Internet of Things Technology in Biomedical Engineering

Major: Biotechnical and Medical Apparatus and Systems (Internet of Things)
Code of subject: 7.163.03.O.005
Credits: 5.00
Department: Electronics and Information Technology
Lecturer: Roman Holyaka
Semester: 1 семестр
Mode of study: денна
Мета вивчення дисципліни: The purpose of studying the academic discipline "Internet of Things Technologies in Biomedical Engineering" is to prepare masters to master the scientific and practical aspects (concept, development, research, operation, etc.) of electronic means and devices of the Internet of Things (IR), including for the biomedical field.
Завдання: The study of an educational discipline involves the formation of competencies in students of education: general competences: ZK 1. Ability to abstract thinking, analysis and synthesis. ZK 2. Ability to search, process and analyze information from various sources. ZK 3. The ability to identify, pose and solve problems. ZK 7. The ability to learn and master modern knowledge both in a team and independently. ZK 8. The ability to identify the scientific essence of problems in the professional sphere, to find adequate ways to solve them. ZK 9. The ability to generate new ideas and non-standard approaches to their implementation (creativity). ZK 12. The ability to investigate problems with use using systems analysis, synthesis and other methods. professional competences: FC 1. Ability to solve complex problems of biomedical engineering using methods of mathematics, natural and engineering sciences. FC 3. The ability to analyze complex medical engineering and bioengineering problems and carry out their formalization to find quantitative solutions using modern mathematical methods and information technologies. FC 4. The ability to create and improve the means, methods and technologies of biomedical engineering for research and development of bioengineering objects and systems for medical and technical purposes. FC 5. The ability to develop technical tasks for the creation, as well as to model, evaluate, design and construct complex bioengineering and medical engineering systems and technologies. FC 10. Ability to perform engineering maintenance of medical devices and systems that include digital microprocessor systems. FC 11. Ability to conduct manual and automated testing of biomedical programs.
Learning outcomes: By the end of the study, learners are expected to: - comprehend basics of concepts Internet of Everything (IoE),Web of Things (WoT), Internet of Things (IoT), Industrial Internet of Things (IIoT), Smart Environments (SE), Smart Home (SH), Augment Reality (AR), Smart Dust (SD), Telemedicine (TM); - know basics of structure and design of IoT and IIoT electronic devices, embedded system , smart sensors and actuators, signal transducers. - demonstrate knowledge and skills of IoT devices developing on the basis of IoT pointed microcontrollers and microconverters, open IoT platforms, in particular, Arduino, Raspberry Pi, Adafruit Feather. - know protocols of data transferring and theirs standards: USB, WiFi, IEEE 802.15.4, Bluetooth, Bluetooth low energy (BLE), ZigBee, 6LoWPAN, Low-power wide-area networking (LPWAN); - demonstrate knowledge and skills of IoT Software-Development Environments (IoT SDE), in particular, Intel XDK, Intel System Studio IoT Edition, Android Things, Google Cloud Interconnect; - demonstrate knowledge of recent trends in IoT and IIoT.
Required prior and related subjects: Components of biomedical devices Circuit technique of biomedical devices
Summary of the subject: The program of the educational discipline "Technologies of the Internet of Things" is concluded for students of the Institute of Telecommunications, Radio Electronics and Electronic Engineering who are studying in the specialty 8.163.01 "Biotechnical and medical devices and systems". As a result of successful study of the course program, the student will learn the theoretical principles and practical skills in the application, design, model and experimental research of Internet of Things devices, including in the field of biomedical engineering. The course has a scientific and practical direction, giving students the opportunity to continue scientific research and use electronic devices of the Internet of Things. Self-education is considered an integral part of this educational course, and special attention in the program is paid to the independent work of students. In general, the course "Technologies of the Internet of Things" consists of eight parts: 1 Necessities and components of the Internet of Things; 2 Interaction of IR objects. Wireless sensor networks; 3 IR radio frequency communication standards; 4 IR and medical IR sensors; 5 Schematics of IR devices; 6 IR hardware and software; 7 Hardware and software tools of medical IR; 8 Creative IP projects (startups). Special attention is paid to medical aspects of IR, telemedicine, concepts of electronic (e-Health) and mobile (m-Health) health. The practical basis of the course is programmable systems on a PSoC (Cypress) crystal, Arduino-compatible sensor modules and IR platforms. The content of the course is aimed at forming students' understanding of the general trend of the development of the Internet of Things, the ability of students to effectively use the acquired knowledge during practical classes in classrooms and when performing practical and independent tasks, the ability to find the necessary information in specialized literature and the Internet. The study of the educational discipline involves the use of MicroCap11 schematic and technical modeling software (evaluation student version) and integrated development environments (Integrated Development Environment, IDE) PSoC Creator, Arduino IDE. All the specified software products do not require a license fee and are freely available for students.
Опис: Topic 1. Concepts and technologies of the Medical Internet of Things Concepts: Internet of Things, Industrial Internet of Things, Medical Internet of Things. Cloud technologies. Terms and models of the Internet of Things. Types of interaction of subjects of the Internet of Things. Classification of networks Open System Interconnection (OSI) communication model and its adaptation in Internet of Things technology. Topology of networks. Ad-hoc and mesh networks. Routing. IPv6 protocol. Wireless sensor networks. Semantic web Grid technologies. Grid technologies in medicine. HealthGrid Technologies. Point-of-care testing technologies. Telemedicine. Implementation of the concept of telemedicine. Telemedicine and electronic medical records in Ukraine Basics of radio frequency communication: electromagnetic wave, signal modulations, electromagnetic wave spectra of telecommunications, ISM bands (Industrial, Scientific, Medical). Topic 2. Telecommunication technologies and standards Internet of things technologies based on cellular networks. Technologies LTE, VoLTE, LTE-Advanced, LTE-A Pro, 4G LTE, VoLTE Telecommunication technologies and standards: Wi-Fi (IEEE 802.11) Telecommunication technologies and standards: Bluetooth (IEEE 802.15), ANT Telecommunication technologies and standards: ZigBee, Z-Wave, IEEE 802.15.4, NanoNET. Telecommunication technologies and standards: WiMAX, MAN Air Interface, WirelessMAN-Advanced, UWB (Ultra Wide Band, IEEE 802.15.3), WirelessHD, WiHD, WiGig (60 GHz) Telecommunication technologies and standards: 6LoWPAN, Thread, LoRa, LoRaWAN, MQTT, Eclipse Mosquitto. Telecommunication technologies and standards: One-Net, KNX, Modbus, DECT, DECT ULE Telecommunication technologies and standards: NFC (Near Field Communication), Beacon, iBeacon, BLE-Beacon. Telecommunication technologies and standards: RFID (Radio Frequency IDentification) Topic 3. Solutions and components of the Medical Internet of Things Standard for the exchange of electronic medical information Health Level 7. Integrated solutions in the concepts of medical IoT and e-Health Microelectromechanical systems (MEMS). Smart dust (Smart Dust). The Lab-on-Chip concept. Microchip implants Development platforms for Medical Internet of Things devices. Continua Health Alliance Consortium. Bluetooth Health Device Profile (HDP). Industruino platform. Lab Jack. SmartLab. SCiO. IoT device components – Programmable systems on a chip and programmable logic integrated circuits. Analog front-end of IoT devices. Biometrics. Electronic means of biometric identification Radio electronics of the Internet of Things. The concept of software-configured radio (SDR). Electromagnetic compatibility. Radioelectronics components of the Internet of Things.
Assessment methods and criteria: Current control: laboratory reports, oral interviewing, written tests – 40 points (40 %). Final control: control procedure - written and verbal examination – 60 points (60 %).
Критерії оцінювання результатів навчання: 1) Protection of laboratory work includes demonstration of results according to an individual option, preparation of written reports for laboratory work. 2) Oral examination takes place in laboratory classes and during control work. The survey is conducted on the basis of questions from the formed lists for each laboratory work and control work. 3) Testing takes place at the National Security Service during the control event (current survey) and during the control work. 4) The test consists of a written component (test) and an oral component (individual survey).
Recommended books: 1. Alessandro Bassi, Martin Bauer, Martin Fiedler. Enabling Things to Talk: Designing IoT solutions with the IoT Architectural Reference Model. Springer Heidelberg. -2013. 2. Ovidiu Vermesan, Peter Friess. Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems // River Publishers. – 2013. 3. Мікросхемотехніка. Підручник за редакцією З.Ю.Готри / Гельжинський І.І, Голяка Р.Л., Готра З.Ю, Марусенкова Т.А. – Львів: Ліга-Прес. 2015. 4. Структури та параметри мікроелектронних гальваномагнітних сенсорів магнітного поля: монографія / Большакова І.А., Годинюк І.М., Голяка Р.Л., Готра З.Ю, Ільканич В.Ю., Марусенкова Т.А., Політанський Л.Ф.– Львів: Ліга-Прес, 2013. 5. Мікроелектронні сигнальні перетворювачі теплових сенсорів потоку: монографія / З.Ю.Готра, С.В.Павлов, Р.Л.Голяка та ін. – Вінниця: ВНТУ, 2012. 6. Войтович І.Д., Корсунський В.М. Інтелектуальні сенсори. – Київ. – Інститут кібернетики імені В.М.Глушкова НАН України.– 2007.