Projects > BCI

BCI HRI    

Brain Training Simulator for Enhancing Neural Plasticity of Strok Patients



Background

Stroke is one of the principal causes of morbidity and mortality in adults in the developed world and the leading cause disability in all industrialized countries. Stroke patients can suffer several neurological deficits or impairments, such as hemiparesis, communication disorders, cognitive deficits. These impairments habe an important impact in patient’s life and considerable costs for health and social services. Although they also need rehabilitation treatment for recognition, upper extremity and nether extremity, they need an overground gait rehabilitation preferentially which related with daily life.

Objectives

In the project, we develop the technology of gait intention detection and monitoring system for stroke rehabilitation based on multi bio-signal (fNIRS, EEG and etc.). Finally, we try to offer accurate rehabilitation state and improvement level to stroke patients and medical team using our technology.

Contents

  • Development of Monitoring and Evalution Tool for rehabilitation
  • Development of Cognitive stimulation Neuro-feedback technology
  • Development of Brain Training Simulator system

This project is a part of the program, “Development of an overground gait rehabilitation robot technology with a success rate over 90% in gait intention detection based on biosignal interface for various gait rehabilitation of stroke patients”, Granted by the Ministry of Trade, Industry and Energy, Korea from 2013 to 2018 and consortium members are KIST, DGIST, KITECH, NRC, Asan Hospital, TES, and Manontanto.


Contact: Seung Hyun Lee, aksska82@dgist.ac.kr, 785-4661



Neurohaptics: How does the Brain Understand Haptic Sensation?


Background

Outstanding capacity for locomotion is conducted by complicated interaction between musculo-skeletal and central nervous system which consist of brain and spinal cord. Spinal cord receive the exercise order from the brain and generate driving power by retract the muscle which connected directly. It act as a bridge between brain and musculo-skeletal. Thus, to understand how the brain control body activities, It is important that understanding control exercise nature of spinal cord which control contraction exercise of muscle directly. But it is impossible to measure the neural signal between brain, spinal cord and musculo-skeletal at the same time. Therefore, although the technology of measuring the biosignal from brain and muscle is developed, development of medical diagnosys which can evaluate the motor control skill of the central nervous system in pathological conditions or neuro and mechanical interface technology is interrupted.

Objectives

■ Investigation of Haptic stimuli-perception model

  • To approach the plasticity of brain of Haptics, we analyze the connection of cortex between active and passive stimulation, then we suggest  model about the relationship between Haptic stimuli and perception.


■ Utilization of Haptic stimuli-perception model

  • Using the connection of cortex by Haptic stimulation, we extract factor of plasticity of brain influence factor of Haptic stimulation.


■ Application of Haptic stimuli-perception model

  • Based on Haptic stimuli-perception model, we research application of Haptic stimuli-perception model which helpful to cerebropathia patients (stroke, depression) as we suggest active and passive stimulation to expedite plasticity of brain.


■ Research of Haptic stimuli-perception model

  • There are many tools to analyze the connection of cortex. Such as active(Active Touch, voluntary movement) and passive(FES, Tactile Display, Robot) stimulation for Haptic stimulation tool. EMG, EEG, fNIRS, and fMRI for measuring neural signal of body and IMU, Positioin, FSR, GSR to measure the physiologic signal as a tool of Haptic perception. We will select the proper tool by analyzing Haptic stimulation and Haptic perception tool to research the cognitive connection.

 

Contents

  • Study on cortical connectivity by haptic stimulation
  • Study on haptic – cognition model utilize
  • Study on haptic – cognition model application

This project is Granted by DGIST R&D Program of the Ministry of Science, ICT and Future Planning, Korea  from 2014 to 2016


Contact: Seung Hyun Lee, aksska82@dgist.ac.kr, 785-4661

 

 

 

Effect of Body Weight Support on Cortical Activation during Gait in Stroke Patients: fNIRS Study

 


Background

Recently people use Motoricity Index, Fugl-Meyer Index, Rivermead Motor Assessment and Functional Ambulatory Category for clinical evaluation about strength of lower extremity, exercise function and ambulatory ability in stroke patients. But it can not evaluate the change of cerebral cortex activity and reorganiztion of function in the nervous system in the point of brain plasticity.

Objectives

Recently non invasive measuring method of brain activation such as fNIRS, EEG is used widely. It possible to measure the state of rehabilitation in real time but it is hard to get a brain activities which contain the neuro-physiological data due to physiological noise such as breath, heartbeat and movement of head.
Therefore, we try to develop effective rehabilitation treatment as we measure not only the fNIRS, EEG but also EMG, Goniometer and IMU which can analyze the physical features of brain signal. Then we try to find the proper treatment method with robot rehabilitation tool such as Lokomat, Walkbot.


Contents

  • Development of pre-processing algorithm
  • Development of brain signal analysis and brain mapping algorithm
  • Development of brain signal analysis techniques based on fNIRS-fMRI data

This project is Granted by National Rehabilitation Center, Ministry of Health & Welfare, Korea from 2014 to 2015 and consortium members are DGIST and Keimyung University Dongsan Medical Center.


Contact: Sang-Hyeon Jin, jinjinsh@dgist.ac.kr, 785-4660

 

 

 

NIRS based Experimental Evaluation of the Driver Back Fatigue during Long Term Driving









Background

Recently the paradigm of driver’s convenient technology is shifting to amenity which contain the pleasant, enjoyment, comfortable from the paradigm "seeking of economic and convenience".Especially, seat in the car influence directly to driver's feeling of amenity. In summary, ride quality which is possible to increase the displeasure and damage drivers emotional stability. Finally, it could be implant distrust to the automobile brand.Previous research conducted investigation about driver fatigue, amenity, stability subjectively. Although there were researches about biometric (myectopy, lactic acid, concentration etc) to remedy existing research, It is hard to measure and It easy to be influenced by noises.

Objectives

The research suggest the technology of quantitative measurement index for driver’s back fatigue as observe the varying oxygen saturation  in blood flow. Also we verify correlation between hemodynamic activity and mechanism of driver’s fatigue. We will conduct experiment and extract the index of driver’s fatigue and conduct the investigation to verify the usefulness of proposal system.

Contents

  • Measuring of the driver back fatigue during long term driving
  • Extraction of the driver back fatigue using fNIRS
  • Correlation analysis  between biological behavior of blood flow and fatigue

This project is Granted by Hyundai Motors from 2014 to 2015


Contact: Sang-Hyeon Jin, jinjinsh@dgist.ac.kr, 785-4660