Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post COVID-19 Landscape E-Book
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- Herausgeber: Bentham Science Publishers
- Kategorie: Fachliteratur
- Sprache: Englisch
This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand.
Chapters cover the following topics:
- A COVID-19 care system for virus precaution, prevention, and treatment
- The Internet of Things (IoT) in Telemedicine,
- Artificial Intelligence for Remote Patient Monitoring systems
- Machine Learning in Telemedicine
- Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions
- COVID-19 virus contact tracing via mobile apps
- IoT and Cloud convergence in healthcare
- Lung cancer classification and detection using deep learning
- Telemedicine in India
This book will assist students, academics, and medical professionals in learning about cutting-edge telemedicine technologies. It will also inform beginner researchers in medicine about upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control and cancer diagnosis.
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Seitenzahl: 274
Veröffentlichungsjahr: 2003
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PREFACE
This book aims to compile innovative methods and literature related to telehealth and telemedicine that will assist in determining whether there is a need or urgency to intervene, as well as the risk to healthcare workers. Telehealth refers to a wide range of technology and services used to provide patient care and improve the overall healthcare delivery system. Telehealth is distinct from telemedicine because it encompasses a broader range of remote healthcare services.
The content presented in this book offers a variety of methods/techniques that will provide an effective and sustainable solution for precaution, prevention, and treatment to stem the spread of the COVID-19 virus. The Internet of Things (IoT) in Telemedicine, Artificial Intelligence for Remote Patient Monitoring System, Convolutional Neural Networks for Skin lesions prediction, Telemedicine with machine learning, Covid-19 virus contact tracing via mobile app, IoT and Cloud convergence in healthcare exploration analysis, and Lung cancer classification and detection using deep learning technique, have all been thoroughly covered. This edited book also sheds light on upcoming trends, challenges, and future research directions in telehealth and telemedicine for the control of infectious diseases. We editors believe that this book will help the researchers, students, academicians, and medical practitioners know and adopt state-of-the-art technologies in telemedicine.
We would like to express our heartfelt gratitude to our reviewers, who have helped despite their hectic schedules. Thank you very much to all our authors for submitting their work. We would like to express our heartfelt gratitude to Bentham Science Publishers for accepting our proposal to edit this book and for their unwavering support throughout the editing process. Thank you to everyone who has contributed, directly or indirectly, to the completion of this edited book.
We believe the efforts we rendered for editing the book are worthwhile only if this book is of any use to the ordinary end-users of our society. This gratification will motivate us to produce more edited publications that will benefit society.
List of Contributors
Applications of Internet of Things in Telemedicine
Kumari K Anitha1,*,Avinash Sharma2,T Subitsha1,Varsini S Muhil1,D Apoorva1Abstract
The term ‘telemedicine’ is referred to as healing remotely with the help of digital technologies by healthcare providers to detect and treat sufferers. Due to necessary physical distancing and lack of appropriate treatments during the Covid-19 pandemic times, telemedicine has proven to be a secure interactive mechanism between patients and medical professionals. The telemedicine framework is part of the Internet of Medical Things (IoMT) since it allows many medical devices to connect and share data. IoT has a lot of benefits in Telemedicine. It aids doctors in gaining access to vital data from medical devices, real-time monitoring of patients, assisting sick and elderly people, and distant medical support. Apart from benefits for patients, it also benefits hospitals and insurance companies. Moreover, distant monitoring of a patient's condition tends to shorten hospital stays. It has a huge effect on lowering healthcare costs and enhancing treatment methods. Many wearable devices, like heart rate monitoring devices, blood pressure monitoring devices, glucometers, etc., provide a way to access the patient’s health information. The proposed study revealed different applications of IoT in healthcare for various diseases and disorders, various medical sensors, and notable wearable devices in healthcare.
INTRODUCTION
The world has shrunk in size as a result of technological advancements, and individuals increasingly interact with things as well as other people. Everything may now be internet-connected due to the Internet of Things.
The Internet of Things connects multiple devices. As a result, this notion makes life much easier for humans. Since the Middle Ages, one of the most pressing issues people have faced has been health.
Even though health conditions are becoming more prevalent, the globe lacks sufficient health professionals to address them. Health issues are one of the major concerns of governments and organizations in developing economies. A key issue is a lack of facilities to provide home therapy. It has piqued the interest of IoT experts, and it is the most promising option we have since IoT allows people to control their health problems while still receiving assistance in critical situations. Doctors, on the other side, can simply manage and consult patients.
Numerous innovative IoT apps have been created to assist doctors and healthcare officials throughout the years. IoT aids healthcare in providing better functionality by enabling patient administration, medical recordkeeping, healthcare emergency preparedness, treatment supervision, and other services, all of which contribute to the overall quality of service applications. IoT is used in hospitals to continually monitor patients and deliver real-time health care services.
The IoT can properly track people, services, and objects. As a consequence, examining the data yields precise findings. As in the health sector, precise data leads to the most effective treatments. Through IoT, clinicians may use connected instruments to monitor vital signs as well as other biometric data of patients. As a result, illnesses and issues might be identified rapidly. IoT allows hospitals and ambulance services to be alerted rapidly whenever patients want their services. Additionally, IoT allows roads and traffic signals to be regulated to enable ambulances to get to the clinic fast.
The quick increase in population has created several obstacles for health care, eventually resulting in a lack of healthcare resources. It is critical to tackle these problems and give a quick remedy based on minimal available resources. Because of its ease of use, IoT, smartphone, and internet connectivity give the greatest option. The primary goal of IoT-based medical care is to deliver a great user experience at a reasonable cost while also improving the quality of life. The main purpose of the Internet of Things is to link patients with chronic conditions to access healthcare resources and to offer them trustworthy, efficient, and intelligent healthcare services [1].
Mobile computing, in turn, delivers services to IoT through mobile phone services, applications, and the m-health medical system. M-health helps the Internet of Things by providing features such as portability, IP connection, low battery utilization, and security. IoT can keep people healthy by reminding them to perform the essential steps to stay healthy. People are familiar with smart wearable gadgets. IoT can maintain physical fit by reminding them to take the essential steps to stay healthy. People are familiar with wearable medical gadgets, and they have influenced the wellness domain [2].
Physicians can communicate with patients more effectively than before with such facts, and people are happy with their treatments. Even though IoT promises to enhance patient care, increase healthcare services and workflows, continually enhance, and generate cost reduction, there are enough challenges to solve. Confidentiality, security, availability, and technical difficulties were among the challenges. IoT is indeed a relatively new idea like many health care providers and patients, particularly the aged, who stand to profit from it more. The application of IoT in medical care, on the other hand, is unavoidable [3].
IOT ARCHITECTURE FOR THE HEALTHCARE DOMAIN
There is no broadly agreed-upon structure for the Internet of Things. Several researchers have identified various designs [4-6].
Fig. (1) shows the five-layered architecture of IoT. The IoT framework in health care delivery is made up of five main levels they are,
Fig. (1)) Five layered architecture of IoT.Perception Layer
The physical layer, which contains sensors for perceiving and receiving information about the surroundings, is the perception layer. It detects physical characteristics or recognizes other smart things in the surroundings. Its capabilities are also employed to receive and interpret sensor data.
The Internet of Things is founded based on sensing and identification techniques. Radiofrequency identification (RFID), Pressure sensors, Proximity sensors, Global positioning systems, medical sensors, and Light sensors are examples of sensors that can detect changes in the environment.
Such sensors provide full perception via object detection, position identification, and geographical recognition, as well as the ability to transform this data into digital data for easier network transfer. Sensor technology enables real-time tracking of treatments and the collection of many biological characteristics about a person, allowing diagnoses and elevated treatment to be delivered quickly. Although there are several instances of live-saving IoT wearable sensors, not every one of them has been clinically validated or found to be effective or useful.
Transport Layer
Using networks such as WiFi, RFID, etc., the transport layer sends sensing data that is forwarded to the processing layer from the perception layer.
IoT technologies' network level comprises wired and wireless network connections that transmit and hold processed data locally or at a central point. Low, medium and high frequencies can be used to communicate between objects, but the latter is the primary emphasis of IoT. Fourth-generation mobile networks have even seen greater communication potential, and emerging 5G networks are predicted to be a significant factor in the expansion of the Internet of things for health care, with the ability aimed at providing stable connectivity to multiple devices at once.
Processing Layer
The middleware phase is also called the processing layer. Massive volumes of data from the transport layer are stored, analyzed, and processed by it. It can handle and provide a wide range of services to the bottom layer. Numerous technologies are used, including database systems and cloud computing.
Data is delivered to a centralized public cloud or retained locally (typically decentralized). Cloud computing for healthcare provision has several advantages, including being pervasive, versatile, and expandable in terms of data capture, storing, and transfer amongst cloud-connected equipment. The cloud might be used to provide information on electronic health records, medical records, healthcare IoT devices, and data analytics that power predictive analytics systems and treatment methods.
With much more cloud services approaching the health industry, it's much more necessary than ever to have evidence to back up their usefulness and security, as well as the capacity to deal with health information security, as well as the dependability and openness of that information by third party companies. Moreover, it has been claimed that consumers will soon face challenges with centralized cloud storage, such as enormous data accumulation.
Application Layer
The application layer is in charge of providing users with application-specific services. It specifies a variety of IoT-based Applications, such as home automation, smart cities, and health monitoring, among others.
Deep learning and IoT can help doctors see what they can't see and provide new and improved diagnostic capabilities. Although diagnostic certainty will never be perfect, integrating machines and physician knowledge consistently improves the performance of the system. Artificial Intelligence may also help with disease control, as well as providing massive information and analysis from mHealth applications and IoT applications, and are finally gaining traction in the medical field. Forecasting risk, future healthcare consequences, and care decisions in diabetes and psychological health, forecasting the evolution of heart problems, and neurological disorders are just a few examples.
Business Layer
The business layer is in charge of the entire IoT system, which includes applications, profit models, and user privacy.
A Basic IoT Architecture for Healthcare (Fig. 2) represents the basic IoT Architecture for Healthcare.
Environmental Setup
The IoT environment provides hardware and software components to read the sensor signals and display them in the output devices.
Sensors
The patient records/data are collected with the help of different IoT sensors like pulse-oximeter, electrocardiogram, thermometer, fluid level sensor, and sphygmomanometer.
Network Connection
IoT devices like sensors from microcontrollers are connected to servers using WiFi or Bluetooth. The connectivity is bidirectional; they could also read data from the server and transfer it to the server.
Data Analytics
The collected data about the current patients is correlated with the data in the sensor to get the healthy parameters of the patient. Based on the result of analyzed data, patient health is upgraded.
Monitoring
IoT systems provide access to healthcare professionals to keep monitoring the health status of the patients along with their details.
Fig. (2)) Architecture of an IoT Healthcare.BENEFITS OF IOT IN HEALTHCARE
The evolution of telemedicine can be aided by the IoT in many ways by providing support to healthcare through enhanced quality of service. This has emerged as superior and more helpful in numerous one-to-one remedial strategies. Some of the advantageous angles of IoT in healthcare telemedicine are as follows [7, 8]
Precautionary Medicines Abilities can be Improved by IoT
With IoT records, we will recognize the exact circumstance of the affected person and reply consequently. The gathered facts let medical doctors observe the modifications and at once cope with any problems without anticipating signs and symptoms to emerge as obvious. For those purposes, combining AI technology for records analytics with massive IoT records works great.
Alerting Medical Personnel
It is certainly considered one of the largest IoT advantages in healthcare that could make a distinction for the group of workers at the frontline. In instances of pandemics, an increasing number of sufferers want persistent assistance. Nurses' or medical doctors’ paintings past their capabilities. They want equipment to assist dozens or even masses of sufferers in real-time. Using the IoT monitoring systems, they can get notified straight away while important modifications in sufferers’ factors occur, and quickly find sufferers who want assistance and direct help.
Faster Handling of Patient Data
For processing various types of patients’ data usually clinicians spend lots of time. Using IoT, the process will become easier and will take only some minutes. Various possible treatment decisions can be provided by blending IoT with AI and ML.
Better Control of Medicine and Medication Adherence
With the help of Clinical applications, the medical experts and other health care personnel can track the patient’s medicine in taking and alert them if they have not taken it even further this whole process can be automated.
Minimized Human Error Rate
At times assessments blend up, or the health practitioner can also make an incorrect dimension or wrong assumption. The human issue in medication can
cause critical outcomes. With IoT, this is prevented with checks and balances. Machine intelligence mixed with human knowledge increases predictive accuracy.
Reduction in Expenditures
With the help of IoT, good quality medical support can be provided without in-person visits to the hospitals. It will decrease the patient’s medical expenses. Clinics can also eliminate needless charges due to remote monitoring.
Healthcare Access in Villages and Towns
Many villages and towns are lacking in modern innovative healthcare services. Hospitals and governments can work together to bring IoT for supplying desirable healthcare aids to those areas.
Advantages in Health Insurance
The Insurance Company can use statistics gathered via those linked healthcare gadgets for or her claims handling and become aware of fake claims. It additionally guarantees that claims are treated with complete transparency. Some companies may supply rewards to policyholders for those who use IoT gadgets, observing the consumer has followed the remedy suggestions in the healing phase.
Sensors
Sensors are crucial in the development of IoT systems. Sensors are devices that receive outside data and convert it into a signal that machines and humans can recognize. This section discusses various medical sensors in the healthcare domain [9-11].
Air Bubble Detectors
Air bubble detectors are used in medical apparatus to sense the existence of air bubbles in dialysis machinery, infusion pumps, transfusion lines, and blood treating systems, and hence serve an important safety function in this equipment. Bubble detection is critical for ensuring a stable fluid flow circuit and avoiding air embolism issues. The high acoustic impedance differential that appears in between a tubular wall or liquid and the air is used to locate air contained in the fluid flow.
Two piezoelectric ultrasonic transducers serve as a transformer and receiver in air bubble detectors. The high acoustic impedance differential that exists between the tubing wall/fluid and the air is used to detect air present in the flowing fluid.
Force Sensors
The Force sensors are tiny, lightweight form making them a perfect force measuring option for medical equipment. The sensor delivers quantifiable information that improves the device's functionality. Physicians and therapists may use this information to remove uncertainty, enhance healthcare quality, and increase uniformity.
Electrodes and sensing film make up force sensors. Force-sensing resistors are used in the development of the sensors. The force sensor's main functioning concept is that it responds to the applied force and converts it to a measured number. Because the human body is such a delicate object, the amount of force used during treatment is crucial. When a force is applied to the film's surface, microsized particles come into contact with the sensor electrodes, changing the resistance of the film.
Infrared(IR) Temperature Sensors
Infrared (IR) temperature sensors are used in clinical uses to monitor the temperature without touching anything. IR sensors work by focusing the infrared energy emitted by an object onto one or more photodetectors. The energy is converted into an electrical signal by these photodetectors, which is proportionate to the infrared energy emitted by the object. Because the emitted infrared radiation of each item is proportional to its temperature, the electrical signal offers an exact readout of the temperature of the thing it is aimed at.
The most typical uses for this sort of temperature sensor are ear, forehead, and body temperature measurement. To detect an object's infrared radiation, the sensing element is made up of several thermocouples on a microchip.
Humidity Sensors
The humidity sensor is used to detect the dew point and absolute humidity or moisture content of the air to source the patient with suitable moisture air. It contains the humidity sensing element and the thermistor to measure the temperature. The humidity sensor operates by detecting changes in the dielectric material's electrical permittivity. The relative humidity values are calculated using the measured value. Humidity is not directly measured by the humidity sensor. To determine humidity, temperature, pressure, mass, and resistivity are all measured.
The criteria used to measure humidity are used to classify humidity sensors. Capacitive Humidity Sensors, Resistive Humidity Sensors, and Thermal Conductivity Humidity Sensors are examples of humidity sensors. When selecting a humidity sensor, accuracy, linearity, reliability, repeatability, and response time are all factors to consider.
Humidity sensors output the digital value, and these types of sensors are also used with microcontrollers like Arduino, and Raspberry Pi boards.
