
the IoT driven healthcare systems manage in safe and secure environment? Why do we
need a framework and how does it work? How does Fog Computing explore the
multidimensional ailments? The research objectives are designed to depict the IoT driven
healthcare systems in safe and secure environment.

The description of research framework with new insights of artefacts used in the
framework architecture are other objectives. The proposed tools and technologies that can
work in difficult environments and implement, where IoT driven healthcare services most
needed, are described. 5. Motivation, significance and contribution IoT should not pose
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constraints in terms of needs, budgets and infrastructure development. Finding challenges
are significant in emerging effective solutions.

High speed internet and high performance computing facilities are real motivations of the
current research. Prioritizing the project goals that align with the business objectives;
models that match with healthcare challenges are significant. Reduce patient waiting
periods, attending to emergency calls, tracking hospital and patient movements through
alerts need enormous data storage devices and capacities. Healthcare personnel must be
careful in treating volumes of patient tracking data on IoT devices and tools, if not treated
properly, there may be scope of hacking the trackers and loss of enormous sensitive data.
If IoT involves with internet connected to desktops, laptops, smartphones and tablets,
professionals are able to communicate and interact variety of users even if remotely joined
and operated with notifications and requests.

Sensor data come from variety of places and people, IoT devices must be able to sense and
distinguish the variety of responses. As an example, consumer groups may have been
connected to smart TVs, smart speakers, toys, wearables, and smart appliances. Smart
meters, commercial security systems, and smart city technologies that may monitor traffic
and weather observance screens are typical industry based IoT devices. Any home and
office appliances run on smart devices including smart home and office may be part of IoT
infrastructure.

IoT device management may include successful deployment of IoT, connectivity, security,
interoperability, power/processing capability and scalability, adopting standard protocols
by branded vendors and software. Device registration, authorization, configuration,
provisioning, device monitoring, diagnosis and troubleshooting are other features of the
device management. Deployment of internet based devices that use high speed network,
communication and connectivity protocols essentially depend on specific IoT applications.

IoT can offer range of services relevant to consumer electronics, vehicles, healthcare,
utilities, transportation, and manufacturing including agriculture industries. The objectives
are enhanced quality care, reduced cost of healthcare, improved access to information. In
addition, integration of IoT features with medical devices can improve the healthcare
services, especially in aging population era, providing constant supervision of elderly
patients who suffer
from chronic ailments and keeping them healthy and safe. Patient satisfaction and timely
intervention of doctor including more time spent on interaction between patient-doctor
consultations are other objectives. IoT in the populated countries is a healthcare panacea,
which has manifold benefits, the most notable benefit is cost reduction and the ratio
between patient and medical professional is more. To coup up with patient population and
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maintaining its balance with medical staff, IoT has definite edge in providing prompt
medical services and deliver them swiftly even in inaccessible areas.

IoT has significance in prompt delivery of services wherever the patients exist on globally,
because medical practitioners can be able to reach through IoT, monitor patient health and
recommend necessary timely prescription. Medical personnel need skills how to interpret
the data on IoT devices. At times, the data transmissivity may be late, recording may take
time and they are prone to errors.

If the IoT data systems are connected to electronic healthcare systems, may help
minimizing the errors in the data. With increasing number of devices, their responses
sometimes may be ambiguous, so it is a challenging task to doctors to come with an
appropriate diagnostic solution. IoT devices are used to acquire and detect volumes and
varieties of health points or nodes.

The points may be coming from multiple diseases, such as diabetics, blood pressure,
heartbeat, brainwaves and breathing patterns. In such IoT environments, health gadgets
have definite role to play and many patients depend on variety of IoT products. At times
they may not be precise when compared with more reliable on lab based medical
equipment. Video cameras and wireless ID cards or wristbands are being used by hospitals.

Bluetooth Low Energy (BLE) beacons are being used as a part of IoT technique in
healthcare. Staff appointments, location of inventory where the devices, supplies and
medicines are checked using tags of BLE. The following is the summary of the significance
and motivation:
1. Providing Constant Attention
2. Building Trust
3. Remote Patient Monitoring
4. Reduced Costs
5. Configuring Emergency Alerts
6. Data insights
7. Remote medical assistance
8. Tracking staff, inventory and patients
9. Drugs management
Methodology as per Research Objectives cited in Section 4, more automation is needed in
the healthcare industry to bridge the communication gaps between patients and medical
practitioners. Slowly the traditional healthcare systems are being replaced by systems of
new architectures to manage huge data in one go and the entire procedure cannot work
without high speed internet connection with high performance computing tools.

The data are in volumes and variety of such Big Data keep arriving from fogs and clouds.
In addition, latency is improved with enhanced system response and computations with
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notifications. The Fog Computing uses local servers to attend and compute system
responses rather than cloud servers so as to reduce the latency.

Healthcare problems rise in mainly over populated countries where India is one of them as
the population is rising day by day and need of helping sick people is rising day by day. The
demand for high-quality care is also increased by the population, while reducing the costs
of the treatment. The technology is advanced to the level of monitoring health remotely via
a machine, which is more reliable than the manual monitoring.

It can help in reducing time on the training of individual person and make more reliable on
the advanced machines. Fog computing also helps in global positioning system (vice versa)
to accurately pin point the location of an individual. The technology can be used to indicate
the sudden emergency that has occurred, alerting the doctors that what is going wrong with
the patient and what measures are to be taken.

The alert can be of different types that use different technology to tell the doctors, as to
blink the lights that are controlled by the nodes of the Fog Computing and make a beeping
sound while they blink. This may sound very beneficial and good for the people who are
sick but the maintenance and keeping the system running like this while maintaining the
network and managing are very difficult in Fog Computing, because of unmanageable
networks.
With increasing awareness of healthcare, new tools and technologies are taking shape in
human life. The health problems can be detected faster as ever before including preventive
care of the human body. The impending problems linked with the human body are
foreseeable using machine learning techniques. As demonstrated in Fig. 1, the healthcare
services are available by Fog Computing servers using various layers. The framework
demonstrates various security features that can help protect customers’ healthcare data.
BRIEF DESCRIPTION OF THE DIAGRAM
FIG.1: Communication Sensor network to Cloud Data Center
FIG.2: Medical officer controlling
FIG.3: Medical test to Data center to user.
DESCRIPTION OF THE INVENTION
FIG.1: Wireless sensor network (WSN) refers to a group of spatially dispersed and
dedicated sensors for monitoring and recording the physical conditions of the environment
and organizing the collected data at a central location. WSNs measure environmental
conditions like temperature, sound, pollution levels, humidity, wind, and so on.[1]

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These are similar to wireless ad hoc networks in the sense that they rely on wireless
connectivity and spontaneous formation of networks so that sensor data can be
transported wirelessly.
WSNs are spatially distributed autonomous sensors to monitor physical or environmental
conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data
through the network to a main location.

The more modern networks are bi-directional, both collecting data from distributed
sensors and enabling control of sensor activity. The development of wireless sensor
networks was motivated by military applications such as battlefield surveillance; today
such networks are used in many industrial and consumer applications, such as industrial
process monitoring and control, machine health monitoring, and so on.
A gateway is a piece of networking hardware used in telecommunications for
telecommunications networks that allows data to flow from one discrete network to
another. Gateways are distinct from routers or switches in that they communicate using
more than one protocol to connect a bunch of networks and can operate at any of the seven
layers of the open systems interconnection model (OSI).
The term gateway can also loosely refer to a computer or computer program configured to
perform the tasks of a gateway, such as a default gateway or router. Day-to-day computing
(E2)
E2 machines offer the lowest on-demand pricing for general purpose computing, and
support up to 32 vCPUs and 128 GB of memory. They’re good for micro services, virtual
desktops, and development environments. Balanced price and performance (N2, N2D, N1)
N2, N2D, and N1 are second generation general-purpose machines offering the best priceperformance ratio. They support up to 224 vCPUs and 896 GB of memory and are good for
web serving, app serving, and back office applications. Ultra-high memory (M2, M1)
Memory-optimized machines offer the highest memory configurations with up to 12 TB for
a single instance. They are well suited for memory-intensive workloads such as large inmemory databases like SAP HANA and in-memory data analytics workloads. Computeintensive workloads (C2)
Compute-optimized machines provide the highest performance per core on Compute
Engine and are optimized for workloads such as high performance computing (HPC), game
servers, and latency-sensitive API serving. Most demanding applications and workloads
(A2)
Accelerator-optimized machines are based on the NVIDIA Ampere A100 Tensor Core GPU.
Each A100 GPU offers up to 20x the compute performance compared to the previous
generation GPU. These VMs are designed for your most demanding workloads such as
machine learning and high performance computing.
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FIG.2:
1. Short title and commencement. - (1) These rules may be called the Uttar Pradesh Zila
Panchayat Monitoring Cell Gazetted Officers' Service Rules, 2004.
(2) They shall come into force at once.
2. Status of the Service. - The Uttar Pradesh Zila Panchayat Monitoring Cell Gazetted
Officers' Service is a Service Comprising Group 'A' and Group 'B' posts.
3. Definitions. - In these rules, unless there is anything repugnant in the subject or
context-
(a) "Act" means the Uttar Pradesh Public Services (Reservation for Scheduled Castes,
Scheduled Tribes and Other Backward Classes) Act, 1994;
(b) "Appointing Authority" means the Governor;
(c) "Citizen of India" means a person who is or is deemed to be a citizen of India under
Part II of the Constitution;
(d) "Commission" means the Uttar Pradesh Public Service Commission;
(e) "Constitution" means the Constitution of India;
(f) "Government" means the State Government of Uttar Pradesh;
(g) "Governor" means the Governor of Uttar Pradesh;
(h) "Member of the service" means a person substantively appointed under these rules
or the rules or orders in force prior to the commencement of these rules to a post in
the cadre of the Service;
(i) "Other backward classes of citizens" means the backward classes of citizens specified
in Schedule I of the Act, as amended from time to time;
(j) "Service" means the Uttar Pradesh Zila Panchayat Monitoring Cell Gazetted Officers
Service;
(k) "Substantive appointment" means an appointment, not being an ad hoc
appointment, on a post in the cadre of the service, made after selection in
accordance with the rules and, if there were no rules, in accordance with the
procedure prescribed for the time being by executive instructions issued by the
Government;
(l) "Year of recruitment" means a period of twelve months commencing from the first
day of July of a calendar year.
The current orthodoxy within patient safety research and policy is characterised by a faith
in rules based systems which limit the capacity for individual discretion, and hence
fallibility. However, guidelines have been seen as stifling innovation and eroding trust. Our
objectives were to explore the attitudes towards guidelines of doctors and nurses working
together in surgical teams and to examine the extent to which trusting relationships are
maintained in a context governed by explicit rules.
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Fourteen consultant grade surgeons of mixed specialty, 12 consultant anaesthetists, and 15
nurses were selected to reflect a range of roles. Participant observation was combined with
semi-structured interviews.
Doctors' views about the contribution of guidelines to safety and to clinical practice differed
from those of nurses. Doctors rejected written rules, instead adhering to the unwritten
rules of what constitutes acceptable behaviour for members of the medical profession. In
contrast, nurses viewed guideline adherence as synonymous with professionalism and
criticised doctors for failing to comply with guidelines.
Development of IoT based health monitoring system allows a personalized treatment in
certain circumstances that helps to reduce the healthcare cost and wastage with a
continuous improving outcome. We present an IoT based health monitoring system using
the My Signals development shield for Arduino Uno.

Evaluating the performances and effectiveness of the sensors and wireless platform
devices are also the aim of the project. My Signals enables multiple sensors such as
temperature, ECG, oxygen saturation and pulse rate to gather the physical data. The aim is
to transmit the gathered data from My Signals to a cloud or pc by implementing a wireless
system with LoRa. The results show that MySignals is successfully interfaced with the ECG,
temperature, oxygen saturation and pulse rate sensors.

36.5-37.50C body temperature, 60-100 bpm pulse rate, and 96-99% oxygen saturation
have been experimented with confidence interval approximation of 95%, 99% and 99%,
respectively.

The communication with the hyper-terminal program using LoRa has been implemented
and an IoT based health monitoring system is being developed in MySignals platform with
the expected results getting from the sensors -Health has prime importance in our daytoday life. Sound health is necessary to do the daily work properly. This project aims at
developing a system which gives body temperature and heart rate using LM35 and pulse
sensor respectively. These sensors are interfaced with controller Arduino uno board.

WE CLAIMS
1. Our Invention IoT-based health monitoring system over 4G network is a remote
health monitoring of patients at home is aware with the popularity of various nature
of advanced mobile devices. The Invention is to a global cloud as well as IoT
(Internet of Things) and the 4-G mobile technologies make comfort to monitor the
patients’ health conditions by sharing only real-time health information to health
care unit such as doctors, nurses. Remote monitoring and guidance awareness by
sharing real-time all information in an authenticated manner is the main focus and
the supporting sensors integrated with IoT healthcare can effectively analyze and
gather the patients’ physical and virtual health data that has made IoT healthcare
ubiquitously allow. The invention is a continuous presence of the healthcare defined
professionals and staff, as well as the proper amenities in remote areas during any
emergency situations, need to be addressed for developing a flexible IoT-based
health monitoring system. Wireless data transmission done by Arduino through
WiFi module is used for wireless data transmission on IoT platform i.e. thing speak.
Data visualization is done on Thing speak. So that record of data can be stored over
a period of time and this data stored on a web server so that it can see to who logged.
2. According to claim1# the invention is to an Our Invention IoT-based health
monitoring system over 4G network is a remote health monitoring of patients at
home is aware with the popularity of various nature of advanced mobile devices and
also the invention is to a global cloud as well as IoT (Internet of Things) and the 4-G
mobile technologies make comfort to monitor the patients’ health conditions by
sharing only real-time health information to health care unit such as doctors, nurses.
3. According to claim1,2# the invention is to a Remote monitoring and guidance
awareness by sharing real-time all information in an authenticated manner is the
main focus and the supporting sensors integrated with IoT healthcare can
effectively analyze and gather the patients’ physical and virtual health data that has
made IoT healthcare ubiquitously allow and also the invention is to ban the
invention is a continuous presence of the healthcare defined professionals and staff,
as well as the proper amenities in remote areas during any emergency situations,
need to be addressed for developing a flexible IoT-based health monitoring system.
4. According to claim1,2,3# the invention is to a Wireless data transmission done by
Arduino through WiFi module is used for wireless data transmission on IoT
platform i.e. thing speak. Data visualization is done on Thing speak. So that record
of data can be stored over a period of time and this data stored on a web server so
that it can see to who logged.