Notes on Developing Healthcare using Internet of Things (IoT)

Introduction

The rise in health issues and the decrease in the proportion of doctors have increased reliance on medical checkups.
Healthcare systems are connecting with the Internet of Things (IoT) to retain each patient's digital identification.
IoT-based healthcare options enable continuous tracking and analysis of patient data.
This paper discusses IoT for healthcare systems, including applications, structures, potential design issues, future directions and a review of past research, especially during the Covid-19 pandemic.

IoT Definition and Significance

IoT is a concept where physical objects are connected to the internet, self-identify, and interface with other devices locally and remotely.
It ties together elements for any service and network, offering smart services in healthcare.
The IoT revolution connects billions of smart elements (tablets, wearables, smartphones) and cloud health apps via communication channels like Bluetooth, RFID, and WSN.
The rapid progress in internet technology and AI has created a need for IoT.
Internet and cellular networks have evolved into networks of gadgets, including medical equipment, capable of communication and sharing.
Cars and home appliances are connected using protocol-based structures for smart reorganizations and electronic upgrades.
The IoT refers to ordinary objects recognizable, understood, defined, and managed via the internet through information sensing devices.

IoT Components and Paradigm Shift in Healthcare

IoT involves smart things and gadgets connected to the internet via physical devices, microcontrollers, sensors, and networking systems for data sharing and collection.
This has led to a paradigm shift in how people and medical professionals interact in healthcare.
Information technology is used to develop creative solutions that improve health diagnostic and treatment accuracy.
Intelligent health surveillance frameworks and automated medical diagnosis systems reduce the cost of doctor visits and improve overall patient care quality in various settings.
The use of IoT in healthcare is expected to reduce costs, enhance living standards, and enrich health data for research.

Paper Structure

Section 2: Describes IoT in healthcare.
Section 3: Related work.
Section 4: Architectures required for IoT-based healthcare systems.
Section 5: Technologies required for IoT-based healthcare systems.
Section 6: Advantages of using Healthcare systems.
Section 7: Disadvantages of using Healthcare systems.
Section 8: Applications using Healthcare systems based on IoT.
Section 9: Possible challenges and design issues.
Section 10: Future directions.
Section 11: Recent survey in healthcare.
Section 12: IoT & Covid 19.
Section 13: Conclusion.

IoT in Healthcare: Smart Gadgets and Data Collection

Smart gadgets in IoT enable computer and machine-to-machine connection, and human engagement.
They are "smart" due to integrated sensors that collect data for analysis and action.
Smart healthcare integrates sensors and actuators for patient monitoring and medication tracking.
The amount of data will increase logarithmically as more people employ wearable or embedded microdevices for health monitoring.
Improvements in healthcare systems have created enormous prospects for smart technology and smart healthcare implementation.
Many sensors have been developed to check vital signs, including oxygen levels, temperature, body pressure levels, and heartbeat rate.
By 2030, the IoT is predicted to have about 500 billion or more things connected, about 60 times the amount of people on Earth.
All things are remotely connected via the IoT for data exchange and control.
The gateway collects physical health data provided by sensors, such as blood pressure, ECG, EEG, and body temperature.
This data is analyzed, compiled, and sent to connected hospitals or healthcare providers through the internet.

Research Projects and Smart Health Monitoring Systems

Several research projects have proposed smart health monitoring systems based on IoT.
Table 1 in the paper summarizes a range of research articles to show advancements in IoT-based healthcare systems.

Related Work Survey

Overview of studies on healthcare systems utilizing various systems.
Authors of [16] presented a remote mobile health monitoring system that delivers patient health measurements by reducing extraneous hardware and sending data via a web interface.
Wearable sensors calculate real-time safety parameters, transferred to a smartphone, which displays the patient's health condition in a graphical interface. Family members and doctors can further track data via web interface.
A real-time warning is sent if the patient is in a condition of emergency.
In [17], IoT eliminates uncertainty in the healthcare system even with smart apps.
The expansion of mobile technology and smart gadgets in healthcare has a significant impact.
People are becoming more conscious of the full-fledged usage of M-health and E-health apps in order to improve and preserve high quality of life by monitoring symptoms using the M-health application, educate them on good eating habits and effective exercise routines.
In [18], extensive use of wearable tracking systems poses challenges.
Wearable monitoring systems are used every day primarily on the basis of small scale, rough usage and low energy consumption.
Precision, validity, and credibility of measurement data is required.
Accessibility and user engagement plays a critical role in the daily and long-term use of wearable monitoring devices.
In [19], Bluetooth activated computer often used for monitoring of patients at home.
A Bluetooth-enabled in-home patient monitoring gadget was created to help diagnose Alzheimer's disease using access points and a local database.
The monitoring equipment selects the access point with the strongest signal.
Bluetooth communication is used to track the patient's movement and current location, saving it in a local database.
The hospital decision engine receives the acquired location data and timestamps.
In [20], eliminate the need for a computer with WSN set up at home with nodes connected through the internet to the hospital server. The sensors were only for collecting ECG signals.
The ECG signals were recorded and delivered to the patient's home access point for heart issues identification.
In [21], introduce a new Wearable Mobile Monitoring System (WMMS) built based on an approach to smartphones conveniently wearable on the belt of the patient, tracking the movement of the patient and taking photos of any change in condition.
In [22] a comprehensive survey of the latest literature in the field of the IoT, artificial intelligence (AI) in healthcare, methods used to maintain data privacy.
Table 2 shows a survey about the advantages and disadvantages of techniques used in modern important papers based on the IoT.

IoT Architecture in Healthcare

The growing number of architectures available did not converge into a reference model.
The basic model is a 3-layer architecture (application, network, and perception) that applies to all the models that are currently accessible.
The Perception Layer: Focuses on information collecting and item identification, including physical objects and detection apparatuses, sensor terminals and sensor networks for movement, direction, voltage, temperature, humidity, air quality, wind, vibration measurements, forwarded for transmission to the network layer.
The Network Layer: Moves data collected from the Perception Layer to the application layer, linking to smart objects, network devices, and servers, data from IT infrastructures.
Application Layer: Figures out the operation, IoT connecting system achieving a large smart application that offers numerous solutions, the interchange of society's information while still assuring information security, providing user-specific services to applications including transportation, housing, cities, lifestyles, markets, agriculture, farms, supply chains, emergencies, healthcare, user interaction, culture and tourism, environment, and energy.

IoT Technologies

Radio Frequency Identification (RFID): Automated, contactless technology that offers items a wireless data transfer communication interface to gather pertinent information, reader, antenna and RFID tag, radio wave communication, tag types (passive, semi-passive, active); enables automatic identification, assigning separate digital identities to objects, integrating them into networks, and connecting them to digital information and services.
Near Field Communication (NFC): Similar settings to RFID, Customer-oriented NFC can be made by cell phones using the RFID reader, radio communication connecting NFC-enabled mobile devices within range of another phone.
Machine-to-Machine Communication (M2M): Exchange of data between intelligent sensors, actuators, computers, mobile devices, and embedded processors, components include diverse access, sensing, information processing, processing and storage of information, applications in smart home technology, smart robotics, healthcare, cyber transport systems (CTS), smart grids and production systems.
Wireless Sensor Networks (WSN): Network of small embedded devices (sensors) that communicate wirelessly in an ad hoc method and are used to sense or monitor physical and environmental factors (pressure, temperature, position, movement), variety of relevant data and are utilized in a variety of industries including defense, seismic sensing, hazardous environment exploration, education, government, and environmental services.
Big Data Collection (BD): Refers to the massive volumes of data as a result of technological developments in a variety of domains, such as the expansion of social media, wireless communication technologies, and cloud computing, characterized by volume (data size), velocity (temporal frequency), and diversity (source-based data kinds). Accurate data collection reduces time and obtain an accurate result to administer medical procedures quickly.

Advantages of IoT in Healthcare

Decreased costs: Linked medical equipment follows patients in real-time, fewer unnecessary doctor visits, home care services minimize stays and readmissions at hospitals.
Reduced errors: Automated workflows and reduced duplication, accurate data collection, eliminates the risk of error.
Improved disease management: Patients are constantly tracked with real-time data, detecting any disease before it spreads.
Better patient experience: Patients become more interested in their diagnosis, improved treatment choices and improved accuracy of diagnosis allow.
Homecare: M2M enables monitoring of patients in their own homes, medical devices with sensors (e.g. heart rate monitors). The hospital receives the collected data and sends it to a skilled staff member who examines it for any problems.

Disadvantages of IoT in Healthcare

Privacy Of Patients: Data protection requires considerable spending to committed to data protection compromised by applications and access to the IoT network.
Accidental Failures: Small error in a patient safety management program can lead to severe consequences, important to consideration in the production of software and hardware.
Lack of encryption: Not every device has great encryption, beastly to encrypt all patient-doctor data.

IoT Applications for Healthcare

Healthcare applications are classified into two phases:
- Clinical applications: Include fitness apps and programs that assist the aged.
- Remote monitoring applications: Specialized for chronic illness, newborn care, infectious diseases, and the elderly.
- Medical applications: Medical emergency applications, real-time monitoring, and early diagnosis, used to monitor patients' compliance with treatment programs at home, help for chronic illnesses, early diagnosis, real-time monitoring, and medical crises.
The IoT Healthcare Systems may be used for: Glucose Level Sensing for Diabetes, ECG to track heart, EEG monitor electrical activity of the scalp and neurons and creating brain-machine interfaces (BMI) and brain-computer interfaces (BCI), Blood Pressure Monitoring using KIT's activated BP sensor and mobile phone, Oxygen Saturation Monitoring using Bluetooth and wearable pulse oximetry.

Challenges For IoT In Healthcare

Security and Privacy: Monitor access to patient requests and sensitive information, encrypt data while sharing data from one computer to another because threat of cyberattack, devices are vulnerable and a main target for external attacks, most dangers and destructive activity are caused by employees and users’ failure to protect their data, data kept for analysis could be vulnerable to attack and easily accessible by all parties.
Integration: Incorporation of multiple protocols and devices within the network when several people can interact effectively with one another and numerous devices are interconnected.
Device Designing issue: Tiny sensors with insufficient CPU power, storage capacity, and battery life, improving an internet of things system with high battery life, increased storage space, increased processing power and protection of usability complaints is still a research challenge.
Reliability: Systemic malfunctions and software problems, susceptible to external threats like power outages or environmental risks, the likelihood of an error occurring increases with the number of active nodes, create a daisy chain in the event of fault tolerance, daisy chain increase dependability even further while accommodating more connections, Increased data rates allowing for speedier exchange of larger data types.

Future Directions

The huge number of advanced internets of thing (IOT) technologies emboldens the researchers to access advanced applications with high speed and accuracy.
New technologies, including, 5G and 6G networks, artificial intelligence (AI), telemedicine, and others, have a major role in the future of healthcare and have created a great chance to build integrated ecosystems for new healthcare prospects.

5G Network for IoT in Healthcare

Fifth-generation wireless networks (5G) have much lower latency (less than one millisecond (ms) compared to around 70 milliseconds on the 4G network) and faster data transfer speeds because they use higher frequency millimeter waves (roughly 100-fold higher than the current 10 megabit per second on 4G).
With minimal signal delay of (20 ms), which is significantly less than that necessary for real-time sensor data integration ( video streaming).
From a technological sense, 5G communications technology holds out a lot of potential for greatly improving healthcare.
5G's vast power paired with artificial intelligence (AI), and the ability to communicate data in order to collect and analyze big data (BD) can be beneficial in understanding the disease development process and increasing forecasting capacities.

6G Network for IoT in Healthcare

Beyond 5G, the next generation of communications to sixth-generation wireless (6G) is nearing the end of its research and development (R&D) phase, with a huge increase in bandwidth and capabilities, allowing the deployment of applications that 5G cannot.
Integration of additional modern technologies, automatic diagnosis can be created at the point of care (edge computing) and relayed to a waiting consulting physician or immediately to the electronic medical record, such as smart gadgets comprised on micro-electromechanical-systems (MEMS) sensors, artificial intelligence (AI), and computationally analytics on one chip.
Another rapidly expanding area of 6G will be virtual reality (VR), in which computer graphics create a simulated presence and enable users to engage with the simulated elements in a manner that seems natural.
The use of augmented reality (AR), which allows for the visual overlaying of computer-assisted information on a real-time display, can have significant effects on the healthcare industry.
From Table 4 shows the expansion of bandwidth, capacities, speed, and latency for current and Next networks, these are projections of the generational averages.

Artificial Intelligence (AI) for IoT in Healthcare

Used to model human behavior, Machine Learning (ML) is the primary source for predictive analytics, algorithms that learn naturally rather than through programming.
Deep Learning (DL) detects crucial "features" and "meaning" in data at various processing stages by using neural networks.
5G and 6G Networks control centers are supported by artificial intelligence, for the enhancement of the current smart healthcare, smart feeders, and smart sensors.

Recent Surveys in Healthcare

Modern living will be drastically changed by 6G communication networks and AI.
The medical sector will be affected by this.
It is expected that 6G will remove the current clinical barriers.
AI algorithms are very many and varied, and there is a lot of modern work that hybridizes or modifies algorithms to obtain highly accurate results in the process of medical care and disease detection and has increased its uses in the recent period.
Is the presence of the IoT essential in research for healthcare?
How have existing AI with IoT?
What is the role of modern communication networks 5G and 6G?
What are the common Sensors devices used to enable healthcare?
Is the level of privacy in all available areas at the required level?
What is the real assessment of security?
What level of reliability did researchers focus on and the trust that supports the user in all embedded technologies?

IoT and Covid-19

The virus (covid 19) that spread rapidly in the world and caused damage to speed of its spread.
Staying at home was the only solution.
People are becoming more using cellular networks and internet.
Healthcare, education, work, and the majority of other human connections have all been abruptly relocated to the virtual domain.
Healthcare using IoT has been shown to be safe, effective, and inclusive under the condition that measures to ensure security, robustness, and capacity are taken.
A smart technique to detect the health of the patients remotely are very crucial to be designed using IOT which doctors can informed if any unexpected symptoms occurred such as remote health monitoring for people working at home and then tracking them to make sure they are in a safe place

Conclusion

This paper discussed Healthcare Systems based on IoT.
Applications, challenges, the required architectures, and future directions for such systems were explained.
In addition, reference was made to design issues and future directions for 5G, 6G and AI, and their integration with the IoT to create smart healthcare systems that have a significant impact in