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Table of Contents
Technological
Improvement is covering all major fields of life. Industries and developing
business are adopting state of the art facilities to serve the business and to
improve the working capacity besides the medical facilities are improving. In
this project is to discuss the new project idea that will resolve the existing
problems associated with technological development in the medical industry. The
research aims to provide artificial intelligence-based sensory devices that
will improve health care services. The research applications are in the Healthcare
sector and the business sector. Ultimate improvement will be observed in
Healthcare services with the implementation of new technology and related to
the techniques
Technology is growing day by day and
many developments made to improve many areas. Technology has facilitated almost
every field of life, especially many industries to enhance production and
management quality. Therefore, many businesses have adopted a new state of the
art technology to increase their production speed to obtain a competitive
advantage in the existing market. Technology is not only providing its services
to business organizations but also facilitating the medical industry. With the
increased use of IT applications, scientists also introduced artificial
intelligence and IoT devices which can be very helpful in the medical industry.
The selected project is sensing devices and their implications for the medical
industry. The reason for choosing a medical related project is to analyze how
helpful technology for the medical industry is. Furthermore, medical
organizations are also focusing to adopt a state of the art technology to
improve work. By lookingat the applications of AI and IoT devices, it is
decided to select this project because this technology can help the medical
industry in the future as well as generate accurate result results. In this
project, different courses are relevant to this project like programming
subjects,Artificial Intelligence, robotics as well as electronics physics
because the sensing devices project is a mixture of different courses. The
project will be efficient in the medical industry because many healthcare
organizations are facing difficulties in testing patients. Furthermore,
patients have to face problems like spending more time in the clinic to wait
for their medical tests from the laboratory including the checkup. The project
can help the medical industry to increase the speed of diagnosis and checkup
using sensors and it will have the ability to provide the most accurate results
on the basis of the medical condition of patients. Thus, the satisfaction
levels of patients and doctors will be enhanced
In
this project, there are different aims and objectives related to this project
discussed and what the project idea is proposing to solve the existing problem.
In this section, some most important objectives are discussed.
RQ1: how the state
of the art technology can help the medical industry and how we can use sensory
devices to diagnose or checking health conditions?
RQ2: how can we use
AI-based sensory devices to collect accurate results to improve the provision
of care to patients?
RQ3: can these
devices and technology be helpful in the medical industry and how can this
technology help the staff of healthcare to increase the efficiency of working
and treatment?
O1: the primary objective
of this research study is to work on the AI-based IoT system, which will help
in monitoring the health conditions of patients.
O2: the work will be done
to making many improvements in the checkup, diagnosis as well as treatment
procedure of the patients. With the help of sensing devices used in the system,
the doctors and healthcare professionals will be facilitated to check the patient’shealth.
O3: another objective of
this project is to monitor the health status of patients using sensors, which
will generate results that are more accurate and analyzed by the doctors.
In this research
project, it is used different studies such as articles as well as many other
sources related to this technology. It is determined that many people have
worked on this idea and developed their valuable applications and systems to
facilitate the medical industry. Reading the related studies and researches on
the technology, it is determined that the medical industry facing many problems
in its business operations because they have to use the typical methods to
perform all treatment work which is difficult and time-consuming for medical
staff. Furthermore, the researchers have provided a strong idea of problems
faced by staff and patients in healthcare organizations. To achieve the aims
and objectives of this project, the study of the programming languages, AI, and
robotics-assisted and provided a direction to work on this project. On the
other side, some related studies also helped that the use of technology and
different technological applications in the healthcare industry can easily
improve the efficiency of the medical staff and help them improvethe treatment
of the patients. Although, the skills of programming and the knowledge of
artificial intelligence have provided to achieve the objectives of the project
because the skills of programming, robotics, and artificial intelligence are
the core of the development of the system. The reasonforreading the related
works and studies is to take the brief concept of problems faced by the medical
industry and to determine other scientist's comments on resolving the problems
and what technology they used to tackle. Programming approaches and other
subjects' knowledge will help to develop the system.
As stated by Bhatia & Sood (2017), the tremendous capacity of IoT has
allowed the interpretation and examination of situations in real-time in an
omnipresent way. In addition, IoT's inclusion in the medical field prompted
researchers around the world to create intelligent technologies such as mobile
medical treatment, health literacy, and intelligent health care networks.
Driven by these factors, this research offers an intelligent IoT-based health
system that provides all-around health treatment for the individual during workouts.
The intelligence of the present system is focused on its ability to interpret
health conditions in real-time and forecast the probabilistic vulnerability of
health conditions during testing. The suggested structure permits the use of
the Artificial Neural Network model (ANN) for predictive purposes, which involves
three stages, including tracking, learning, and forecasting. The presented
paradigm also supports a statistical basis for forecasting probabilistic
vulnerability in terms of probabilistic vulnerability (PSoV). The validity and
applicability of the proposed system were tested by the use of multiple smart
sensors for 14 days by five people with various attributes. The findings
indicate that the method proposed is superior in efficiency and highly
successful in health care during testing compared to different state-of-the-art
strategies
Gandhi & Ghosal,
2018 also described that the internet of things
(IoT) makes different artifacts and human beings smarter. IoT has numerous
applications across various fields, such as a smart house, smart city, traffic
management, wearable, smart car parking, etc. IoT has various applications.
This article includes a comprehensive IoT survey of Smart Health System.
Different new technologies are discussed in this paper along with their
implementations. In the world of healthcare, IoT is a new trend.The use of the
Internet to gather the patients' full records is particularly efficient, so
that the use of the Internet to obtain information from patients accelerates
drug speed and, as a result, continues to increase the level of care given to
the patient. The Internet is used for the collection of patient information. Thus,
IoT has proven itself as a basis to connect all tools to improve the quality of
human life and medicine
The results are showing the different
aspects of using IoT devices in healthcare organizations. Furthermore, the
results related to the technology are illustrated in the diagrams. Furthermore,
the result is illustrating that different healthcare organizations used the IoT
technology in which the sensing devices were also included, effectively
generated the most accurate results. However, the working staff could able to
perform their daily tasks easily. The most interesting result of using the AI-based
IoT technologicalsystem is that the efficiency of dealing with the patients
improved in which different types of datasets included. The results were also
accurate and very near to the accurate results. In this case, it became easier
for the medical staff to diagnose patients as well as to predict the health
conditions of the patients in hospitals. The process of the prediction and
health status checking did also increased the speed of the working operations. Asa
result, the system can perform different activities in a time.
Figure: efficiency of the system increased and
providing improved results
In this project, I have analyzed different research
articles to identify the actual problem as well as worked on the problem
statement. I have read different studies of different scientists that worked on
similar types of projects. One of the most important study I found during researching
which was about using IoT technology in healthcare to determine the health
status of infants, which is the most relevant study with my project. On the
other side, I have improved the problem statement and worked to define my
project’s research questions and project objectives telling what I am going to
do. To work properly on this project, I have also gathered knowledge on
robotics, artificial intelligence as well as improved my programming skills. All
of the skills I have improved will be used in the proper development of the system.
Currently, I have worked on the timeline, improved my skills, as well as gatheringmany
of the data related to my project. Furthermore, a detailed report is also
created on this project. I have also found different studies and which are
provided in this section.
This paper
examines mock tests in the field of visual sensory design. Visual sensors are a
group of nerves that receive material data with real touch. Intentional
attributes can be structural, for example, temperature, vibration,
non-aggression, face, posture, fragment, and shaving with normal force. The
visual sensor can measure at least one of these structures. Apart from the fact
that pressing factor and force Detection are often excluded without the
definition of acquisition, pressing force and power are important factors,
usually acquired by touch itself, and can be included as material constraints
Improvements in the
acquisition of new assets have been predicted for more than 30 years. Early
scientists, for example, Harmon, saw great potential and the use of touch
detection in high-tech equipment. It is interesting to refer to the findings of
Harmon's theory of improper access to facilities, for example, treatment and
farming due to special problems and low profitability. At the same time,
various scientists, for example, Nevins and Whitney argued that inactive
observations would take away the need for material acquisition. By the early
21st century, it was thought that these inventions could promote the
development of intellectual property and thus improve the quality of human
life. The first sight on this list of materials was advanced medical mechanics
and modern computers. The creators believe that the magnitude of this expertise
is enormous and lies among the many different controls, as examined later in
Section 4.5 of this audit and summarized in Table 6.
This review will
show, however, that, until the 1990s. The importance of the material framework
is seen in applications where other acquisitions, for example, an idea may not
be the best acquisition method; especially in cases of invalid or limited
space, as recently tested. However, the value and effort placed on developing
visual senses over the years, the sensory perception that can give criticism to
link a person’s sense of touch is not yet accepted and thus hinders progress in
fields, because, for example, repair technology and less obvious medical
procedures. 1.3. Before the new Force research and instrumentation research, it
is now a diverse task. All remote access to new metal sensor objects has been
pre-made and available for recording. Quick lessons were passed
published by
Harmon in 1980, 1982, and 1984. The acquisition of equipment for mechanical
technology and mechatronics applications has also been explored and described
in writing. In 2000, Lee distributed a short, but far-reaching study of the
acquisition of new assets and examined the reasons for the postponement of the
approval of this broadcast in the automotive and consumer markets. In 2003,
Eltaib and Hewit analyzed the perceptions of unpopular medical practices and
reaffirmed the importance of naming this particular field. Apart from the fact
that a variety of books made by advanced mechanics and sensors cover the visual
senses, there are very few books designed exclusively for the visual senses.
A few critical
books have also been circulated on visual discoveries. Wittels in his book
illustrated how a sensor can affect human skin. Perhaps the most comprehensive
source of biological material was published in 2009 by Najarian and Dargahi.
This book includes nuts and bolts for human acquisition, automatic birth
discovery, and use in natural design regions. Contrary to previous forensic
audits, this paper expands previous surveys by paying attention to the current
state of the art series, patterns in visual sensory research, incredible
complexity to survive, activity levels and focus points, and the lack of
various sensory systems are also examined. We, therefore, propose additional
use of these innovations, in the field of sports, aviation design, and
automotive manufacturing and recovery drugs, in addition to the newly
investigated sectors. We start with a diagram of some of the most common
shipping procedures.
Other techniques
that often investigate asset transfer techniques are based on capacitive,
piezoresistive, thermo resistive, inductive, piezoelectric, attraction, and
light techniques. The natural values associated with these methods have their
favorable conditions and weaknesses, underpinned. All in all, capacitive,
piezoresistive, piezoelectric, inductive, and optical techniques reflecting the
most common and interesting display and are often the preferred choice of
neuroscientists. In this section, we provide a brief overview of these
strategies and their focus points and specific barriers; this is also
summarized in the report.
The capacitive sensor
consists of two-conductor plates with dielectric objects wrapped between them.
For capacitors of equal plates, the capacitance power can be expressed as, C =
(Aε0εr) / d. Where C is strong, An is the cover of two plates, ε0 is the
allowable space for free space, εr is the total allowance of the dielectric
object and d is the distance between the plates. The most powerful material
sensors show good repetitive responses, high spatial purpose, and have very
powerful access. These sensors are less sensitive to noise, especially in
lattice setups due to crosstalk noise, field interaction, and bordering power,
and require more complex common gadgets to filter this noise.
These sensors
are constantly exposed to stress-inducing changes in the energy supply. The
voltage - normal flow of the primary resistive component can be expressed as, V
= IR; when V is electric, I am flowing and R is the electrical resistance of
that object. Usually, another voltage (or current) property is set and the
blocking correction is reflected by the current (or voltage) adjustment. This
opposing component looks like a flexible ink, elastomer, or pressure-driven
drive ink. They usually require less hardware such asthe change in blockchain
can undoubtedly be explored and in this way easy to create and install. They
are less susceptible to noise and in this way work best on lattice setups as
there is no spoken word or field communication. Contraindicated sensors
experience the negative effects of hysteresis and as a result have a lower
repetitive response compared to powerful visual nerves
A variety of
materials, especially some gemstones and limited pottery production, create
voltages when the gem grid is twisted. The impact of a gemstone depends on its
cutting/construction, allowing it to detect crossing, longitudinal strength,
and shear. The voltage, V, is produced directly to the applied power, compression
factor, or type. These sensors show a very good double response, which is based
on the appropriate decision to measure vibration; however possible, they are
limited to measuring dynamic forces and are unable to measure static energy due
to their large internal disturbances. The case has caused a temporary temporary
decay that is indicated by the internal permeability and the dielectric
constant of the piezoelectric film. During the sensor system, the visual
hardware block chain information should be considered as it completely affects
the gadget response
The key curl
creates an attractive field obtained from the viewing loop of your choice.
Controlling the reduced reduction between curls, for example by changing the
length of the metal center due to a different converter, thus adjusting the
adequacy and time of the measured energy at the conceptual loop. These sensors
have great potential for access and development that is always difficult, but
they are large, making the local goal much lower when displayed. Because of
their mechanical condition, they have less repetition as loops rarely re-visit
the same condition during readings. Since these sensors use rotating cycles on
an important curl, as a result, they generate yield energy by the same
frequency, they require more unexpected gadgets than sensors of opposing
objects as the alternating signal mass must be removed.Select the electrical
sensors using the light source and the transmission and image direction, which
end up as a camera or photodiode. Normal transmission occurs when the change in
medium tweak the transmission or reflectance power, or the light intensity of
the source, as the applied power varies. They have a high local goal, and they
cannot afford to be subjected to the usual recurring power restrictions imposed
by power structures, which is their preferred position. Unless they have many
advantages, their size and consistent nature are at a great disadvantage.
Camera-based sensors require a lot of preparation power but provide a comprehensive
repetitive response
In the late
1970s, various difficulties arose. Unless the need for innovation was
acknowledged by many, and some success was achieved in showing that it was
possible to take care of real issues, as explored in section 3.1.1, the
acquisition of assets was often declared as a small test region within an
important business. The main explanation is that mechanical and PC technologies
were beginning to receive funding for testing and financial institutions, as
testing in these fields was not yet in a state of underdevelopment but was
clearly yielding unprofitable profits. In this way, it makes sense to point out
that the acquisition of assets was not of little interest, it could be chosen
from what could turn out to be of interest in building the modern, robust and
fast-moving infrastructure of machines and PCs. A second unavoidable obstacle
to moving forward was the field ministry, the same number of transfers. In
conclusion, the research was insufficient in terms of topic and location, as no
systemic steps were ever determined, taking into account modern or biomedical
needs at the time. Finally, analysts suggest that this field of discovery can
address a wide range of unresolved issues and therefore deserves to be
considered a common area of exploration
Significant
advances in demonstrating the importance of innovation and its possible use
were adopted by Harmon in the 1980s in his survey. The potential for this
invention was further emphasized by two additional papers that followed shortly
thereafter. The lack of access to any of the program steps was still a major
barrier to progress. Harmon has also tried to show models of sensory visual
cues. He studied business through a series of surveys and met and compiled his
own program standards regarding the sensory limits required by respondents at
the time. Harmon recommends that a target of 1-2 mm, a recurring frequency of
up to 100 Hz, a basic ging of 1 g, and an excellent connection between sensory
production and applied energy, are popular signals for many visual senses.
The main purpose
of the experiment was to develop sensors of solid materials for advanced
mechanics. The rules of the proposed Harmon system were often used by experts
to make it legal for them to carry out tests. Improving the visual sensitivity
of clinical gadgets, as outlined in Section 3.2.2, was the next big thing to benefit
region. Because of the combination of biological and material naming, an
important result has been the stimulation of sensory and structural stimuli
that can reflect mechanoreceptors' response to human skin. Rossi felt that
analysts' tendency to create sensors that mimic the structure of human objects
imposed unreasonable limitations on sensory requirements, as the human material
framework may not be the standard response of objects. Rossi accepted that each
plan issue has its complex and important planning, and it forced the need for
various decisions and planning needs.Test patterns to this day are driven by a
gadget instead of making or run by an app. It was hoped that these gadgets
would find the app in the market in progress; although not many, if any, have
arrived on the market or found to be important to the various structures. All
this observation shows that the work over the past decade has progressed
towards the programs that the program is running. Efforts are designed to
address real-life problems, for example, overcoming birth defects, or cerebral
palsy, advancing optimal signals for the visually impaired, and as a guide for
neuromuscular control. Test results could not be routinely transmitted to
actual clinical applications due to administrative limitations required before
the use of new gadgets in clinical settings. Another impressive area of
testing was the development of a visual aid gadget for the visually impaired,
to improve access to standardized data for visually impaired people. The gadget
enabled weak vision to use data stored in PC memory. The framework consisted of
a multi-sensor sensor, an information memory unit, and a voice synthesizer. By
touching the point of visual perception, comparative details in the memory were
entered. Apart from the fact that it was a very inspiring program with a real
need, all things considered, the program was blocked by the lack of new
advances in data storage and access gadgets.
The best
exhibition in the material class, thanks to a very wide integration (VLSI)
cluster, was created in the 1980s. The power transfer is performed using
conductive and elastic metal anodes assembled outside of an intentionally
integrated circuit. The use of new VLSI machines has promoted an integrated,
low-cost check, sequential yield, and high-sensory display that can operate at
an extremely high level. A major component of this experiment was the
presentation of ideas for a proven, faster, and higher local goal in
innovation. The significant cost of VLSI-based programs kept this approach
within the limits of the lab, a small acceptance by the industry.
The project is still in progress and needs more research
as well as more programming and technical skills to be completed. Currently, a
brief problem statement has been created and different studies are also
included in the research for further development. The hardware is also arranged
and needs to be assembled. After assembling the hardware, the programming work
will be performed and the whole system will be tested.
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