SlideShare uma empresa Scribd logo
1 de 49
Back to Basics Electronics & Filters In PSG Systems  Will Eckhardt , BS,RPSGT, CRT
Conflicts ,[object Object],[object Object]
What Will Be  Answered in this Presentation  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Pyramidal Neuron EEG  is derived from thousands of synchronized pyramidal cell postsynaptic potentials. Volume Conduction  is the process of current flow through the tissues between the electrical generator and the electrode.
Amplitude of the Recorded Potentials ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Electrode Placement ,[object Object],[object Object],[object Object],[object Object]
Components of  Polysomnography Equipment and their relationship to signal processing.
Path of Signals from the Patient to the Tracing
Recording Electrodes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Headbox ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Wave Form - Input & Output ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Types of Calibration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Amplifiers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Differential Amplifier ,[object Object],[object Object],[object Object],[object Object],[object Object],Identical signals
Signal Polarity ,[object Object],[object Object]
AC Amplifier ,[object Object],[object Object]
DC Amplifier ,[object Object],[object Object],[object Object],[object Object]
Display Features ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Amplification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Gain ,[object Object],[object Object],[object Object],[object Object]
Sensitivity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Video Sensitivity Sensitivity 2 2008_05_04_10_30_38.avi
Computing the Voltage ,[object Object],[object Object],[object Object],[object Object],[object Object]
Sensitivity Settings   ,[object Object],[object Object],[object Object]
Sensitivity Equations  ,[object Object],[object Object],[object Object],Settings: Adult 5-7  µV/mm Children 10  µV/mm
Filters ,[object Object],[object Object],[object Object],[object Object]
Bandwidth
Low Frequency Filter (LFF) ,[object Object],[object Object]
Low Frequency Filtering on EEG Channels Note: Increasing the filter setting attenuates slow waves.
Low Frequency Filters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High Frequency Filter (HFF) ,[object Object],[object Object],[object Object],[object Object],[object Object]
High Frequency Filters  Note: Increasing the filter setting allows more fast waves to be seen.
High Frequency Filters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Examples of typical HFF settings by derivation:
[object Object],[object Object],[object Object],Time Constants
Time Constants ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Time Constants Time Constant Fall time constant = time for the signal to decay from its peak to 37%
Video Time Constant Time Constant 3 2008_05_04_14_40_05.avi
LFF  - Fall  Time Constant ,[object Object],0.1 0.3 1 5 1 0.4 0.12 0.05
60 Hertz / Notch Filter ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sampling Rate Digital Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
sampling rate Low sampling rate Input signal Low sampling rate High sampling rate
Samplling Rates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waveform Display Digital Systems   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dynamic Range ,[object Object]
Troubleshooting from the Patient to the Tracing
Questions?
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

EEG Artifact and How to Resolve
EEG Artifact and How to ResolveEEG Artifact and How to Resolve
EEG Artifact and How to ResolveLalit Bansal
 
Activation Proceedures in EEG.pptx
Activation Proceedures in EEG.pptxActivation Proceedures in EEG.pptx
Activation Proceedures in EEG.pptxPramod Krishnan
 
Brainstem auditory evoked potentials (baep)
Brainstem auditory evoked potentials (baep)Brainstem auditory evoked potentials (baep)
Brainstem auditory evoked potentials (baep)NeurologyKota
 
Magnetoencephalography
MagnetoencephalographyMagnetoencephalography
MagnetoencephalographyNeurologyKota
 
EEG in convulsive and non convulsive seizures in the intensive care unit
EEG in convulsive and non convulsive seizures in the intensive care unitEEG in convulsive and non convulsive seizures in the intensive care unit
EEG in convulsive and non convulsive seizures in the intensive care unitPramod Krishnan
 
Artifact removal from ambulatory eeg
Artifact removal from ambulatory eegArtifact removal from ambulatory eeg
Artifact removal from ambulatory eegMd Kafiul Islam
 
1 basics of eeg and fundamentals of its measurement
1 basics of eeg and fundamentals of its measurement1 basics of eeg and fundamentals of its measurement
1 basics of eeg and fundamentals of its measurementSwathy Ravi
 
EEG guest lecture_iub_eee541
EEG guest lecture_iub_eee541EEG guest lecture_iub_eee541
EEG guest lecture_iub_eee541Md Kafiul Islam
 
Impedence in EEG ( electroencephalography )
Impedence in EEG  ( electroencephalography ) Impedence in EEG  ( electroencephalography )
Impedence in EEG ( electroencephalography ) Vijay Raj Yanamala
 
Evoked potentials (1)
Evoked potentials (1)Evoked potentials (1)
Evoked potentials (1)Maithrikk
 
EEG Variants By IM
EEG Variants By IMEEG Variants By IM
EEG Variants By IMMurtaza Syed
 

Mais procurados (20)

EEG Artifact and How to Resolve
EEG Artifact and How to ResolveEEG Artifact and How to Resolve
EEG Artifact and How to Resolve
 
Activation Proceedures in EEG.pptx
Activation Proceedures in EEG.pptxActivation Proceedures in EEG.pptx
Activation Proceedures in EEG.pptx
 
Mu rhythm
Mu rhythmMu rhythm
Mu rhythm
 
Brainstem auditory evoked potentials (baep)
Brainstem auditory evoked potentials (baep)Brainstem auditory evoked potentials (baep)
Brainstem auditory evoked potentials (baep)
 
Magnetoencephalography
MagnetoencephalographyMagnetoencephalography
Magnetoencephalography
 
EEG in convulsive and non convulsive seizures in the intensive care unit
EEG in convulsive and non convulsive seizures in the intensive care unitEEG in convulsive and non convulsive seizures in the intensive care unit
EEG in convulsive and non convulsive seizures in the intensive care unit
 
EEG artifacts
EEG  artifactsEEG  artifacts
EEG artifacts
 
EEG Generators
EEG GeneratorsEEG Generators
EEG Generators
 
Artifact removal from ambulatory eeg
Artifact removal from ambulatory eegArtifact removal from ambulatory eeg
Artifact removal from ambulatory eeg
 
1 basics of eeg and fundamentals of its measurement
1 basics of eeg and fundamentals of its measurement1 basics of eeg and fundamentals of its measurement
1 basics of eeg and fundamentals of its measurement
 
EEG-132 Pract. (1).ppt
EEG-132 Pract. (1).pptEEG-132 Pract. (1).ppt
EEG-132 Pract. (1).ppt
 
Abnormal eeg
Abnormal eegAbnormal eeg
Abnormal eeg
 
EEG guest lecture_iub_eee541
EEG guest lecture_iub_eee541EEG guest lecture_iub_eee541
EEG guest lecture_iub_eee541
 
Artifacts in eeg final
Artifacts in eeg finalArtifacts in eeg final
Artifacts in eeg final
 
EEG artefacts
EEG artefactsEEG artefacts
EEG artefacts
 
Impedence in EEG ( electroencephalography )
Impedence in EEG  ( electroencephalography ) Impedence in EEG  ( electroencephalography )
Impedence in EEG ( electroencephalography )
 
PLEDS
PLEDSPLEDS
PLEDS
 
EEG & Evoked potentials
EEG & Evoked potentialsEEG & Evoked potentials
EEG & Evoked potentials
 
Evoked potentials (1)
Evoked potentials (1)Evoked potentials (1)
Evoked potentials (1)
 
EEG Variants By IM
EEG Variants By IMEEG Variants By IM
EEG Variants By IM
 

Destaque

idiopathic orbital inflammatory syndrome
idiopathic orbital inflammatory syndromeidiopathic orbital inflammatory syndrome
idiopathic orbital inflammatory syndromeNeurologyKota
 
Signal Filtering
Signal FilteringSignal Filtering
Signal FilteringImane Haf
 
(19) electronic instruments 1
(19) electronic instruments 1(19) electronic instruments 1
(19) electronic instruments 1delhiking92
 
Pre amplifier desiging for phsiological
Pre amplifier desiging for phsiologicalPre amplifier desiging for phsiological
Pre amplifier desiging for phsiologicalSurendra Meena
 
POLYSOMNOGRAPHY & EEG ACTIVATION METHODS
POLYSOMNOGRAPHY & EEG ACTIVATION METHODSPOLYSOMNOGRAPHY & EEG ACTIVATION METHODS
POLYSOMNOGRAPHY & EEG ACTIVATION METHODSNeurologyKota
 
Electroencephalogram(EEG)
Electroencephalogram(EEG)Electroencephalogram(EEG)
Electroencephalogram(EEG)ashikh
 
Brain Finger Printing
Brain Finger PrintingBrain Finger Printing
Brain Finger PrintingGarima Singh
 
Electronics for the Internet of Things
Electronics for the Internet of ThingsElectronics for the Internet of Things
Electronics for the Internet of ThingsAlexandru Radovici
 
P5 Electric Circuits
P5 Electric CircuitsP5 Electric Circuits
P5 Electric Circuitspedro proenca
 
Electro jet drilling
Electro jet drillingElectro jet drilling
Electro jet drillingManish_An2d
 

Destaque (20)

idiopathic orbital inflammatory syndrome
idiopathic orbital inflammatory syndromeidiopathic orbital inflammatory syndrome
idiopathic orbital inflammatory syndrome
 
Eeg presentation
Eeg presentationEeg presentation
Eeg presentation
 
Electroencephalogram
ElectroencephalogramElectroencephalogram
Electroencephalogram
 
Signal Filtering
Signal FilteringSignal Filtering
Signal Filtering
 
Thereport
ThereportThereport
Thereport
 
Eeg
EegEeg
Eeg
 
(19) electronic instruments 1
(19) electronic instruments 1(19) electronic instruments 1
(19) electronic instruments 1
 
Eeg from a to z
Eeg from a to zEeg from a to z
Eeg from a to z
 
Pre amplifier desiging for phsiological
Pre amplifier desiging for phsiologicalPre amplifier desiging for phsiological
Pre amplifier desiging for phsiological
 
Journal review nmo
Journal review nmoJournal review nmo
Journal review nmo
 
Basics of amplifier
Basics of amplifierBasics of amplifier
Basics of amplifier
 
POLYSOMNOGRAPHY & EEG ACTIVATION METHODS
POLYSOMNOGRAPHY & EEG ACTIVATION METHODSPOLYSOMNOGRAPHY & EEG ACTIVATION METHODS
POLYSOMNOGRAPHY & EEG ACTIVATION METHODS
 
Understanding Lab Instruments
Understanding Lab InstrumentsUnderstanding Lab Instruments
Understanding Lab Instruments
 
Electroencephalogram(EEG)
Electroencephalogram(EEG)Electroencephalogram(EEG)
Electroencephalogram(EEG)
 
Instrumentation amplifier in ECG
Instrumentation amplifier  in ECG Instrumentation amplifier  in ECG
Instrumentation amplifier in ECG
 
Brain Finger Printing
Brain Finger PrintingBrain Finger Printing
Brain Finger Printing
 
Electricity lecuture
Electricity lecutureElectricity lecuture
Electricity lecuture
 
Electronics for the Internet of Things
Electronics for the Internet of ThingsElectronics for the Internet of Things
Electronics for the Internet of Things
 
P5 Electric Circuits
P5 Electric CircuitsP5 Electric Circuits
P5 Electric Circuits
 
Electro jet drilling
Electro jet drillingElectro jet drilling
Electro jet drilling
 

Semelhante a Sleep 2008 Electronicsv.3

EEG Basics monish.pptx
EEG Basics monish.pptxEEG Basics monish.pptx
EEG Basics monish.pptxMohinishS
 
Distortion annalyser
Distortion annalyserDistortion annalyser
Distortion annalysermks mk
 
Wave analyzers done by Priyanga KR
Wave analyzers done by Priyanga KRWave analyzers done by Priyanga KR
Wave analyzers done by Priyanga KRPriyangaKR1
 
Signal conversion
Signal conversionSignal conversion
Signal conversionsatheesh714
 
spectrum analyzers ppt
spectrum analyzers pptspectrum analyzers ppt
spectrum analyzers pptAvinash Jadhav
 
Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014Rohde & Schwarz North America
 
Signal Analysers
Signal AnalysersSignal Analysers
Signal AnalysersDhruv Shah
 
LefebvreAustinLab4FormalReport
LefebvreAustinLab4FormalReportLefebvreAustinLab4FormalReport
LefebvreAustinLab4FormalReportAustin Lefebvre
 
biomedical signal processing and its analysis
biomedical signal processing and its analysisbiomedical signal processing and its analysis
biomedical signal processing and its analysism8171611219
 
Module-V-Wave-Analyzers-G.Anitha.ppt
Module-V-Wave-Analyzers-G.Anitha.pptModule-V-Wave-Analyzers-G.Anitha.ppt
Module-V-Wave-Analyzers-G.Anitha.pptMANIMEGALAIMECE
 
Architecture of Smart Sensors.ppt
Architecture of Smart Sensors.pptArchitecture of Smart Sensors.ppt
Architecture of Smart Sensors.pptmrunalinithanaraj
 
DSP applications in medical field.
DSP applications in medical field.DSP applications in medical field.
DSP applications in medical field.Ethar Sayed
 

Semelhante a Sleep 2008 Electronicsv.3 (20)

EEG Basics monish.pptx
EEG Basics monish.pptxEEG Basics monish.pptx
EEG Basics monish.pptx
 
spectrum analyzer
spectrum analyzerspectrum analyzer
spectrum analyzer
 
EMI Unit II
EMI Unit IIEMI Unit II
EMI Unit II
 
Amplifiers, filters and digital recording systems
Amplifiers, filters and digital recording systemsAmplifiers, filters and digital recording systems
Amplifiers, filters and digital recording systems
 
Distortion annalyser
Distortion annalyserDistortion annalyser
Distortion annalyser
 
Wave analyzers done by Priyanga KR
Wave analyzers done by Priyanga KRWave analyzers done by Priyanga KR
Wave analyzers done by Priyanga KR
 
Spectrum
SpectrumSpectrum
Spectrum
 
Signal conversion
Signal conversionSignal conversion
Signal conversion
 
spectrum analyzers ppt
spectrum analyzers pptspectrum analyzers ppt
spectrum analyzers ppt
 
Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014
 
signal.ppt
signal.pptsignal.ppt
signal.ppt
 
Signal Analysers
Signal AnalysersSignal Analysers
Signal Analysers
 
LefebvreAustinLab4FormalReport
LefebvreAustinLab4FormalReportLefebvreAustinLab4FormalReport
LefebvreAustinLab4FormalReport
 
biomedical signal processing and its analysis
biomedical signal processing and its analysisbiomedical signal processing and its analysis
biomedical signal processing and its analysis
 
Module-V-Wave-Analyzers-G.Anitha.ppt
Module-V-Wave-Analyzers-G.Anitha.pptModule-V-Wave-Analyzers-G.Anitha.ppt
Module-V-Wave-Analyzers-G.Anitha.ppt
 
Emi fifth-sem-spectrum-analyzer
Emi fifth-sem-spectrum-analyzerEmi fifth-sem-spectrum-analyzer
Emi fifth-sem-spectrum-analyzer
 
Signal conditioning
Signal conditioningSignal conditioning
Signal conditioning
 
3D Spatial Response
3D Spatial Response3D Spatial Response
3D Spatial Response
 
Architecture of Smart Sensors.ppt
Architecture of Smart Sensors.pptArchitecture of Smart Sensors.ppt
Architecture of Smart Sensors.ppt
 
DSP applications in medical field.
DSP applications in medical field.DSP applications in medical field.
DSP applications in medical field.
 

Sleep 2008 Electronicsv.3

Notas do Editor

  1. analog Of, relating to, or being a device in which data are represented by continuously variable, measurable, physical quantities, such as length, width, voltage, or pressure. Or a circuit or device having an output that is proportional to the input; "analogue device" Digital-Of or relating to a device that can read, write, or store information that is represented in numerical form
  2. Resting potential- the cell is polarized in a way in which the cell is negative inside and positive outside. When the polarized cell receives a stimulus, depolarization takes place. This stimulus causes the cell membrane to suddenly become permeable to Na+ ions and they rush into the cell in an attempt to lessen their concentration gradient. In the area immediately affected by the impulse the cell becomes more positively charged. The switching of sodium ions continues all along the surface of the neuron, causing a change in net electrical charge which moves along the length of the cell. Volume conduction of electrical events in the body. The tissues of the body can and do conduct electricity. The body and its parts are 3-dimensional structures and therefore have volume. Electrical currents spread (are conducted) throughout this volume, thus it is correct to speak of "volume conduction" of electricity in tissue. Because of the conductivity of tissue, at rest the volume conductor formed by the body is of equal potential (isopotential) at all points. When a dipole is formed, current flows until isopotentiality is reached.
  3. The tissue lying between the generating cells and the recording electrode through which electrical current must flow forms an electrical volume conductor. The volume conductor greatly modifies the amplitude and morphology of the cortical signal before it reaches the recording electrodes. The epidermis is the thin outer layer of the skin. The epidermis itself is made up of three sub-layers: status corneum (horny layer) This layer contains continually shedding, dead keratinocytes (the primary cell type of the epidermis). The keratin, a protein formed from the dead cells, protects the skin from harmful substances. keratinocytes (squamous cells) This layer contains living keratinocytes (squamous cells), which help provide the skin with what it needs to protect the rest of the body. basal layer The basal layer is the inner layer of the epidermis, containing basal cells. Basal cells continually divide, forming new keratinocytes and replacing the old ones that are shed from the skin's surface. The epidermis also contains melanocytes, which are cells that produce melanin (skin pigment).
  4. In polysomnography we measure voltages of waveforms and therefore calibration becomes necessary. We use a known voltage e.g. 50uV and derive a desired output. Inputting a voltage creates a square wave of which the output is modified by settings e.g. Gain and filter. Another setting that relates to output is the sensitivity setting. This relates amplifier output voltage to pen deflection. For example a common sensitivity setting is 7uV/mm. This is to say for every 7uV we should see a 1mm deflection. If I use a 50uV cal signal I therefore get a deflection of 7.14mm 50 / 7=7.14 We also use calibration to verify the integrity of each channel by showing that like channels amplify and filter the same signal in the same way. Digital systems use cursors which give you the voltage eliminating the need for the calculations. In order to verify that such as system is working correctly though you would use an external signal generator and verify output to input is correct. Calibrations should be performed at the beginning and end of the study.
  5. Discrimination is the ability of the amplifier to reveal differences in electrical potential between amplifier electrode inputs 1 & 2 while rejecting potentials which are common to the inputs.
  6. The reason we use differential amplifiers is to eliminate potentials from sources other that the bio-electrical potentials and transduced signals that we are trying to record. The environment we record in often contains voltage interference from various sources also our bodies produce signals that we do not wish to record. When both inputs receive these signals they are rejected and are not a problem. They are rejected as common mode signal. Another type of amplifier that may be in your system is the single ended amplifier. This is an amplifier that is used merely to further increase the voltage of the signals recorded. They do not have filters or discrimination. A differential amplifier is used to amplify only the difference between two selected inputs. CMRR is the process of two like signals canceling each other out. If you reference an electrode to itself you would get no signal this happens when one has a salt bridge.
  7. So the polarity of the output depends on the polarity of the input signal and to which terminal it is applied.
  8. In polysomnography we use the terms “AC” and “DC” to describe the characteristics of various recorded voltages. We also use the terms “AC” and “DC” to describe the type of amplifier used to record these two types of signals.
  9. An AC amp. Can not do a linear scale because it has a time constant and always goes back to baseline.
  10. If I where to solve the above equation I must know my deflection and the voltage. where I is the current in amperes , V is the potential difference between two points of interest in volts , and R is a circuit parameter, measured in ohms (which is equivalent to volts per ampere), and is called the resistance . where I is the current in amperes , V is the potential difference between two points of interest in volts , and R is a circuit parameter, measured in ohms (which is equivalent to volts per ampere), and is called the resistance . I=E/R Ohm’s Law Current is directly proportional to applied voltage and inversely proportional to resistance. The basic unit of current (I) is the ampere (A). Movement of electrons The basic unit of electromotive force (E) is the volt (V). The basic unit of resistance is the ohm (R). I = E/R D= V/S (polysomnography) Voltage (E) = Input voltage (V) Resistance (R) = Sensitivity (S) Current (I) = Pen Deflection (D) Sensitivity = Voltage/Deflection
  11. If I would rather solve for voltage I would again determine my deflection and multiply by the sensitivity.
  12. For those of you math challenged there is a simple way of remembering how to solve for a variable. Draw a circle divide the circle in half horizontally. Then divide the lower half vertically. Now put a V in the top half of the circle. In lower half put a D in the first section and S in the other. Now when solving for a variable cover that letter. Then solve by multiplying values on the same level or dividing values on diff. levels upper over lower. V over D & S Sensitivity is the input voltage ( µ V) required to produce a 1 millimeter (mm) of pen deflection at the output.
  13. Electromotive force (EMF) measured in volts (V) is the strength of the interaction of positive and negative electrical charges and reflects the potential or tendency for charges to attract or repel. Voltage by definition is the maximum work that can be extracted as one unit of positive charge moves from one point to another. A potential difference between two points of one volt will require one joule of work to move a positive charge of one coulomb from the point of lower potential to the point of higher potential. Current is the movement of electrons through a conductor connected to two points when there is a potential difference of charge between the two points. Resistance is the opposite of conductance, resistance reflects the forces working against current flow. Resistance to AC current is called “impedance” whereas the term “resistance” is for DC current, although a resistor reduces the flow equally in DC or AC current and is not affected by the frequency of alternating current.
  14. Delta 0.5 – 2 Hz duration
  15. Time constant = inductance / resistance Inductance is the ability of a conductor to induce voltage in itself, measured in henrys (H) Resistance is the opposition to current flow, measured in ohms; resistance = volts / current
  16. It is important to know what causes the 60 Hz so leaving on the notch filter is counter to a good study. Poorly applied leads-high impedance Pt. or machine or building not grounded Ungrounded equipment near the recording equipment.
  17. This is determined by the Nyquist Theorem which gives us the Nyquist Rate. The Nyquist Rate is 2 times the high frequency filter. We wish to sample at a rate higher then the Nyquist Rate because we will get a more accurate display of waveform morphology. Sampling rate does effect data storage the higher the rate the more data collected. So setting each channels sample rate rather than using the highest high frequency filter within the system may be more practical.
  18. Each bit is a power of two
  19. The range of voltages that the channel can display. This may be changed by changing the sensitivity setting. If you are going beyond the dynamic range you would need to lower the sensitivity by increasing the sensitivity setting. Say from 10 uV/mm to 20 uV/mm.