PXI-Based Magnetic Imaging System for Diagnosing Infant Brain Activity Tristan Technologies, Inc., San Diego, CA
Slide 2babySQUID ® Neonatal Biomagnetometer S uperconducting QU antum I nterference D evice
Slide 3Competing Methodologies Adult Magnetoencephalography (MEG) Multi-million dollar frameworks requiring extensive attractively protected rooms Poorer spatial determination fMRI Not genuinely "utilitarian" Poor time determination Requires babies to be calmed Contrast specialists frequently required PET Requires organization of radioisotopes may not be conceivable with newborn children Poor time determination EEG Lack of one of a kind source area Electrodes must be set on skull (tedious)
Slide 4another approach to assess neurological hindrances of babies by attractive mapping 100% non-intrusive MEG (MagnetoEncephaloGraphy) Directly measures neural movement Portable – goes from healing facility lift to bedside Needs NO protected room
Slide 5Data Acquisition System 24 bit determination 10 kSample/sec testing rate, synchronous 88 information channels, expandable Both equipment and programming supported Fiber optic information connect Multi-PXI arrangement as of now being produced
Slide 6babySQUID ® User Interface
Slide 7babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 8babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 9RealTime Head Tracking Zoom Pan Rotate
Slide 10RealTime Head Tracking Zoom Pan Rotate
Slide 11RealTime Head Tracking Zoom Pan Rotate
Slide 12RealTime Head Tracking Zoom Pan Rotate
Slide 13RealTime Head Tracking Zoom Pan Rotate
Slide 14RealTime Head Tracking Zoom Pan Rotate
Slide 15RealTime Head Tracking Zoom Pan Rotate
Slide 16RealTime Head Tracking Zoom Pan Rotate
Slide 17RealTime Head Tracking Zoom Pan Rotate
Slide 18Simulated Field Projected onto Skin Surface
Slide 19Simulated Field Projected onto Skin Surface
Slide 20Simulated Field Projected onto Skin Surface
Slide 21Simulated Field Projected onto Skin Surface
Slide 22babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 23babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 24Averaged Data Incoming Data
Slide 25Averaged Data Incoming Data
Slide 26Averaged Data Incoming Data
Slide 27Averaged Data Incoming Data
Slide 28Averaged Data Incoming Data
Slide 29Averaged Data Incoming Data
Slide 30Averaged Data Incoming Data
Slide 31Averaged Data Incoming Data
Slide 32Averaged Data Incoming Data
Slide 33Averaged Data Incoming Data
Slide 34Averaged Data Incoming Data
Slide 35Averaged Data Incoming Data
Slide 36babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 37babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 38Live PlayBack Simulation Selectable Data Source
Slide 39Just turn the handle!
Slide 40babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 41babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 42Many Data Displays Sub-boards permit dynamic stacking Scope Correlation Intensity Linear Butterfly Time-Freq Surface User-Defined
Slide 43babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 44babySQUID ® User Interface Sensor Positioning Incoming Data Live, Playback, & Simulation Filters & Filter editors Monitoring Displays Data Averaging Artifact Rejection Filters & Filter editors Monitoring Displays
Slide 45Multiple Stackable Filters Sub-boards permit dynamic stacking FIR/IIR channels Decimation Spectrogram Wavelet Ref. Chan. Corr. Client characterized
Slide 46Reference Channel Correlation Removes far off clamor sources
Slide 47Spectrogram Mask Frequency versus Time Threshold Mask
Slide 48Spectrogram Mask Frequency versus Time Threshold Mask
Slide 49Spectrogram Mask Frequency versus Time Threshold Mask
Slide 50Spectrogram Mask Frequency versus Time Threshold Mask
Slide 51Spectrogram Mask Frequency versus Time Block Cursor
Slide 52Spectrogram Mask Frequency versus Time Block Cursor
Slide 53Spectrogram Mask Frequency versus Time Block Cursor
Slide 54Spectrogram Mask Frequency versus Time Block Cursor
Slide 55Spectrogram Mask Frequency versus Time Block Cursor
Slide 56Spectrogram Mask Frequency versus Time Block Cursor
Slide 57Spectrogram Mask Frequency versus Time Block Cursor
Slide 58Wavelets extricate concealed signs
Slide 59Noise Analysis
Slide 60Averaging of Repetitive Stimulus Data Incoming information from N trigger channels is contrasted with an arrangement of Boolean Templates for occasion discovery If a match is discovered, information in the region of the match is added to an Averaging Bin 10 free Templates and Averaging Bins are accessible Artifact Rejection calculations
Slide 61Template Comparison Trigger 1 must have an occasion in here Trigger 2 must have an occasion in here Trigger 4 must NOT have an occasion in here
Slide 62Averaged Linear Display
Slide 63Averaged Linear Display
Slide 64Averaged Linear Display
Slide 65Averaged Linear Display
Slide 66Averaged Linear Display
Slide 67Averaged Linear Display
Slide 68Averaged Linear Display
Slide 69Handy for different screen equipment! Discharge/Dock Panels
Slide 70Handy for different screen equipment! Discharge/Dock Panels
Slide 71Handy for numerous screen equipment! Discharge/Dock Panels
Slide 72Handy for various screen equipment! Discharge/Dock Panels
Slide 73Handy for various screen equipment! Discharge/Dock Panels
Slide 74Frequency versus Time Gabor Adaptive Cone-Shaped Choi-Williams Wigner-Ville STFT
Slide 75Frequency versus Time Gabor Adaptive Cone-Shaped Choi-Williams Wigner-Ville STFT
Slide 76Frequency versus Time Gabor Adaptive Cone-Shaped Choi-Williams Wigner-Ville STFT
Slide 77Averaged Surface Display Moving time cut crosswise over channels
Slide 78Averaged Surface Display Moving time cut crosswise over channels
Slide 79Averaged Surface Display Moving time cut crosswise over channels
Slide 80Averaged Surface Display Moving time cut crosswise over channels
Slide 81Averaged Surface Display Moving time cut crosswise over channels
Slide 82Averaged Surface Display Moving time cut crosswise over channels
Slide 83Averaged Surface Display Moving time cut crosswise over channels
Slide 84Averaged Surface Display Moving time cut crosswise over channels
Slide 85Averaged Surface Display Moving time cut crosswise over channels
Slide 86Averaged Surface Display Moving time cut crosswise over channels
Slide 87Averaged Surface Display Moving time cut crosswise over channels
Slide 88Averaged Surface Display Moving time cut crosswise over channels
Slide 89Averaged Surface Display Moving time cut crosswise over channels
Slide 90Averaged Surface Display Moving time cut crosswise over channels
Slide 91Current Vector outline Data
Slide 92Signal from 6 mo. Newborn child in Unshielded Hospital Environment 150 ms 400 fT
Slide 93Forearm animated by electrical boost at middle nerve Peripheral Nerve – Adult Data Sensor design show Neural flag has moved by 5 cm in 2 msec (first pinnacle is the jolt antique) Physical area of arm
Slide 94User can adjust programming to: Any sensor arrangement Any number of sensors Any sensor sort (MEG, EEG, and so forth.) or blend (in addition to client characterized sorts) Speeds up to 102 KiloSamples/sec all the while
Slide 95Additional elements Automated framework log Compatible with BESA and EMSE Subject and Project databases Available for Unix, Linux, Windows, Mac, RT National dialects can be stacked
Slide 96Neonatal neurological issue cost society billions of dollars, e.g. cerebral paralysis & epilepsy Magnetic estimations are the best way to analyze newborn child cerebrum action, and no protected room makes it reasonable Neurological pharmaceutical can be specifically assessed Supported by NIH SBIR Grant # 5 R4 NS038806-04
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