Explore tens of thousands of sets crafted by our community.
Biosignal Analysis
29
Flashcards
0/29
Electrooculography (EOG)
EOG records eye movements by detecting cornea-retinal potential. It's utilized in diagnosing and monitoring eye movement disorders and in sleep studies.
Galvanic Skin Response (GSR)
GSR measures changes in skin conductance due to sweating, indicating psychological or physiological arousal. Used in stress research and lie detection.
Electroencephalography (EEG)
EEG measures the electrical activity of the brain. Signals are analyzed for rhythm, frequency, and amplitude to diagnose conditions like epilepsy or sleep disorders.
Electromyography (EMG)
EMG measures the electrical activity produced by skeletal muscles. Signal patterns reveal neuromuscular abnormalities or nerve dysfunction.
Electrocardiography (ECG or EKG)
ECG records the electrical activity of the heart. PQRST waves are interpreted to assess heart health and diagnose arrhythmias.
Magnitude-Squared Coherence (MSC)
MSC is a function that estimates the power spectrum correlation between two signals at different frequencies, reflecting their linear dependency.
Magnetoencephalography (MEG)
MEG records magnetic fields produced by neural activity. It has high temporal resolution and is used to map brain function and study cognitive processes.
Signal Averaging
Signal averaging is used to improve the signal-to-noise ratio by averaging multiple instances of the desired signal, commonly used in ERP studies.
Spectral Analysis
Spectral analysis involves decomposing a signal into its constituent frequencies using Fourier transform, examining power spectrum to identify rhythms and other features.
Heart Rate Variability (HRV)
HRV refers to the variation in time intervals between heartbeats. It is used to assess autonomic nervous system activity and cardiovascular health.
Cross-Correlation Analysis
Cross-correlation analysis measures the similarity between two signals as a function of the displacement of one relative to the other, used to find time lags or synchrony.
Pulse Oximetry
Pulse Oximetry measures the oxygenation of blood by analyzing the absorption of light through tissue, providing a non-invasive method of assessing respiratory function.
Photoplethysmogram (PPG)
PPG detects blood volume changes in microvascular tissue using a light source and detector. Primarily used to measure heart rate and blood oxygen saturation.
Frequency-Domain Analysis
Frequency-domain analysis evaluates signals based on frequency components, aiding in identifying periodic patterns and characterizing the power of different frequency bands.
Time-Frequency Analysis
Time-Frequency Analysis allows simultaneous analysis of both time and frequency domain properties of a signal, often using methods such as wavelet transforms.
Bioimpedance Analysis (BIA)
BIA measures the resistance and reactance of body tissues to an applied current, which is used to estimate body composition such as fat, muscle, and water content.
Autocorrelation Analysis
Autocorrelation analysis determines the correlation of a signal with a delayed version of itself over varying time lags, useful for identifying repeating patterns such as rhythms.
Coherence Analysis
Coherence analysis measures the degree to which two signals are correlated in the frequency domain, indicating how well signals share frequency content.
Principal Component Analysis (PCA)
PCA is a statistical technique that reduces data dimensionality by transforming to a set of orthogonal components, highlighting variance and structure in biosignal datasets.
Independent Component Analysis (ICA)
ICA separates a multivariate signal into additive, independent components. It is often used in EEG analysis to isolate artifactual or source signals.
Canonical Correlation Analysis (CCA)
CCA assesses the relationship between two sets of multivariate data, finding basis vectors that maximize correlation, relevant in EEG-fMRI analysis.
Nonlinear Dynamics and Chaos Theory
Nonlinear dynamics and chaos theory examine complex, unpredictable behavior in biosignals, identifying features such as Lyapunov exponents and fractal dimension.
Functional Near-Infrared Spectroscopy (fNIRS)
fNIRS measures brain activity by detecting changes in oxygenated and deoxygenated hemoglobin, providing insights into cognitive function.
Adaptive Filtering
Adaptive filtering involves algorithms that self-adjust their parameters to minimize a predefined error criterion, used for noise cancellation in biosignals.
Impedance Cardiography (ICG)
ICG measures the impedance changes in the chest with each heartbeat, indicating stroke volume and cardiac output, used for non-invasive cardiovascular monitoring.
Entropy Measures
Entropy measures assess the unpredictability or complexity of a signal, with metrics like Shannon or Approximate Entropy being used to evaluate EEG or heart rate variability.
Time-Domain Analysis
Time-domain analysis examines signals directly over time, utilizing measures like mean, variance, and time intervals between events to analyze biosignals.
Root Mean Square (RMS) Calculation
RMS calculation yields the square root of the average power contained in a signal, providing a magnitude measure that is particularly useful in EMG analysis.
Phase-Locked Loop (PLL)
PLL is a control system that generates a signal with a fixed relation to the phase of the input signal, used to synchronize signals and demodulate frequency-modulated signals.
© Hypatia.Tech. 2024 All rights reserved.