The document discusses normal neonatal EEG patterns. It describes the typical EEG background patterns seen at different conceptional ages, including trace discontinu, mixed voltage, and high voltage slow patterns. It discusses normal developmental milestones, such as the development of interhemispheric synchrony and continuity. The document also describes normal transient patterns like frontal sharp transients and rolandic dips/sharps. Parameters for distinguishing sleep stages are provided, along with typical sleep-wake cycles at different ages. Guidelines are given for determining what constitutes an abnormal EEG finding in neonates.
This pattern discusses the various EEG patterns seen in term as well as pre term neonates. Normal Variations as well as pathological traces are discussed
1. The document discusses various abnormal EEG patterns including slowing, spikes, sharp waves, and other abnormalities. It provides details on types of slowing such as focal, regional, and generalized slowing.
2. Different types of spikes and sharp waves are defined including their durations. Both focal and generalized spike/sharp wave abnormalities are described.
3. Specific abnormal EEG patterns are explained in detail such as frontal intermittent rhythmic delta activity (FIRDA), polymorphic delta activity (PDA), and benign focal epilepsies of childhood including rolandic and occipital epilepsy. Causes and differentiation of these patterns are provided.
Normal EEG patterns, frequencies, as well as patterns that may simulate diseaseRahul Kumar
This presentation discusses the vast range of traces that show the variations in normal EEG patterns, as well as discussing the frequency and amplitudes of various normal waveforms.
The document discusses EEG of children and sleep activity. It provides background on the use of EEG and describes the different normal EEG waves seen in children including alpha, beta, theta, and delta waves. It discusses how EEG is used to study sleep and outlines the different sleep stages. Key points covered include the international 10-20 system for electrode placement, common EEG artifacts, and physiological measures used to study sleep such as EEG, EOG, and EMG tracings.
This presentation looks at EEG signal generation, pyramidal cells, recording of EEG, source localisation, polarity, analysis of dipole, derivations, montages,
This document discusses different types of artifacts that can appear on an EEG, including physiological and extraphysiological artifacts. It focuses on cardiac artifacts, which can be electrical or mechanical in nature. Electrical cardiac artifact appears as a QRS complex on EEG electrodes due to the electrical activity of the heart. Mechanical cardiac artifacts include pulse artifact seen over vessels and ballistocardiographic artifact from head/body movement with heartbeats. The document provides details on distinguishing cardiac artifacts from epileptiform activity and other EEG patterns. It also discusses electrode artifacts and artifacts from external devices.
1) The document describes several benign EEG variants that can occur but are not associated with epilepsy. These include wicket waves, benign sporadic sleep spikes, 6 per second spike-waves, 14 & 6 Hz positive spikes, and more.
2) The variants are described in terms of their frequency, location, morphology, when they typically occur, and other characteristics. For example, wicket waves occur in the alpha frequency range and are seen unilaterally in the temporal region.
3) Many of the variants are considered normal variants seen in relaxed wakefulness, drowsiness, or different stages of sleep. They are commonly seen in different age groups but are not clinically significant or associated with epilepsy.
This document provides an overview of normal EEG patterns in adults. It begins with a brief history of EEG and then describes the basic electrical activity generated by the brain and how EEG recordings work. It outlines the normal frequency bands seen in EEG - delta, theta, alpha, beta and gamma. Specific normal EEG patterns like the alpha rhythm, vertex waves, sleep spindles and K-complexes are described. It also discusses benign variants and activation procedures. In summary, the document serves as a reference for the typical EEG patterns seen in healthy, awake and sleeping adults.
This pattern discusses the various EEG patterns seen in term as well as pre term neonates. Normal Variations as well as pathological traces are discussed
1. The document discusses various abnormal EEG patterns including slowing, spikes, sharp waves, and other abnormalities. It provides details on types of slowing such as focal, regional, and generalized slowing.
2. Different types of spikes and sharp waves are defined including their durations. Both focal and generalized spike/sharp wave abnormalities are described.
3. Specific abnormal EEG patterns are explained in detail such as frontal intermittent rhythmic delta activity (FIRDA), polymorphic delta activity (PDA), and benign focal epilepsies of childhood including rolandic and occipital epilepsy. Causes and differentiation of these patterns are provided.
Normal EEG patterns, frequencies, as well as patterns that may simulate diseaseRahul Kumar
This presentation discusses the vast range of traces that show the variations in normal EEG patterns, as well as discussing the frequency and amplitudes of various normal waveforms.
The document discusses EEG of children and sleep activity. It provides background on the use of EEG and describes the different normal EEG waves seen in children including alpha, beta, theta, and delta waves. It discusses how EEG is used to study sleep and outlines the different sleep stages. Key points covered include the international 10-20 system for electrode placement, common EEG artifacts, and physiological measures used to study sleep such as EEG, EOG, and EMG tracings.
This presentation looks at EEG signal generation, pyramidal cells, recording of EEG, source localisation, polarity, analysis of dipole, derivations, montages,
This document discusses different types of artifacts that can appear on an EEG, including physiological and extraphysiological artifacts. It focuses on cardiac artifacts, which can be electrical or mechanical in nature. Electrical cardiac artifact appears as a QRS complex on EEG electrodes due to the electrical activity of the heart. Mechanical cardiac artifacts include pulse artifact seen over vessels and ballistocardiographic artifact from head/body movement with heartbeats. The document provides details on distinguishing cardiac artifacts from epileptiform activity and other EEG patterns. It also discusses electrode artifacts and artifacts from external devices.
1) The document describes several benign EEG variants that can occur but are not associated with epilepsy. These include wicket waves, benign sporadic sleep spikes, 6 per second spike-waves, 14 & 6 Hz positive spikes, and more.
2) The variants are described in terms of their frequency, location, morphology, when they typically occur, and other characteristics. For example, wicket waves occur in the alpha frequency range and are seen unilaterally in the temporal region.
3) Many of the variants are considered normal variants seen in relaxed wakefulness, drowsiness, or different stages of sleep. They are commonly seen in different age groups but are not clinically significant or associated with epilepsy.
This document provides an overview of normal EEG patterns in adults. It begins with a brief history of EEG and then describes the basic electrical activity generated by the brain and how EEG recordings work. It outlines the normal frequency bands seen in EEG - delta, theta, alpha, beta and gamma. Specific normal EEG patterns like the alpha rhythm, vertex waves, sleep spindles and K-complexes are described. It also discusses benign variants and activation procedures. In summary, the document serves as a reference for the typical EEG patterns seen in healthy, awake and sleeping adults.
- The EEG records electrical activity from the cerebral cortex which is amplified over 10 million times to be visible. It detects action potentials and post-synaptic potentials from neurons.
- Electrodes are placed on standardized locations on the scalp according to the 10-20 or 10-10 systems to allow comparison across studies. Recordings can be bipolar between adjacent electrodes or referential against a common electrode.
- Activity is recorded through amplifiers and can be displayed through different montages optimized for localization or overall brain activity. Calibration ensures consistent sensitivity and filtering removes unwanted interference.
EEG variants, are always to be recognized while interpreting the EEG one must be aware of these. Major and most common EEG is variants are discussed in the stated presentation.
Syed Irshad Murtaza.
1. PLEDs (Periodic Lateralized Epileptiform Discharges) are a pattern seen on EEG characterized by periodic discharges that are lateralized to one hemisphere.
2. They are commonly seen in conditions involving acute brain injury or inflammation such as stroke, encephalitis, tumors, or hypoxic ischemic encephalopathy.
3. PLEDs are associated with a risk of seizures but generally indicate an unstable brain state that will improve over time as the underlying condition resolves. Prognosis depends on the specific cause.
EEG artifacts can arise from various physiological and extraphysiological sources other than brain activity. Physiological artifacts originate from the patient's own generator sources like eye movements, muscle activity, movement, and cardiac activity. Extraphysiological artifacts are externally generated, such as from medical devices, electrical equipment, or the environment. Common EEG artifacts include cardiac artifacts like ECG signals, ballistocardiographic artifacts from head or body movement, pacemaker signals, and pulse artifacts. Electrode artifacts can be transient pops or low frequency rhythms across electrodes from poor contact or movement. External artifacts include 50/60 Hz ambient noise, intravenous drips, and signals from devices like pumps and ventilators. Muscle and ocular artifacts
This presentation looks at abnormal EEG patterns with examples for each. Benign variants, artifacts and focal ictal patterns are not part of this presentation.
This presentation looks at generalised periodic epileptiform discharges and the various disorders like Creutzfeldt Jacob disease (CJD), SSPE and metabolic encephalopathies in which it is seen. SIRPID is also discussed. Triphasic waves are described. Radermacker complexes in SSPE are described.
1. The document defines abnormal EEG patterns (AEPs) and describes two main types: non-epileptiform and epileptiform.
2. Non-epileptiform patterns include slow waves, which can be focal or diffuse, and amplitude/frequency asymmetry. Epileptiform patterns consist of spike and sharp waves that can be focal or generalized.
3. Specific AEPs are described such as benign rolandic epilepsy, 3/sec spike-wave, periodic lateralized epileptiform discharges, and others associated with various neurological conditions.
This lecture is all about the recognition of an abnormal EEG, its characteristics, its appearance and all about how to differentiate the abnormal activity with normal EEG background.
The document summarizes the history and technical aspects of conventional EEG. It discusses how EEG works to detect and amplify the brain's electrical activity, which is measured using electrodes placed on the scalp. Different electrode placements and montages are used to view brain activity from various regions and perspectives. While imaging techniques now provide anatomical details, EEG remains clinically useful for evaluating brain function in various neurological disorders.
1 basics of eeg and fundamentals of its measurementSwathy Ravi
The document discusses the basics of EEG and its measurement. It provides a timeline of EEG invention from 1875 to 1924. It describes how EEG signals are generated from neuronal structures and propagated through electrical signals. It explains how EEG is recorded using a modern EEG machine and electrode placement systems. It discusses filters, amplifiers, polarity conventions, montages, artifacts, and clinical applications of EEG for monitoring brain activity.
The document summarizes the stages of sleep as assessed by polysomnography. It describes the key EEG patterns, eye movements, and muscle activity that characterize each stage:
Stage 1 is characterized by low voltage mixed frequency EEG activity, vertex sharp waves, and slow eye movements. Stage 2 involves sleep spindles and K complexes in the EEG along with occasional slow eye movements. Stage 3 contains 20-50% slow wave activity in the EEG. REM sleep involves rapid eye movements and EEG desynchronization resembling wakefulness, along with muscle atonia. The stages cycle throughout the night in a progression from light to deep sleep and back to light sleep.
The document discusses how different drugs can affect EEG interpretation. It notes that the quantity of medication in a patient influences the EEG, depending on factors like dose and metabolism. It provides examples of specific drugs that may elicit different EEG patterns, such as background slowing with phenytoin, excess beta with GABA agonists like barbiturates and benzodiazepines, epileptiform activity, triphasic waves, theta and delta activity, and coma patterns. Certain medications are also more likely to produce beta activity in children versus adults or with acute versus chronic use. Very high doses of some medications can cause spikes or polyspikes. Diffuse delta and excess theta may indicate neurotoxicity associated with certain anti-
The document discusses normal EEG patterns in various age groups from neonatal to adulthood. In neonates, the EEG pattern depends on gestational age and includes discontinuity in premature infants. In infancy and early childhood, the posterior dominant rhythm increases in frequency and reactivity emerges. By adolescence, the EEG begins to resemble the adult pattern with less delta activity. The normal adult EEG shows an alpha rhythm over the occipital lobe that attenuates with eye opening. Theta is only present in sleep while delta is never seen in awake adults.
Lambda waves are sharp transients that occur over the occipital region during visual exploration, mainly positive relative to other areas and time locked to saccadic eye movements. They have a biphasic or triphasic shape and vary in amplitude up to 50 μV. Lambda waves are most common in children aged 3-12 and are precipitated by voluntary eye movements.
This document discusses different types of artifacts that can appear on an EEG, including how to identify and eliminate them. It separates artifacts into physiological artifacts originating from the patient's body (e.g. eye movements, muscle activity), and extraphysiological artifacts from external sources (e.g. electrodes, equipment, environment). Specific artifact types like blinks, lateral eye movements, muscle activity are described. Guidelines provided on how to reduce artifacts include closing the eyes, relaxing muscles, ensuring good electrode contact, and shielding from environmental interference.
The document discusses the function and history of EEG and describes different brain wave patterns. It summarizes:
1) EEG measures brain waves through electrodes placed on the scalp, detecting voltage fluctuations from neuron action potentials. It uses silver electrodes to obtain accurate readings through the skull and other tissues.
2) There are different brain wave patterns associated with different brain states and sleep stages, including alpha waves during relaxation, beta waves during activity, theta waves during drowsiness, and delta waves during deep sleep.
3) The history of EEG began in 1875 with experiments localizing brain functions, and the first human EEG was recorded in 1924, leading to discoveries of additional wave types and correlations with brain states.
EEG artefacts arise from unwanted electrical activity from sources other than the brain, such as eye movements, muscle activity, and environmental noise. Identifying artefacts can be challenging as some resemble brain activity. Methods for removing artefacts include filtering, regression-based approaches, and independent component analysis, which transforms scalp channel data into spatially independent sources that may represent brain or non-brain activity. Careful inspection of component properties like scalp maps, time courses, and spectra is needed to classify them as representing brain activity or artefacts.
Calibration of an EEG machine involves checking various parameters to ensure accurate measurements. It is important as it allows correct interpretation of recordings and comparison to previous studies. Parameters checked include paper speed, pen alignment, centering and damping, time constant, high frequency filter, sensitivity, amplitude linearity, gain, noise level and more. Verifying these helps identify any issues needing adjustment and confirms the machine is functioning properly.
The document summarizes key aspects of local anesthetics including:
1. It discusses the history and development of various local anesthetic compounds.
2. It describes the anatomy and physiology of nerve conduction and how local anesthetics work by blocking sodium channels.
3. It compares the mechanisms of action, pharmacokinetics, and differences between amide and ester local anesthetics.
- The EEG records electrical activity from the cerebral cortex which is amplified over 10 million times to be visible. It detects action potentials and post-synaptic potentials from neurons.
- Electrodes are placed on standardized locations on the scalp according to the 10-20 or 10-10 systems to allow comparison across studies. Recordings can be bipolar between adjacent electrodes or referential against a common electrode.
- Activity is recorded through amplifiers and can be displayed through different montages optimized for localization or overall brain activity. Calibration ensures consistent sensitivity and filtering removes unwanted interference.
EEG variants, are always to be recognized while interpreting the EEG one must be aware of these. Major and most common EEG is variants are discussed in the stated presentation.
Syed Irshad Murtaza.
1. PLEDs (Periodic Lateralized Epileptiform Discharges) are a pattern seen on EEG characterized by periodic discharges that are lateralized to one hemisphere.
2. They are commonly seen in conditions involving acute brain injury or inflammation such as stroke, encephalitis, tumors, or hypoxic ischemic encephalopathy.
3. PLEDs are associated with a risk of seizures but generally indicate an unstable brain state that will improve over time as the underlying condition resolves. Prognosis depends on the specific cause.
EEG artifacts can arise from various physiological and extraphysiological sources other than brain activity. Physiological artifacts originate from the patient's own generator sources like eye movements, muscle activity, movement, and cardiac activity. Extraphysiological artifacts are externally generated, such as from medical devices, electrical equipment, or the environment. Common EEG artifacts include cardiac artifacts like ECG signals, ballistocardiographic artifacts from head or body movement, pacemaker signals, and pulse artifacts. Electrode artifacts can be transient pops or low frequency rhythms across electrodes from poor contact or movement. External artifacts include 50/60 Hz ambient noise, intravenous drips, and signals from devices like pumps and ventilators. Muscle and ocular artifacts
This presentation looks at abnormal EEG patterns with examples for each. Benign variants, artifacts and focal ictal patterns are not part of this presentation.
This presentation looks at generalised periodic epileptiform discharges and the various disorders like Creutzfeldt Jacob disease (CJD), SSPE and metabolic encephalopathies in which it is seen. SIRPID is also discussed. Triphasic waves are described. Radermacker complexes in SSPE are described.
1. The document defines abnormal EEG patterns (AEPs) and describes two main types: non-epileptiform and epileptiform.
2. Non-epileptiform patterns include slow waves, which can be focal or diffuse, and amplitude/frequency asymmetry. Epileptiform patterns consist of spike and sharp waves that can be focal or generalized.
3. Specific AEPs are described such as benign rolandic epilepsy, 3/sec spike-wave, periodic lateralized epileptiform discharges, and others associated with various neurological conditions.
This lecture is all about the recognition of an abnormal EEG, its characteristics, its appearance and all about how to differentiate the abnormal activity with normal EEG background.
The document summarizes the history and technical aspects of conventional EEG. It discusses how EEG works to detect and amplify the brain's electrical activity, which is measured using electrodes placed on the scalp. Different electrode placements and montages are used to view brain activity from various regions and perspectives. While imaging techniques now provide anatomical details, EEG remains clinically useful for evaluating brain function in various neurological disorders.
1 basics of eeg and fundamentals of its measurementSwathy Ravi
The document discusses the basics of EEG and its measurement. It provides a timeline of EEG invention from 1875 to 1924. It describes how EEG signals are generated from neuronal structures and propagated through electrical signals. It explains how EEG is recorded using a modern EEG machine and electrode placement systems. It discusses filters, amplifiers, polarity conventions, montages, artifacts, and clinical applications of EEG for monitoring brain activity.
The document summarizes the stages of sleep as assessed by polysomnography. It describes the key EEG patterns, eye movements, and muscle activity that characterize each stage:
Stage 1 is characterized by low voltage mixed frequency EEG activity, vertex sharp waves, and slow eye movements. Stage 2 involves sleep spindles and K complexes in the EEG along with occasional slow eye movements. Stage 3 contains 20-50% slow wave activity in the EEG. REM sleep involves rapid eye movements and EEG desynchronization resembling wakefulness, along with muscle atonia. The stages cycle throughout the night in a progression from light to deep sleep and back to light sleep.
The document discusses how different drugs can affect EEG interpretation. It notes that the quantity of medication in a patient influences the EEG, depending on factors like dose and metabolism. It provides examples of specific drugs that may elicit different EEG patterns, such as background slowing with phenytoin, excess beta with GABA agonists like barbiturates and benzodiazepines, epileptiform activity, triphasic waves, theta and delta activity, and coma patterns. Certain medications are also more likely to produce beta activity in children versus adults or with acute versus chronic use. Very high doses of some medications can cause spikes or polyspikes. Diffuse delta and excess theta may indicate neurotoxicity associated with certain anti-
The document discusses normal EEG patterns in various age groups from neonatal to adulthood. In neonates, the EEG pattern depends on gestational age and includes discontinuity in premature infants. In infancy and early childhood, the posterior dominant rhythm increases in frequency and reactivity emerges. By adolescence, the EEG begins to resemble the adult pattern with less delta activity. The normal adult EEG shows an alpha rhythm over the occipital lobe that attenuates with eye opening. Theta is only present in sleep while delta is never seen in awake adults.
Lambda waves are sharp transients that occur over the occipital region during visual exploration, mainly positive relative to other areas and time locked to saccadic eye movements. They have a biphasic or triphasic shape and vary in amplitude up to 50 μV. Lambda waves are most common in children aged 3-12 and are precipitated by voluntary eye movements.
This document discusses different types of artifacts that can appear on an EEG, including how to identify and eliminate them. It separates artifacts into physiological artifacts originating from the patient's body (e.g. eye movements, muscle activity), and extraphysiological artifacts from external sources (e.g. electrodes, equipment, environment). Specific artifact types like blinks, lateral eye movements, muscle activity are described. Guidelines provided on how to reduce artifacts include closing the eyes, relaxing muscles, ensuring good electrode contact, and shielding from environmental interference.
The document discusses the function and history of EEG and describes different brain wave patterns. It summarizes:
1) EEG measures brain waves through electrodes placed on the scalp, detecting voltage fluctuations from neuron action potentials. It uses silver electrodes to obtain accurate readings through the skull and other tissues.
2) There are different brain wave patterns associated with different brain states and sleep stages, including alpha waves during relaxation, beta waves during activity, theta waves during drowsiness, and delta waves during deep sleep.
3) The history of EEG began in 1875 with experiments localizing brain functions, and the first human EEG was recorded in 1924, leading to discoveries of additional wave types and correlations with brain states.
EEG artefacts arise from unwanted electrical activity from sources other than the brain, such as eye movements, muscle activity, and environmental noise. Identifying artefacts can be challenging as some resemble brain activity. Methods for removing artefacts include filtering, regression-based approaches, and independent component analysis, which transforms scalp channel data into spatially independent sources that may represent brain or non-brain activity. Careful inspection of component properties like scalp maps, time courses, and spectra is needed to classify them as representing brain activity or artefacts.
Calibration of an EEG machine involves checking various parameters to ensure accurate measurements. It is important as it allows correct interpretation of recordings and comparison to previous studies. Parameters checked include paper speed, pen alignment, centering and damping, time constant, high frequency filter, sensitivity, amplitude linearity, gain, noise level and more. Verifying these helps identify any issues needing adjustment and confirms the machine is functioning properly.
The document summarizes key aspects of local anesthetics including:
1. It discusses the history and development of various local anesthetic compounds.
2. It describes the anatomy and physiology of nerve conduction and how local anesthetics work by blocking sodium channels.
3. It compares the mechanisms of action, pharmacokinetics, and differences between amide and ester local anesthetics.
This document discusses the importance and implementation of continuous EEG monitoring in intensive care units. It notes that EEG can detect brain ischemia earlier than clinical signs, monitor for nonconvulsive seizures, and provide early prognostic information. Successful ICU/cEEG programs require collaboration between neurophysiologists, neurointensivists, ICU staff and others. Regular training of ICU staff is needed so they can recognize normal and abnormal waveforms and ensure monitoring is available 24/7. Teamwork and institutional support are essential for effective ICU/cEEG monitoring.
2008 terni, workshop interattivo, tecniche di impianto dei pacemaker in urgenzaCentro Diagnostico Nardi
The document provides guidance on temporary pacemaker implantation in emergency situations. It discusses the principles and indications for temporary pacing in various bradyarrhythmias and conduction blocks. Specific recommendations are given for temporary pacing in sinus bradycardia, atrioventricular blocks, and intraventricular blocks due to various causes. Complications of temporary pacing like failure to capture, oversensing, and undersensing are also reviewed. The document emphasizes the importance of confirming electrical and mechanical capture when using a temporary pacemaker.
Yes, there is evidence of right ventricular hypertrophy (RVH) based on the following criteria seen in this ECG:
- Tall R wave in V1 with R>>S
- Deep S waves in leads V4, V5, V6
- Associated right axis deviation
- Deep T wave inversions in V1, V2, V3
The findings are consistent with RVH. Causes of RVH include pulmonary hypertension, congenital heart disease, pulmonary embolism etc.
55
56
Is there any hypertrophy ?
56
Criteria and Causes of LVH
Criteria of LVH
Tall R waves in L1
The document provides information on bio-potentials, biopotential electrodes, biological amplifiers, and various types of medical signals including ECG, EEG, EMG, and PCG. It discusses the origin of bio-potentials, ion distribution across cell membranes, and the resting membrane potential. It also describes lead systems and methods for recording different medical signals and their typical waveforms. Finally, it covers topics related to electrophysiology including the Goldman equation for calculating membrane potential and the use of differential and instrumentation amplifiers in biopotential recording.
This document discusses electrolytes and their role and regulation in the body. The main electrolytes discussed are sodium, potassium, calcium, magnesium, and chloride. Sodium and chloride are the major electrolytes in extracellular fluid and help regulate osmotic balance and membrane potentials. Potassium is the major intracellular cation and plays a key role in resting membrane potential and action potentials. Calcium and magnesium are also discussed along with their regulation by hormones like parathyroid hormone and functions. Disturbances in electrolyte levels can affect cardiac function, action potentials, and conduction.
This document provides an overview of electrocardiography (ECG) basics including:
1. It describes what an ECG is and what conditions it can be useful for diagnosing.
2. It outlines the different ECG leads including the standard and precordial leads used to measure electrical activity from different angles.
3. It explains the typical ECG waveforms including the P, QRS, T, and U waves as well as intervals like the PR and QT, and how to interpret abnormalities.
4. It provides guidance on interpreting an ECG including assessing lead position, rhythm, rate, axis, and looking for signs of conditions like bundle branch blocks or chamber enlargement.
Evoked potentials are low amplitude electrical potentials recorded from the brain or peripheral nerves in response to sensory stimuli. They are used to evaluate the function of sensory and motor pathways. There are several types including sensory evoked potentials from visual, auditory and somatosensory stimulation as well as motor evoked potentials. Recording techniques involve signal averaging to detect the low amplitude signals. Evoked potentials provide objective measures for diagnosing various neurological disorders.
This document provides an overview of electrocardiography (ECG) including its history, basics, components, and interpretation. It discusses that ECG was invented in 1895 and measures the heart's electrical activity through electrodes placed on the skin. The ECG waveform includes the P wave, QRS complex, and T wave which represent atrial depolarization, ventricular depolarization, and ventricular repolarization, respectively. It also describes the normal ranges for components, abnormalities, cardiac axis determination, and standard 12-lead ECG. The document is a comprehensive review of electrocardiography fundamentals.
1. Selective coordination requires coordination between protective devices like circuit breakers from the utility source down to final subcircuits in order to isolate faults only to the protective device closest to the fault location.
2. Ground fault protection on feeders is required by NEC to provide an additional level of ground fault protection downstream from the service entrance with a minimum 6 cycle separation between service and feeder tripping bands to maintain selectivity.
3. While systems must be designed to withstand bolted faults, the majority of real-world faults will be arcing type faults which limit available fault current, making selective coordination more challenging but still achievable with proper protective device selection and settings.
The document describes the NE/SA/SE555/SE555C timer integrated circuit. It provides specifications and characteristics for the timer including:
- It can produce accurate time delays or oscillations controlled by external resistors and capacitors.
- It has a turn-off time of less than 2μs, can operate at frequencies over 500kHz, and can time events from microseconds to hours.
- It has a high output current capability and adjustable duty cycle.
- Typical applications include precision timing, pulse generation, time delay generation, and pulse width modulation.
This document provides details on the operation and analysis of a series resonant inverter. It describes how the series resonant inverter uses resonant pulses of current to self-commutate the thyristors. It also analyzes a specific example series resonant inverter circuit, calculating key parameters like resonant frequency, maximum output frequency, capacitor voltage, load current, power, and supply current. Graphs are provided showing the load current, capacitor voltage, and supply current waveforms.
The document discusses the basics of electrocardiography (EKG/ECG). It defines what an EKG is and explains that it represents the electrical activity of the heart over time. The EKG is an important diagnostic tool that can be used to detect arrhythmias, ischemia, infarction, and other cardiac conditions. It describes how EKG leads are positioned and the standard features that are analyzed on an EKG such as the P, QRS, and T waves. It provides the 10 rules for determining a normal EKG tracing and explains how to calculate heart rate from an EKG.
The document discusses LED driver ICs for MR16 lamps, including the NCL30160 and NCL30161. It provides a decision tree to select the appropriate LED driver based on input voltage, output current and other factors. The NCL30160 and NCL30161 are then described in more detail, highlighting their constant current driving ability, integrated MOSFET, dimming functionality and other features. Application examples and performance data are also provided.
This document discusses electroretinography (ERG), a technique for evaluating retinal function by recording electrical responses from the retina to light stimulation. It provides details on:
- The history and components of the ERG
- Procedure for performing ERG including electrode placement and light stimulation methods
- The different ERG waveforms and what parts of the retina they represent
- Clinical applications of ERG for evaluating various retinal diseases and conditions like retinitis pigmentosa, retinal toxicity, and more
- Limitations and sources of artifacts in ERG testing
Physiologic Assessment of Young Infants: Puzzles & Challenges in EHDI Practice Phonak
This document discusses challenges in assessing young infants through physiologic testing. It touches on several topics:
1) Determining the type and degree of hearing loss is difficult, as testing needs to move beyond just gross thresholds to finer analyses of cochlear places, synaptic function, and brainstem and cortical pathways.
2) Auditory neuropathy spectrum disorder (ANSD) presents a moving target, as it can have varying severity and multiple concurrent sites of dysfunction.
3) Click-evoked otoacoustic emissions and the auditory brainstem response often provide incompatible results in cases of suspected ANSD, making diagnosis challenging.
4) Late cortical potentials such as the P2-N2 complex provide
The document provides an overview of pacemaker components, physiology, and programming. It discusses the basic hardware components of pacemakers including the pulse generator, leads, and electrodes. It then covers pacing and sensing principles such as capture, impedance, and sensing thresholds. The remainder summarizes various pacing modes and algorithms for managing arrhythmias, rate response, and minimizing ventricular pacing.
MRI sequences utilize the magnetic spin property of hydrogen protons. T1-weighted images highlight tissues like fat and subacute hemorrhage that appear bright, while T2-weighted images show edema, tumors, and chronic hemorrhage as bright. FLAIR (fluid-attenuated inversion recovery) sequences suppress the signal from cerebrospinal fluid to better detect lesions near CSF-containing spaces. STIR (short tau inversion recovery) sequences null the signal from fat. Different sequences provide contrast between tissues based on their T1 and T2 relaxation times.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
14. EYE CLOSED FOR > 30 SECONDS
SLEEP
REGULARIRREGULAR
CHIN EMG LOW HIGH
INDETERMINATE: NEITHER OF THEM
LIMB MOVEMENTS YES
YESNOAWAKE
YES
NO
RESPIRATORY RATE
RAPID EYE MOVEMENTS
NO
QUIETACTIVE
15. CONCEPTIONAL AGE THAT PARAMETERS
BECOME A RELIABLE MEASURE OF STATES
(PARMELEE 72)
ACTIVE 3/4 QUIET 3/4
REGULARIRREGULAR
CHIN EMG LOW HIGH
LIMB MOVEMENTS YES
YES
NO
NO
RESPIRATORY RATE
RAPID EYE MOVEMENTS
CA WEEKS
28
32
40
31
37. REACTIVITY (SOME CHANGE IN THE
ONGOING EEG BACKGROUND) TO
PAIN, PHOTIC, NOISE
FLATTENING
INCREASED
AMPLITUDE
38. NO REACTIVITY IN A TRACING
CA WEEKS
28 29 30 31 32 33 34 35 3627 37
FLATTENING OR INCREASED AMPLITUDE
NORMAL ABNORMAL
?
39. BACKGROUND
L OW VOLTAGE IRREGULAR
MIXED VOLTAGE
TRACÉ DISCONTINU
ACTIVITE MOYENNE
TRACÉ ALTERNANT
HIGH VOLTAGE S LOW
40. TRACÉ DISCONTINU
Physiologic discontinuous pattern
bursts of high voltage (50-300 µV pp)
activity that are regularly interrupted by
low voltage interburst periods (< 25 µV
pp)
Predominates <28 Weeks
First in waking then in active sleep
Periods of discontinuity is per GA
48. SHORTEST DURATION OF THE BURST IN
NEUROLOGICALLY NORMAL CONTROL NEONATES
Normal burst in
trace alternant
are > 5 sec
37 38 39 40 41 42 43 44
2
4
6
8
10
12
sec
CA WEEKS
LONG IS GOOD;
SHORT IS BAD!
50. 29 31 33 35 37 39 41 43 45
CONCEPTIONAL AGE
W
SLEEP TIME
LVI & AM
50
27
25
75
%
ACTIVE
QUIET
INDETERMINATE
51. 29 31 33 35 37 39 41 43 45
CONCEPTIONAL AGE
W
SLEEP TIME
HVS &
TA
50
27
25
75
%
ACTIVE
QUIET
INDETERMINATE
52. AVERAGE DURATION OF TA & HVS PERIODS IN
NEUROLOGICALLY NORMAL CONTROL NEONATES
DURING QUIET SLEEP
0
5
10
15
20
25
30
32 33 34 35 36 37 38 39 40 41 42 43 44 45
M
I
N
U
T
E
S
CA WEEKS
53. 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
EEG BACKGROUND
WEEKS (CA)
TD
TD
M
TD
M
TA
AM
LVI
HVS
TD – Trace Discontinu
M – Mixed Voltage
AM – Activite Moyenne
LVI – Low Voltage Irregular
HVS – High Voltage Slow
TA – Trace Alternant-
54. CZC3 C4
O1 O2
M1 M2
T3 T4
Fp2Fp1
FRONTAL SHARP TRANSIENTS
FULL TERM (ENCOCHES)
VERY PREMATURE (HIGH AMPLITUDE)
PREMATURE (LOW AMPLITUDE)
ANTERIOR DELTA RUN (SLOW DYSRHYTHMIA)
97. O – t & D
24-26
Rolandic
dips
Rolandic
dips
sharps
FST (High amp.)
98. O – t & D
24-26
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
sharps
FST (High amp.)
99. O – t & D
24-26
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
(t)T
sawtooth
(t)T
sawtooth
sharps
FST (High amp.)
100. O – t & D
24-26
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
(t)T
sawtooth
(t)T
sawtooth
sharps
FST (High amp.)
101. O – t & D
27-28
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
(t)T
sawtooth
(t)T
sawtooth
sharps
FST (High amp.)
102. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
(t)T
sawtooth
(t)T
sawtooth
sharps
103. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
sharps
104. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
105. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
106. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
107. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
Occipital D
108. O – t & D
27-28
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
Occipital D
109. O – t & D
29-30
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
Occipital D
110. O – t & D
29-30
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
T -
sharp
T -
sharp
sharps
Occipital D
111. O – t & D
29-30
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
T -
sharp
T -
sharp
112. O – t & D
29-30
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
T -
sharp
T -
sharp
(a) (a)
113. O – t & D
29-30
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
(a) (a)
114. O – t & D
29-30
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
(a) (a)
115. O – t & D
31-33
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
(a) (a)
116. O – t & D
31-33
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
(a) (a)
117. O – t & D
31-33
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
(a) (a)
DB
T -
sharp
T -
sharp
118. O – t & D
31-33
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
(a) (a)
DB
T -
sharp
T -
sharp
119. O – t & D
34-35
FST (High amp.)
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
(a) (a)
DB
T -
sharp
T -
sharp
120. O – t & D
34-35
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(t)T
sawtooth
(t)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
(a) (a)
DB
T -
sharp
T -
sharp
121. O – t & D
34-35
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
(a) (a)
DB
T -
sharp
T -
sharp
122. O – t & D
34-35
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(a)T
sawtooth
(a)T
sawtooth
Rhythmic
3 Hz act.
Rhythmic
3 Hz act.
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
123. O – t & D
34-35
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(a)T
sawtooth
(a)T
sawtooth
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
124. O – t & D
34-35
Rolandic
dips
Rolandic
dips
Small
T +
Small
T +
Rolandic
sharps
Rolandic
sharps
DB
(a)T
sawtooth
(a)T
sawtooth
FST (Low amp.)
sharps
Occipital D
DB
T -
sharp
T -
sharp
149. How many weeks can EEG
age be behind
chronological age and still
be considered normal?
150. < 2
weeks!
An EEG age more
than 2 weeks
behind
chronological age
is abnormal!
151. Sustain arousal Not as high
Sleep stages More variability
Duration of QS Longer
Duration of AS Longer
Burst in TA Longer
GA 40 GA 28
CA: 41 weeks
152. Eye movements Less
Clonic chin
movements
PresentAbsent
Heart rate Faster
Respiratory rate Higher
GA 40 + LA 1 GA 28 + LA 23
CA: 41 weeks
153. MOST INTERICTAL SPIKES IN NEONATES ARE SURFACE NEGATIVE
BUT SO ARE THE NORMAL NON-ICTAL SHARP WAVES. BUT
WHEN SHARP WAVES HAVE POSITIVE FILED THE LIKELIHOOD
THEY ARE INTERICTAL EPILEPTIFORM IS HIGHER
CHARACTERISTIC OF INTERICTAL EPILEPTIFORM WAVEFORMS
154. What are the pattern
alledgedly linked to
specific diseases?