TECHNICAL SPECIFICATIONS, VALIDATION, AND RESEARCH USE CONTENTS:

Similar documents
User Guide. qeeg NeXus-32. This user guide has been created to educate and inform the reader about doing qeeg measurements with the NeXus-32

Detection and correction of artefacts in EEG for neurofeedback and BCI applications

Re: ENSC 370 Project Physiological Signal Data Logger Functional Specifications

HBI Database. Version 2 (User Manual)

SMARTING SMART, RELIABLE, SIMPLE

Thought Technology Ltd Belgrave Avenue, Montreal, QC H4A 2L8 Canada

WiPry 5x User Manual. 2.4 & 5 GHz Wireless Troubleshooting Dual Band Spectrum Analyzer

Emotiv Xavier Pure.EEG Epoc/ Epoc+

Common Spatial Patterns 3 class BCI V Copyright 2012 g.tec medical engineering GmbH

DATA! NOW WHAT? Preparing your ERP data for analysis

qeeg-pro Manual André W. Keizer, PhD v1.5 Februari 2018 Version 1.5 Copyright 2018 qeeg-pro BV, All rights reserved

Experiment PP-1: Electroencephalogram (EEG) Activity

Common Spatial Patterns 2 class BCI V Copyright 2012 g.tec medical engineering GmbH

Pre-Processing of ERP Data. Peter J. Molfese, Ph.D. Yale University

WiPry 5x User Manual. 2.4 & 5 GHz Wireless Troubleshooting Dual Band Spectrum Analyzer

SedLine Sedation Monitor

qeeg-pro Manual André W. Keizer, PhD October 2014 Version 1.2 Copyright 2014, EEGprofessionals BV, All rights reserved

Brain-Computer Interface (BCI)

Mind Alive Inc. Product History

TAGx2 for Nexus BioTrace+ Theta Alpha Gamma Synchrony. Operations - Introduction

Real Time Bio-signal Acquisition System

PROCESSING YOUR EEG DATA

X820S Seismic / accelerometric digitizer channels - 24 bit

Portable USB Potentiostat Low-Current Portable USB Potentiostat Extended Voltage USB Potentiostat

ClickShare. The one click wonder

G4500. Portable Power Quality Analyser. Energy Efficiency through power quality

MindMouse. This project is written in C++ and uses the following Libraries: LibSvm, kissfft, BOOST File System, and Emotiv Research Edition SDK.

Identification, characterisation, and correction of artefacts in electroencephalographic data in study of stationary and mobile electroencephalograph

Development of 16-channels Compact EEG System Using Real-time High-speed Wireless Transmission

An Integrated EMG Data Acquisition System by Using Android app

FlexComp Infiniti Hardware Manual

How to Set Up Continuous EEG (CEEG)

Supplemental Material for Gamma-band Synchronization in the Macaque Hippocampus and Memory Formation

User Guide Slow Cortical Potentials (SCP)

Analogue Inputs Resolution Assignment

ProComp Infiniti. Hardware Manual. Thought Technology Ltd.

Getting Started. Connect green audio output of SpikerBox/SpikerShield using green cable to your headphones input on iphone/ipad.

HDMI Over IP Extender Kit - 4K

EEG Eye-Blinking Artefacts Power Spectrum Analysis

ClickShare The one click w he one click onder w

4 MHz Lock-In Amplifier

NeXus: Event-Related potentials Evoked potentials for Psychophysiology & Neuroscience

GALILEO Timing Receiver

Driver Fatigue Detection Using Neurosky Mindwave Headset

Sensor Development for the imote2 Smart Sensor Platform

A BCI Control System for TV Channels Selection

User Guide EMG. This user guide has been created to educate and inform the reader about doing EMG measurements

Portable in vivo Recording System

Major Differences Between the DT9847 Series Modules

MAGICQLSeries-4CH1080pDVRSystem-SupportsEX- SDI/HD-SDI/960H/Analog/IP

WaveDriver 20 Potentiostat/Galvanostat System

PERCEPTUAL QUALITY COMPARISON BETWEEN SINGLE-LAYER AND SCALABLE VIDEOS AT THE SAME SPATIAL, TEMPORAL AND AMPLITUDE RESOLUTIONS. Yuanyi Xue, Yao Wang

Quick Reference Manual

iworx Sample Lab Experiment HM-3: The Electrogastrogram (EGG) and the Growling Stomach

Real-time Processing of Multiplexed Data Acquired via Flexible Active Electrode Arrays

SHARE CONVERTER P/N SHARE PRODUCT HIGHLIGHTS EASY! No drivers required. Dual Uncompressed 1080p Video & Audio Capture Ideal for Video streaming and

medlab One Channel ECG OEM Module EG 01000

Extracting vital signs with smartphone. camera

A Standard Smart Hotel TV with Pro:Centric Smart

Running head: HIGH FREQUENCY EEG AND MUSIC PROCESSING 1. Music Processing and Hemispheric Specialization in Experienced Dancers and Non-Dancers:

BrainMaster tm System Type 2E Module & BMT Software for Windows tm. Display Screens for Master.exe

BCI Autonomous Assistant System with Seven Tasks for Assisting Disable People

Application Note DT-AN DTU-315 Verification of Specifications

Multiple-Window Spectrogram of Peaks due to Transients in the Electroencephalogram

Model 7330 Signal Source Analyzer Dedicated Phase Noise Test System V1.02

Design of a Mobile Brain Computer Interface-Based Smart Multimedia Controller

The Ultimate Long-term EEG Monitoring System

Datascope Spectrum OR With Gas Module 3 Monitor

Lesson 1 EMG 1 Electromyography: Motor Unit Recruitment

Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex

i3touch COLLABORATE MORE EFFECTIVELY WITH INTERACTIVE TOUCH DISPLAYS

DPD80 Visible Datasheet

USB C to HDMI Multi-Monitor Adapter - 3-Port MST Hub

WaveNow USB Potentiostat / Galvanostat

Quantitative Electroencephalography Patterns in Patients Suffering from Tinnitus

Spectral Sounds Summary

PCIe HDMI Video Capture Card - HDMI, VGA, DVI, or Component Video at 1080p60

7000 Series Signal Source Analyzer & Dedicated Phase Noise Test System

Specifications SMART Board 6075 interactive flat panel with iq Model SPNL-6275

USB 3.0 Video Capture Device - HDMI / DVI / VGA / Component HD Video Recorder p 60fps

Ultra-short-throw projectors with connectivity for the BYOD classroom.

Research-Grade Research-Grade. Capture

TED Pro Energy Monitoring and Control System

Using the Monitor Displays in the E175 Active Learning Classroom

WiPry User Manual. 2.4 GHz Wireless Troubleshooting

A Standard Smart Hotel TV with Pro:Centric Smart

DPD80 Infrared Datasheet

Real-time EEG signal processing based on TI s TMS320C6713 DSK

An Exploration of the OpenEEG Project

Multiband Noise Reduction Component for PurePath Studio Portable Audio Devices

Getting Started with the LabVIEW Sound and Vibration Toolkit

i3touch COLLABORATE MORE EFFECTIVELY WITH INTERACTIVE TOUCH DISPLAYS

PLED-W800 Scan for more information

B I O E N / Biological Signals & Data Acquisition

Brain oscillations and electroencephalography scalp networks during tempo perception

Scanning For Photonics Applications

MOBILE AUDIO PRODUCT SUMMARY 2018

MAGICLiteSeries-16CH1080pDVRSystem-SupportsEX- SDI/HD-SDI/960H/Analog/IP

QUICK START GUIDE FOR DEMONSTRATION CIRCUIT /12/14 BIT 10 TO 65 MSPS DUAL ADC

The EEGer 4.3 Tutorial

Transcription:

TECHNICAL SPECIFICATIONS, VALIDATION, AND RESEARCH USE CONTENTS: Introduction to Muse... 2 Technical Specifications... 3 Research Validation... 4 Visualizing and Recording EEG... 6

INTRODUCTION TO MUSE Muse: the brain sensing headband, is an electroencephalography (EEG) technology. EEG is a well-established, non-invasive, harmless method of recording the electrical activity of groups of brain cells. EEG provides robust real-time insight into the brain; and Muse is the most versatile and easy-to-use EEG system available. MUSE FOR CONSUMERS MUSE FOR SCIENTISTS, CLINICIANS, AND RESEARCHERS Muse is designed as a personal meditation assistant. It can pair with any tablet or smartphone and operate with the Muse application, which trains the user in meditation exercises and records EEG data. Muse is used in hospitals, clinics, and universities worldwide as a research tool. The research domains extend from cognitive neuroscience, to brain health, psychotherapy, music cognition, and more. Novice meditators usually struggle with two issues: knowing whether they are doing it right, and staying motivated. Muse addresses these issues by providing real-time state of mind feedback, and offering an engaging motivational framework. Institutions currently using Muse in research include Harvard, Stanford, MIT, Mayo Clinic, NYU, McMaster University, University of Toronto, University College London, and many others. The Muse Professionals Program is a platform for clinicians and coaches to use Muse with their clients. http://professionals.choosemuse.com Muse makes meditation easy. Muse is extremely accessible. It is wireless (Bluetooth), lightweight, flexible, adjustable, and easily worn with less than one minute of set-up. Muse uses two channels on the left and two on the right, so it is ideal for exploring hemispheric asymmetries. Muse has two micro-usb ports on the back of the ear pods where two auxiliary electrodes can be attached. These electrodes can be used to measure EMG, ECG, or EEG on other areas of the head or body. 2

TECHNICAL SPECIFICATIONS WIRELESS CONNECTION SAMPLE RATE Bluetooth 2. 1 + EDR 220Hz or 500Hz, user selectable REFERENCE ELECTRODE FPz ( CMS/DRL) CHANNEL ELECTRODES TP9, AF7, AF8, TP10 (dry) BATTERY LIFE MATERIALS WEIGHT DIMENSIONS ACCELEROMETER INPUT RANGE NOISE SUPPRESSION MUSE APP COMPATIBILITY RESEARCH TOOL COMPATIBILITY LIBMUSE COMPATIBILITY Maximum 5 hours (rechargeable Li -Ion) Silver (frontal electrodes), Conductive silicone -rubber (temporal electrodes) 61g Minimum head circumference 52cm Maximum head circumference 60cm Three-axis @ 50Hz, 10 bit resolution, range +/ - 2G 2mV p- p AC coupled signal DRL REF feedback with floor 50 or 60Hz notch filter (regional) ios, Android Windows, Mac OS, Linux ios, Android, Windows NASION Muse electrode locations by 10-20 International Standards. AF7 F7 LC Reference Channel Fp1 A1 Fp2 AF8 F3 C3 T3 Fpz Fz F4 F8 RC C4 Cz TP9 TP10 T5 P3 O1 3 A2 T4 Pz Oz INION P4 O2 T6

RESEARCH VALIDATION Muse has been tested against industry standard EEG systems including the Brain Vision actichamp system and the g.tec g.usbamp system. Muse achieves comparable performance in voltage trace comparisons and in patterns of total and hemispheric power. Voltage Trace Comparison (Muse in red, actichamp in blue): Right ear (TP10) voltage comparison. ECG voltage comparison on the left collar bone. 4

RESEARCH VALIDATION g.tec Comparison: McMaster University s LIVELab compared Muse with g.tec s research-grade gel-electrode EEG system. Both Muse and g.tec distinguished patterns of brain activation in a standard battery of cognitive tasks. Muse was sampled at 220Hz across four channels while g.tec was sampled at 256Hz across eight channels (FPz, Fz, Cz, Oz, F5, P7, F6, P8), with bandwidth filtered from 1-60Hz. Below are two figures which display the comparison of EEG measures. As shown, the pattern of activation is similar between the technologies. Muse g.tec Total power, calculated as the median variance across 180 1s epochs, across stimuli, averaged across electrode channels, averaged across participants (n=11). Muse g.tec Hemispheric power, pre-filtered to 1-40Hz, normalized to the preliminary resting phase, with g.tec re-referenced to FPz, calculated as the median variance across 180 1s epochs, averaged between hemisphere electrodes (Muse channels 1,2 (left) and 3,4 (right), g.tec channels 5,6 (left) and 7,8 (right)), across stimuli, across participants (n=11). 5

VISUALIZING AND RECORDING EEG Muse is an open platform: anyone can record raw data with Muse and anyone can build their own Muse application. EEG data can be recorded with MuseLab, MusePlayer, or via the third-party mobile application MuseMonitor (for Android and ios). The following tools for researchers and developers are provided in the free SDK (Download the SDK at http://choosemuse.com/developers) : RESEARCH TOOLS LIBMUSE SOFTWARE TOOLS TO RECORD AND ANALYZE MUSE DATA. A LIBRARY FOR BUILDING NATIVE MUSE APPLICATIONS. MuseIO: A desktop driver to stream Muse data over OSC or LSL. Data includes: Absolute and relative power for delta, theta, alpha, beta, and gamma, for each channel. FFTs for each channel. Proper fit indicator for each channel. Blink event. Jaw clench event. MuseLab: Visualize, record, and filter Muse data. MusePlayer: Reroute, replay, and convert Muse data to a variety of formats including MATLAB,.muse, and.csv. Muse s free desktop visualization and recording suite provides rich, raw EEG data, raw accelerometer data, raw spectra (delta (1-4Hz), theta (4-8Hz), alpha (8-13Hz), beta (13-30Hz), gamma (30-44Hz)), total power, artifact detection (eye blink, jaw clench), Fast Fourier Transform (FFT) coefficients, experimental brain-state classifiers, and more. MuseLab screenshot featuring raw EEG, raw ECG, and raw accelerometer. For any inquiries into the technical specifications, validation, or applications of Muse, please visit: http://developer.choosemuse.com, or contact community@choosemuse.com.