Analogue Module for Wireless EEG/ECG

Analogový modul pro bezdrátový sber EEG/ECG dat Tato práce se zabývá návrhem bezdrátové univerzální jednotky merící EEG a EKG signál. Hlavním cílem je podporit výuku predmetu Konstrukce lékarských systému a využít prístroj pro další vývoj. K merení byl na základe rešerše vybrán integrovaný obvod ADS1298, který v celém návrhu zastupuje roli rozdílového zesilovace i A/D prevodníku. K rízení celého obvodu byl zvolen mikroprocesor Atmega2560, který má za úkol vyžádat si data od integrovaného obvodu, zpracovat je a následne poslat pres bluetooth modul HC-05 do PC. Program v pocítaci pouze prijímá data a vykresluje je v reálném case. V rámci práce byl vytvoren návrh DPS a program pro mikroprocesor a PC.Analogue module for wireless EEG/ECG This thesis is focused on the design of a wireless universal unit measuring EEG and ECG signal. The main goal is to support the teaching of Construction of medical systems and use the device for further development. Based on the research, the integrated circuit ADS1298 was selected for the measurement, which represents the role of a differential amplifier and an A/D converter in the design. The Atmega2560 microprocessor was chosen to control the entire circuit, which has the task of requesting data from the integrated circuit, processing them and then sending them via the bluetooth module HC-05 to a PC. The program on the computer only receives the data and visualizes them in real time. Within the thesis, a PCB design and a program for a microprocessor and PC were created

Compact Wireless EEG System with Active Electrodes for Daily Healthcare Monitoring

Development of Wireless EEG system is described. Realtime impedance monitoring and active electrodes are introduced in order to reduce noise from impedance changes caused due to body motion, and to prevent noise from power line interference, respectively. EEG ASICs are developed for the system. The complete system has a low noise (60nV/√Hz) and is packaged in a compact enclosure (38mm × 38mm × 16mm). The system is evaluated against different types of artefacts and possible applications with the system are discussed

A Novel Power-Efficient Wireless Multi-channel Recording System for the Telemonitoring of Electroencephalography (EEG)

This research introduces the development of a novel EEG recording system that is modular, batteryless, and wireless (untethered) with the supporting theoretical foundation in wireless communications and related design elements and circuitry. Its modular construct overcomes the EEG scaling problem and makes it easier for reconfiguring the hardware design in terms of the number and placement of electrodes and type of standard EEG system contemplated for use. In this development, portability, lightweight, and applicability to other clinical applications that rely on EEG data are sought. Due to printer tolerance, the 3D printed cap consists of 61 electrode placements. This recording capacity can however extend from 21 (as in the international 10-20 systems) up to 61 EEG channels at sample rates ranging from 250 to 1000 Hz and the transfer of the raw EEG signal using a standard allocated frequency as a data carrier. The main objectives of this dissertation are to (1) eliminate the need for heavy mounted batteries, (2) overcome the requirement for bulky power systems, and (3) avoid the use of data cables to untether the EEG system from the subject for a more practical and less restrictive setting. Unpredictability and temporal variations of the EEG input make developing a battery-free and cable-free EEG reading device challenging. Professional high-quality and high-resolution analog front ends are required to capture non-stationary EEG signals at microvolt levels. The primary components of the proposed setup are the wireless power transmission unit, which consists of a power amplifier, highly efficient resonant-inductive link, rectification, regulation, and power management units, as well as the analog front end, which consists of an analog to digital converter, pre-amplification unit, filtering unit, host microprocessor, and the wireless communication unit. These must all be compatible with the rest of the system and must use the least amount of power possible while minimizing the presence of noise and the attenuation of the recorded signal A highly efficient resonant-inductive coupling link is developed to decrease power transmission dissipation. Magnetized materials were utilized to steer electromagnetic flux and decrease route and medium loss while transmitting the required energy with low dissipation. Signal pre-amplification is handled by the front-end active electrodes. Standard bio-amplifier design approaches are combined to accomplish this purpose, and a thorough investigation of the optimum ADC, microcontroller, and transceiver units has been carried out. We can minimize overall system weight and power consumption by employing battery-less and cable-free EEG readout system designs, consequently giving patients more comfort and freedom of movement. Similarly, the solutions are designed to match the performance of medical-grade equipment. The captured electrical impulses using the proposed setup can be stored for various uses, including classification, prediction, 3D source localization, and for monitoring and diagnosing different brain disorders. All the proposed designs and supporting mathematical derivations were validated through empirical and software-simulated experiments. Many of the proposed designs, including the 3D head cap, the wireless power transmission unit, and the pre-amplification unit, are already fabricated, and the schematic circuits and simulation results were based on Spice, Altium, and high-frequency structure simulator (HFSS) software. The fully integrated head cap to be fabricated would require embedding the active electrodes into the 3D headset and applying current technological advances to miniaturize some of the design elements developed in this dissertation

Exploiting code-modulating, Visually-Evoked Potentials for fast and flexible control via Brain-Computer Interfaces

Riechmann H. Exploiting code-modulating, Visually-Evoked Potentials for fast and flexible control via Brain-Computer Interfaces. Bielefeld: Universität Bielefeld; 2014

Exploiting code-modulating, Visually-Evoked Potentials for fast and flexible control via Brain-Computer Interfaces

Riechmann H. Exploiting code-modulating, Visually-Evoked Potentials for fast and flexible control via Brain-Computer Interfaces. Bielefeld: Universität Bielefeld; 2014