A. INTRO
J&J Biofeedback Information Site This manual updates and expands your knowledge about PhysioLab programs and psychophysiology.
B. COMPARISONS
PRICE_COMPARISONS TT, NEXUS, ETC
C. INNOVATIONS
HARDWARE_INNOVATIONS
D. SENSOR MANAGEMENT
TEMPERATURE
EEG_TYPES
HEART_RATE_VARIABILITY
WIRELESS_USB
SENSOR_TYPES
EEG_MASTER_CONTROL
SENSOR_MANAGEMENT Hooking up sensors and cables to biofeedback equipment
ELECTRODE ADAPTORS
EMG Amplitude
HRVs_2+_PERSONS
RESPIRATION MONITOR
STANDARD_HOOKUPS
EMG_SPECTRUMS Mean-Median_Frequency_EMG
BREATH PACER
CABLE_EXTENSIONS
HR & ECG
SKIN CONDUCTANCE
E. SESSION MANAGEMENT
DATA RECORDING
F. CLIENT MANAGEMENT
CLIENT_INFO
G. RUN SESSION
RUN_SESSION
PROTOCOLS
SCREEN_TABS
TASKS
CHECK_IMPEDANCE
EXIT_AND_SAVE
SCREENS
SAVE_SESSION_DATA
TIME_MANAGEMENT
H. MODIFYING SIGNALS
HIGHLIGHT_FUNCTION
ZOOM
THRESHOLD ADJUSTMENT
SIGNAL_OPTIMIZATION
MODIFY_SETTINGS
SIGNAL CHANGE BAR
LIVE_TABLE_DATA_MANAGEMENT
RESYNCHRONIZE_SIGNALS
USING_TOOLBARS
TOOLBARS-_REVIEW
PROHIBITED FUNCTIONS
FEEDBACK_TIPS
DUAL_SCREEN_TYPES
I. GAMES
DualScreenGames
GAMES PHOTOFILL
I. MEDIA PLAYER VIDEO
VIDEO_MEDIA_PLAYER_ADDINS
MEDIA_PLAYER_VIDEO_PROFILES
J. AUDIO/SOUNDS
SOUND_PROFILES_FOR_ONTARGET
SOUND_FEEDBACK_PROFILES
K. START_PAUSE_STOP
EVENT_MARKER
START_PAUSE_STOP
PAUSE_AND_FREEZE
PRINT_LIVE_SCREEN
L. REPORTS
REPORTS
REVIEW_GRAPHS
[3d2]_HRV_Somatic_FB
M. REPORTS
[4a1]_EEG_Alpha_Theta
Stress_Profiles2
[5a1]_1_EEG
Stress_Profiles
[5a4]_4_EEG
Stress_Profile3
O. MANAGING DATA FILES
EXPORT_TO_EXCEL,_ASC_part_1
EXPORT_TO_EXCEL,_ASC_part_2
RETRIEVING_ARCHIVED_DATA
Kubios_Analysis
ARCHIEVING_SESSION_DATA
P. TROUBLESHOOTING
INSTALLATION_TROUBLESHOOTING
VISTA_ISSUES
FIND_VERSION
TROUBLESHOOTING
S. MODIFYING PROGRAMS
CHANGE_SOUNDS1
CUSTOM_APPLICATIONS
CHANGE_SIGNAL_PROPERTIES
CHANGE_COLORS01
T. MODIFYING HTML TEXT
APPLICATION_HTMLS .
SIMPLE_HTMLS .
U. MODIFYING TASK SEQUENCES
SEQUENCE_TASKS Research Mode
V. PROGRAM DOWNLOADS
Downloads_for_C2_Plus
BioExplorer_link
SmartMind_EEG Smart Mind for C2 Plus
V.a. PROGRAM DOWNLOADS
PhysioPilotPulseApps Special project
PhysioPilot_CO2_Application Special project
PhysioPilot_Download C2 Plus Biofeedback Suite
Old_Hardware_Downloads Classic biofeedback applications.
Couples_Group_Feedback_Suite Couples biofeedback, group biofeedback, team biofeedback in an interactive software application.
PhysioPilotProfiles psychophysiology stress profile software
PhysioPilot_for_the_C2_plus
Research_Mode Research applications for HRV
W. DEVELOPERS
DEVELOPERS
Pelvic_Strengthening
DualThermalMonitor Dentistry Biofeedback
QQ+NSP_File Swingle's Quick Q
SoftwareDevelopmentKit
InnerSmileProtocols Dentistry Biofeedback
PhysioMinder
X. RESEARCHERS
RESEARCHERS
X.a. RESEARCHERS
Lehrer_study
Maier_study
Mars_study
Z. SITEMAP
SITEMAP
EMG - SPECTRAL MEAN / MEDIAN FREQUENCY
Spectrtal EMG shows the distribution of energy by frequency at rest and during work.
 

SPECTRAL MUSCLE sEMG SIGNALS:
2D FFT EMG


A two-dimensional fill graph on showing the frequency distribution of the EMG signal uses a Fast Fourier Transform calculation similar to that for EEG FFTs.  The bottom scale represents frequency in Hz and the vertical scale represents amplitude.

2D FFT sEMGs are useful for showing immediate frequency changes.  The display on the left shows a normal FFT signal, while the one on the right shows how effective this display is for revealing electrical line frequency signal contamination, which appears as regular 50 Hz or 60 Hz spikes within the display. (For more information, see “Artifact Detection” in your Hardware Guide.)

3D FFT EMG

Same as above but shown in 3-D with a third axis representing units of time.  This display is particularly useful for highlighting even small frequency variations over time. This display is processor intensive and should be avoided if you have a slow computer.

Mean-Median (m-m) sEMG Frequency Signals:

J&Js sEMG system  detects the full spectral EMG signal in Wide-filter applications. This allows specialty applications that detect the EMG spectrum and abstract two spectral signals, the spectral mean sEMG frequency, and the spectral median sEMG frequency. These mean and median signals can be placed on line graphs and bar graphs. These graphs allow a rapid and precise way of evaluating the skewness of the spectral sEMG FFTs. Here is an example.

The computer detects the mean and median frequency in the raw spectral EMG signal. It converts the mean and median to line graph signals, like this:


Here is the final result: The mean and median are  shown as a combined band - the narrower the band the closer the mean is to the median.


EMG amplitude is on the top. Mean-median frequency is in the middle, and the amount of skewness is on the bottom.

As amplitude varies, so does the spectral mean and median. Color points indicate brief periods where the muscle expressed a reversal of normal skewness; the mean was above the median frequency for a moment, suggestive of local muscle fatigue. This reversal of skewness is also shown on the bottom graph, as periods where the color bar drops out.

Underlying spectral plot Underlying spectral plot flattened
Underlying spectral plot Underlying spectral plot flattened
Resulting mean freq/median freq. plot mean median emg line
Resulting mean freq/median freq. plot mean median emg line
emg_spetral_all
emg_spetral_all

SPECTRAL MUSCLE sEMG SIGNALS:
2D FFT EMG


A two-dimensional fill graph on showing the frequency distribution of the EMG signal uses a Fast Fourier Transform calculation similar to that for EEG FFTs.  The bottom scale represents frequency in Hz and the vertical scale represents amplitude.

2D FFT sEMGs are useful for showing immediate frequency changes.  The display on the left shows a normal FFT signal, while the one on the right shows how effective this display is for revealing electrical line frequency signal contamination, which appears as regular 50 Hz or 60 Hz spikes within the display. (For more information, see “Artifact Detection” in your Hardware Guide.)

3D FFT EMG

Same as above but shown in 3-D with a third axis representing units of time.  This display is particularly useful for highlighting even small frequency variations over time. This display is processor intensive and should be avoided if you have a slow computer.

Mean-Median (m-m) sEMG Frequency Signals:

J&Js sEMG system  detects the full spectral EMG signal in Wide-filter applications. This allows specialty applications that detect the EMG spectrum and abstract two spectral signals, the spectral mean sEMG frequency, and the spectral median sEMG frequency. These mean and median signals can be placed on line graphs and bar graphs. These graphs allow a rapid and precise way of evaluating the skewness of the spectral sEMG FFTs. Here is an example.

The computer detects the mean and median frequency in the raw spectral EMG signal. It converts the mean and median to line graph signals, like this:


Here is the final result: The mean and median are  shown as a combined band - the narrower the band the closer the mean is to the median.


EMG amplitude is on the top. Mean-median frequency is in the middle, and the amount of skewness is on the bottom.

As amplitude varies, so does the spectral mean and median. Color points indicate brief periods where the muscle expressed a reversal of normal skewness; the mean was above the median frequency for a moment, suggestive of local muscle fatigue. This reversal of skewness is also shown on the bottom graph, as periods where the color bar drops out.

Underlying spectral plot Underlying spectral plot flattened
Underlying spectral plot Underlying spectral plot flattened
Resulting mean freq/median freq. plot mean median emg line
Resulting mean freq/median freq. plot mean median emg line
emg_spetral_all
emg_spetral_all