Personal tools

Difference between revisions of "Wireless EEG Acquisition and Processing"

From iis-projects

Jump to: navigation, search
(Project Description)
 
(2 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
[[Category:Hot]][[Category:Human Intranet]][[Category:Epilepsy]][[Category:BCI]][[Category:2022]]
 
[[Category:Hot]][[Category:Human Intranet]][[Category:Epilepsy]][[Category:BCI]][[Category:2022]]
[[File:Emotiv-epoc-14-channel-mobile-eeg.jpg|thumb|right|200px]]
+
[[File:biowolf_headband.png|thumb|right|200px]]
 
=== Introduction ===
 
=== Introduction ===
 
The neural activity of the human brain is typically recorded with non-invasive electroencephalography (EEG). This is often done with large and cumbersome to-wear systems that often stigmatize the user. Small and energy-efficient systems are therefore preferred, and one major aspect that these systems must incorporate is wireless functionality, i.e., be able to transmit acquired data to a processing unit that is not worn directly on the head. This must then be done in a way which the data is transmitted with short delay to the processing unit.
 
The neural activity of the human brain is typically recorded with non-invasive electroencephalography (EEG). This is often done with large and cumbersome to-wear systems that often stigmatize the user. Small and energy-efficient systems are therefore preferred, and one major aspect that these systems must incorporate is wireless functionality, i.e., be able to transmit acquired data to a processing unit that is not worn directly on the head. This must then be done in a way which the data is transmitted with short delay to the processing unit.
  
 
=== Project Description ===
 
=== Project Description ===
In this project, the student works with an EEG headband with dry and wet electrodes attached to it and the BioWolf wearable ExG device, which has the PULP Mr. Wolf multicore processor on board. The project’s goal is to design a system capable of acquiring EEG signals and transmitting them wirelessly over to the BioWolf in real time. The student will:
+
In this project, the student works with an EEG headband with dry and wet electrodes attached to it and the BioWolf wearable ExG device, which has the PULP Mr. Wolf multicore processor on board. The project’s goal is to design a system capable of acquiring reliable EEG signals during motion, transmitting them wirelessly with BioWolf in real time. An on-board accelerometer will empower the student to perform sensor fusion and compensate the EEG signals from motion artifacts. The student will:
- design  
+
* optimize the design of the headband, for optimal electrode positioning and comfort
-
+
* implement sensor fusion strategies, between EEG and accelerometer
- implement
+
* implement the algorithms on the Mr. Wolf microcontroller
  
 
===Status: Available===
 
===Status: Available===
Line 17: Line 17:
 
* 20% literature review
 
* 20% literature review
 
* 80% Implementation
 
* 80% Implementation
 +
 +
===Literature===
 +
* [https://link.springer.com/article/10.1007/s11036-019-01322-7]V. Kartsch et. al., BioWolf: A Sub-10-mW 8-Channel Advanced Brain–Computer Interface Platform With a Nine-Core Processor and BLE Connectivity
 +
  
  

Latest revision as of 19:06, 16 February 2022

Biowolf headband.png

Introduction

The neural activity of the human brain is typically recorded with non-invasive electroencephalography (EEG). This is often done with large and cumbersome to-wear systems that often stigmatize the user. Small and energy-efficient systems are therefore preferred, and one major aspect that these systems must incorporate is wireless functionality, i.e., be able to transmit acquired data to a processing unit that is not worn directly on the head. This must then be done in a way which the data is transmitted with short delay to the processing unit.

Project Description

In this project, the student works with an EEG headband with dry and wet electrodes attached to it and the BioWolf wearable ExG device, which has the PULP Mr. Wolf multicore processor on board. The project’s goal is to design a system capable of acquiring reliable EEG signals during motion, transmitting them wirelessly with BioWolf in real time. An on-board accelerometer will empower the student to perform sensor fusion and compensate the EEG signals from motion artifacts. The student will:

  • optimize the design of the headband, for optimal electrode positioning and comfort
  • implement sensor fusion strategies, between EEG and accelerometer
  • implement the algorithms on the Mr. Wolf microcontroller

Status: Available

Looking for Semester and Master Project Students
Supervision: Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti

Character

  • 20% literature review
  • 80% Implementation

Literature

  • [1]V. Kartsch et. al., BioWolf: A Sub-10-mW 8-Channel Advanced Brain–Computer Interface Platform With a Nine-Core Processor and BLE Connectivity


Professor

Luca Benini

↑ top