Lectures:
- Introduction to telemetry, historical development, application of biotelemetry in practice.
- Communications used in biotelemetry for data transmission.
- Hardware solutions with the possibility of wired and wireless communication.
- Preparation and processing of (bio)signals for subsequent data transmission.
- Digital communication with (bio)sensors.
- Data standards for data transmission, wired and wireless communication protocols.
- Optimization of biotelemetry equipment for low power consumption.
- HomeCare systems, eHealth
- Data protection, GDPR, ethics.
Computer exercises:
- Introduction to the biotelemetry learning platform and development environment.
- Development of firmware for analogue (bio)signal processing.
- Preparation and implementation of communication for the use of peripherals according to data sheets.
- Use of the imaging interface on the development platform.
- Serial line communication, communication protocol, checksum.
- Wireless communication using Bluetooth and Bluetooth Low Energy.
- Connecting the microcontroller to the Internet using WiFi. HTTP, MQTT.
- Communication with digital and analog sensors using libraries.
- Device power optimization, sleep modes, interrupts.
- Implementation of peripherals into a complete device for telemetry transmission.
- Design and implementation of test schemes to verify the benefits of telemetry facilities in a remote home care lab.
- Introduction to telemetry, historical development, application of biotelemetry in practice.
- Communications used in biotelemetry for data transmission.
- Hardware solutions with the possibility of wired and wireless communication.
- Preparation and processing of (bio)signals for subsequent data transmission.
- Digital communication with (bio)sensors.
- Data standards for data transmission, wired and wireless communication protocols.
- Optimization of biotelemetry equipment for low power consumption.
- HomeCare systems, eHealth
- Data protection, GDPR, ethics.
Computer exercises:
- Introduction to the biotelemetry learning platform and development environment.
- Development of firmware for analogue (bio)signal processing.
- Preparation and implementation of communication for the use of peripherals according to data sheets.
- Use of the imaging interface on the development platform.
- Serial line communication, communication protocol, checksum.
- Wireless communication using Bluetooth and Bluetooth Low Energy.
- Connecting the microcontroller to the Internet using WiFi. HTTP, MQTT.
- Communication with digital and analog sensors using libraries.
- Device power optimization, sleep modes, interrupts.
- Implementation of peripherals into a complete device for telemetry transmission.
- Design and implementation of test schemes to verify the benefits of telemetry facilities in a remote home care lab.