Reading Assistance for Visually Impaired People Using TTL Serial Camera With Voice

Internet of things is where all the things are connected to the internet and communicate with each other. There are many applications of the IoT in various fields such as healthcare, agriculture, industries, and logistics, and even for empowering people with disabilities. There are many previous work for the blind people using IoT in finding the obstacles many navigation applications have been developed. In this chapter, a system is proposed to assist blind people in reading books. This method is based on capturing the text book pages as an image and processing them into text with speech as an output.

Smart Healthcare

Internet of things is a revolutionary domain, when we use it for the wellness of people in a smart way. As of now, the cost to implement IoT-enabled services is very high. So, this chapter introduces a cost effective and a reliable system to monitor patients at home and in hospitals with the help of IoT. The monitored details of a person can be drawn at any time with the help of an android app, which can produce output at real-time. The processed data are stored in the UBIDOTS cloud server, and the patients' needs can be met in time as well lives saved during critical cases with the help of the system proposed in this chapter.

IoT in the Field of Healthcare

The chapter at first focuses on IoT being used in healthcare in general and then it moves to Parkinson's disease, specifically, and how people with it can be benefitted by IoT.

Geo-Location-Based File Security System for Healthcare Data

Nowadays, a person's medical information is just as important as their financial records as they may include not only names and addresses but also various sensitive data such as their employee details, bank account/credit card information, insurance details, etc. However, this fact is often overlooked when designing a file storage system for storing healthcare data. Storage systems are increasingly subject to attacks, so the security system is quickly becoming a mandatory feature of the data storage systems. For the purpose of security, we are dependent on various methods such as cryptographic techniques, two-step verification, and even biometric scanners. This chapter provides a mechanism to create a secure file storage system that provides two-layer security. The first layer is in the form of a password, through which the file is encrypted at the time of storage, and second is the locations at which the user wants the files to be accessed. Thus, this system would allow a user to access a file only at the locations specified by him/her. Therefore, the objective is to create a system that provides secure file storage based on geo-location information.

A Survey of Mobile Computing Devices and Sensors in Healthcare Applications

Mobile devices are continuously improving, adding integrated sensors, which are of value to the healthcare industry. Sensor-enabled mobile phones collect data from patients, which is useful for doctors in providing immediate care and treatment. As smartphones become ubiquitous, their use as health monitors should become commonplace. This chapter surveys mobile computing devices and sensors in healthcare applications.

Mobile Patient Surveillance

Surveillance is defined as providing security in critical situations or monitoring certain places where safety and security are important. Surveillance takes the lead in healthcare departments or sections. Surveillance is also helpful in diagnosing the errors that occur in the automated systems and happening of adverse events in patient care. The main objective of patient surveillance is to observe the changes that occur in any patient's health to provide appropriate medication through automation process. Initially, the comparison is made between surveillance and monitoring. Later the chapter discusses the wireless technologies and mobile applications used for patient surveillance. Using mobile healthcare systems surveillance data that includes not only patient's clinical information but also analyses clinical scenario periodically, the clinical information gathered is disseminated among various teams of specialists for decision making. The advancement in wireless devices not only monitors the patient's conditions but also provides required information or data. This is possible only when sensed data is communicated at an appropriate time to avoid unexpected events in critical care units. This wireless technology helps the nursing staff in improving the surveillance and guaranteeing patient's safety. This chapter explores mobile patient surveillance.

Body Fitness Monitoring Using IoT Device

Recent technological advances in wireless communications and wireless sensor networks have enabled the design of intelligent, tiny, low-cost, and lightweight medical sensor nodes that can be placed on the human body strategically. The focus of this chapter is to implement the health monitoring system continuously without hospitalization using wearable sensors and create a wireless body area network (WBAN). Wearable sensors monitor the parameters of the human body like temperature, pressure, and heart beat by using sensors and providing real-time feedback to the user and medical staff and WBANs promise to revolutionize health monitoring. In this chapter, medical sensors are used to collect physiological data from patients and transmit it to the system which has details of an individual stored using Bluetooth/Wi-Fi with the help of Arduino and to medical server using Wi-Fi/3G communications.

Clinical Data Analysis Using IoT Devices

The most recent couple of decades have seen a sharp rise in the number of elderly individuals. Furthermore, enquiry into this tells us that around 89% of the matured individuals are probably going to live autonomously. As the need be, giving a respectable personal satisfaction for matured individuals has turned into a genuine social test. Doctors need to have clear idea as to the health of these individuals, so they can use proper methodologies to cure them. Hence, IoT develops the idea of the internet and makes it more unavoidable. IoT permits consistent collaborations among various sorts of gadgets, for example, therapeutic sensors, observing cameras, home machines, and so on. This chapter proposes clinical data analysis using the internet of things.

A Blueprint for Designing and Developing M-Health Applications for Diverse Stakeholders Utilizing FHIR

FHIR standard is designed to enable interoperability and integration with the newest and adopted technologies by the industry. This chapter presents a number of blueprints for the design and development of FHIR servers that enable the integration between HIT systems with m-health applications via FHIR. Each blueprint is based on the location that FHIR servers can be placed with respect to the components of the m-health application (UI, API, server) or a HIT system in order to define and design the necessary infrastructure to facilitate the exchange of information via FHIR. To demonstrate the feasibility of the work, this chapter utilizes the Connecticut concussion tracker (CT2) m-health application as a proof-of-concept prototype that fully illustrates the blueprints of the design and development steps that are involved. The blueprints can be applied to any m-health application and are informative and instructional for medical stakeholders, researchers, and developers.

Smart Healthcare Administration Over Cloud

Cloud computing is an emerging technology that is expected to support internet-scale critical applications, which could be essential to the healthcare sector. Its scalability, resilience, adaptability, connectivity, cost reduction, and high-performance features have high potential to lift the efficiency and quality of healthcare. With the widespread application of healthcare information and communication technology, constructing a stable and sustainable data sharing circumstance has attracted rapidly growing attention in both academic research area and the healthcare industry. Cloud computing is one of long dreamed visions of healthcare cloud (HC), which matches the need of healthcare workers, information sharing directly to various health providers over the internet, regardless of their location and the amount of data. This chapter proposes a cloud model for health information sharing and integration in HC and looks into the arising challenges in healthcare.