Publications using hctsa

Reduced the hctsa feature library down to a reduced set of 22 efficiently coded features: catch22.

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Developed a software package for highly-comparative time-series analysis, hctsa (includes applications to high throughput phenotyping of C. Elegans and Drosophila movement time series).

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Introduced the feature-based time-series analysis methodology.

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Showed that the behaviour of thousands of time-series methods on thousands of different time series can be used to organise the interdisciplinary time-series analysis literature.

Find dynamical signatures of psychiatric disorders from resting-state fMRI data.

📗 PLoS Comp. Biol. (2024).

Predict individual response to rTMS depression treatment from EEG data.

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Distinguish meditators from non-meditators from 30s of resting-state EEG data.

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Identify neurophysiological signatures of cortical micro-architecture.

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Classify stars from NASA's Kepler Mission.

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Determine how striatal neuromodulation affects brain dynamics in thalamus and cortex.

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Uncover the dynamical structure of sleep EEG.

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Show how gradients of variation in time-series properties of BOLD dynamics vary with physiological variation and structural connectivity in the human neocortex.

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Distinguish targeted perturbations to mouse fMRI dynamics.

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Extract acoustic features from social vocal accommodation in adult marmoset monkeys.

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Track Drosophila in real time for high-throughput behavioural phenotyping.

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Discriminate zebra finch songs in different social contexts.

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Distinguish electromagnetic field exposure from zebrafish locomotion time series.

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Confirm the role of µORs in VTA and NAc in acute fentanyl-induced behaviour (positive reinforcement).

Assess stress-induced changes in astrocyte calcium dynamics.

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Assess the stress controllability of neurons from their activity time series.

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Understand changes in fMRI brain dynamics in patients with epilepsy.

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Detect EEG markers of seizure disorders.

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Capture a distinctive fingerprint of an individual's resting-state fMRI data.

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Identify methamphetamine users from EEG time series.

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Compute temporal profile similarity for individual fingerprinting from human fMRI data.

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Characterise subnetworks of the frontoparietal control network from fMRI recordings.

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Find time-series properties of motor-evoked potentials that predict multiple sclerosis progression after two years.

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Detect mild cognitive impairment using single-channel EEG to measure speech-evoked brain responses.

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Differentiate tremor disorders using massive feature extraction, outperforming the best traditional tremor statistic.

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Identify physiological features predictive of respiratory outcomes in extremely pre-term infants from bedside monitor data.

Discover signatures of fatal neonatal illness from vital signs.

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Detect falls in elderly people from accelerometer data.

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Prediction of post-cardiac arrest outcomes at discharge from physiological time series recorded on the first day of intensive care.

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Detect falls of elderly people using wearable sensors.

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Demonstrate that the suppression of essential tremor is due to a disruption of oscillations in the olivocerebellar loop.

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Classify heartbeats measured using single-lead ECG.

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Assess muscles for clinical rehabilitation.

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Screen for COVID-19 using digital holographic microscopy.

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Detect COVID-19 from red blood cells using digital holographic microscopy.

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Identify the biogeographic heterogeneity of mucus, lumen, and feces.

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Identify keyhole pores in a laser powder-bed fusion process using acoustic and inline pyrometry time series.

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Detect false data injection attacks into smart meters.

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Predict pending loss of power stability from generator response signals.

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Detect seeded bearing faults on a wind turbine subjected to non-stationary wind speed.

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Recognise hand gestures.

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Distinguish energy use behaviours from smart meter data.

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Non-intrusively monitor load for appliance detection and electrical power saving in buildings.

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Evaluate asphalt irregularity from smartphone sensors.

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Detecting earthquakes from seismic recordings.

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Find temporal patterns for reconstructing surface soil moisture time series.

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Predict earthquakes (in the following month) from seismic indicators in Bangladesh.

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Detect earthquakes in Groningen, The Netherlands.

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