catch22: CAnonical Time-series CHaracteristics
catch22 GitHub
  • Welcome to catch22
    • Citing catch22
    • Publications using catch22
  • LANGUAGE-SPECIFIC DOCS
    • Python
    • MATLAB
    • R
    • Julia
    • C-compiled
  • INFORMATION ABOUT CATCH22
    • Feature Descriptions
      • Feature Overview Table
      • Distribution shape
      • Extreme event timing
      • Linear autocorrelation structure
      • Nonlinear autocorrelation
      • Symbolic
      • Incremental differences
      • Simple forecasting
      • Self-affine scaling
      • Other
    • API Reference
      • Python API
      • Julia API
      • R API
      • MATLAB API
    • Contributing to catch22
      • Contributor Code of Conduct
    • Related Packages
    • License
Powered by GitBook
On this page
  • 🖥️ Algorithms
  • Applications
  • ⌚ Physiological and other sensors
  • 🧬 Biology, physiology, neuroscience, pathology, and ecology
  • 🏭 Industry, energy and chemistry
  • 🧠 Neuroimaging
  • 🔭 Meteorology and astronomy
  • 🏛️ Finance and databases
  • 🌍 General
  • Tutorials
  1. Welcome to catch22

Publications using catch22

A list of all scientific publications that have used catch22.

PreviousCiting catch22NextPython

Last updated 1 month ago

On this page, we keep track of scientific research publications that use catch22. Articles are labeled as follows:

  • 📗 = Journal publication.

  • 📙 = Preprint.

If you have used catch22 in your published work, please contact us by and we'll add it this growing list!


🖥️ Algorithms

catch22 features have formed the basis of new algorithms:

  • "COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification". Badi et al. (2024).

  • A toolbox for predictive analytics (feature extraction and selection) demonstrated on wind turbine bearing condition classification, hydraulic systems condition monitoring, CNC tool wear estimation, and respiratory health monitoring. .


Applications

catch22 features have been used in applications to:

⌚ Physiological and other sensors


🧬 Biology, physiology, neuroscience, pathology, and ecology


🏭 Industry, energy and chemistry

Others:


🧠 Neuroimaging


🔭 Meteorology and astronomy


🏛️ Finance and databases


🌍 General


Tutorials


To classify peptides from blockage current time series measured from a nanopore-based device.

As a baseline for classifying marmoset monkey calls from audio. 📙

To identify methamphetamine users from EEG recordings. 📗 .

Audio classification. .

Hard disk drive failure prediction.

Predicting different types of induction motor failure. Li et al., .

Analyzing appliance consumption by automatically detecting and classifying appliance activations in industrial kitchens. 📗

Sound Analysis of Drop Characteristics by Evaluation of Impact on Water Pool. Arogeti et al. (2024) �.

Classify Multiple Sclerosis from full-field visual evoked potentials. .

Investigate the neural correlates of dreaming. Wong et al. (2025).

Predict solar flares from solar active region magnetic field data. .

📗 Hoßbach et al., The Journal of Chemical Physics (2025).
Sarkar et al. arXiv (2024).
Meynaghizadeh-Zargar et al., Biogeosciences (2024)
📙 Marzano et al. (2025) arXiv
📗 Li et al. (2025) Engineering Applications of Artificial Intelligence.
📗
IEEE Annual Symposium on Reliability and Maintainability (2025)
Martins et al. Computers and Electrical Engineering (2025).
�IEEE 2024 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
Banijamali et al., 📗 Doc Ophthalmol (2024)
📗
PsyArXiv
📙 arXiv (2024)

email
📗 Zhou et al. Annual Symposium on Reliability and Maintainability (2025)
Cover
Cover

For developing semi-synthetic time series to understand algorithm performance.

Cover

A new method to reduce the complexity of feature-based explanations.

Cover

The canonical interval time-series classifier.

Cover
Cover

Classify hyperkinetic, tonic, and tonic-clonic seizures using unsupervised clustering of video signals.

Cover
Cover

Classify human exercises using wearable sensors and video data.

Cover

Classify advertising engagement using affect and physiological signals of heart rate, electrodermal activity, pupil dilation, and skin temperature.

Cover

Determine the type of breathing using wireless sensors with a motion capture system.

Cover

Automate general movements assessment for Cerebral Palsy from smartphone videos.

Cover

Detect stress levels in real time from multiple physiological signals (heart rate, blood pressure, electrodermal activity, and respiration).

Cover

Comparison to ShapAAL method for sensor time-series classification.

Cover

Extract markers of cardiometabolic disease risk from wearable device recordings.

Cover
Cover

Estimate objective pain intensity using physiological sensors, paving the way for developing a wearable pain measurement device.

Cover

Predict pathological complete response in breast cancer from dynamic contrast-enhanced magnetic resonance images. 📗 Zhang et al. Breast Cancer Research (2024).

Cover

Predict species and age of malarial mosquitoes using mid-infrared spectroscopy.

Cover
Cover

Detect early signals of disease outbreaks from incidence data.

Cover

Predict the incidence trends of infectious diseases.

Cover

Distinguish chemical stimuli from C. elegans chemosensory system recordings.

Cover

Predict when an individual patient can switch from IV to oral antibiotic treatment from routinely collected clinical parameters from over 10,000 ICU stays.

Cover

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

Cover

Predict of cardiomyocytes differentiation outcome from oxygen consumption rate time series from human-induced pluripotent stem cells.

Cover

Detect dynamic electrical signatures of human breast cancer cells from voltage imaging.

Cover

Screen for COVID-19 using holographic microscopy reconstructed red blood cells.

Cover

Evaluate similarity of synthetically generated peripheral nerve signals.

Cover

Understand influences on the dynamics of tree motion.

Cover
Cover

Detect edge flag faults in wind turbines.

Cover

Compare the influence of imputation strategies for classifying household devices from electricity usage.

Cover

Detect chemical analytes from chemiresistive hardware sensor arrays.

Cover

Detect fraud from smart meters.

Cover

Appliance detection from very low-frequency smart meter time series.

Cover

Track on-board diagnostics for monitoring engine operations.

Cover

Detect anomalies in cloud services, where using catch22 resulted in the highest performance.

Cover

Predict anode effects in aluminium production at least 1 min of advance from TRIMET Aluminium SE Essen (TAE) time-series data.

Cover

EEG classification using AutoML.

Cover

Infer rules underlying experience of subjective liking of artwork stimuli from EEG.

Cover

Generate long-term air temperature forecasts as part of explainable AI models.

Cover

Detect earthquakes.

Cover

Classify exoplanets from light curves.

Cover

Distinguish texts generated by AI (LLMs) from text authored by humans. 📙Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024).

Cover

As part of a meta-learning strategy for predicting market price movement.

Cover

Representations for time series in database management systems, such as Apache IoTDB, InfluxDB, OpenTSDB.

Cover

Analyze US market price data.

Cover

Capture meaningful properties of financial time series (performance is lower than using domain features).

Cover
Cover

To improve the efficiency and accuracy of time-series forecasting on target datasets using transfer learning.

Cover

Compare and cluster long time series.

Cover

To understand dataset differences in evaluating foundation models for probabilistic time-series forecasting.

Cover

Predict performance of time-series forecasting algorithms.

Cover

Track optimization trajectories for combinatorial optimization problems.

Cover

Extend shapelets for time-series classification.

Cover

Perform meta-learning for time-series forecasting.

Cover

Combine the Matrix Profile with catch22 features, as C22MP, yielding a state-of-the-art anomaly detector.

📙 .

📗 .

📗

Distinguish pain responses to hot and cold stimuli from electrodermal Activity and electromyography.

.

Estimate pain intensity from physiological sensors..

.

.

.

.

.

.

Predict behavioural change from physiological signals. .

.

Classify calf behavior from accelerometer signals. 📙 .

📙.

📗 .

.

.

.

.

.

.

.

.

Classify vehicle trajectories from unmanned aerial vehicle-derived trajectories. 📗

📗 .

📗

📙

📗

📗

📗

📗

📙

📗

📗

📙

📙

📙 .

📙

📙

📙

Evaluate time-series imputation methods. 📗

📙 .

📗

.

.

.

.

Using catch22 features in .

📙 Ozek et al., Research Square (2024).
Teo et al. ISPRS Int. J. Geo-Inf. (2024).
Proc. VLDB Endowment (2024).
📗 Knowl Inf Sys (2024).
arXiv (2023)
Information Fusion (2023)
IEEE International Conference on Big Data (2020).
📗 Frontiers in Neurology (2023)
📙 arXiv (2023)
📗 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2023)
📗 Sensors (2023)
📗 Algorithms (2023)
📙 medRxiv (2023)
📗 IEEE Access (2023).
📗 PLoS ONE (2022)
📗 Journal of Medical Internet Research (2022)
📗 Sensors (2022)
📗 PLoS ONE (2021)
📗 Data Science Journal (2024).
arXiv (2024)
arXiv (2024)
BMC Bioinformatics (2024)
📙 bioRxiv (2024)
📗 Nature Comms. (2024)
📗 eLife (2023)
📗 Biotechnology and Bioengineering (2023)
📗 Comms. Bio. (2022)
📗 Biomedical Optics Express (2022)
📗 10th International IEEE/EMBS Conference on Neural Engineering (NER) (2021)
📗 Biogeosciences (2021)
Wind Energy Sci. Discuss. (2023)
2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS).
arXiv (2023).
Journal of Internet Services and Applications (2023).
📙
ResearchGate (2023).
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS (2022).
IoT (2022).
Applied Sciences (2021).
Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) (2023).
PLoS ONE (2023).
Atmospheric Research (2023).
arXiv (2022).
Student dissertation (2019).
Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) (2023)
The VLDB Journal (2024).
arXiv (2023).
Working Papers REM (2021).
arXiv (2024)
IEEE International Conference on Knowledge Graph (ICKG) (2022).
📙 arXiv (2023)
📗 Expert Systems with Applications (2023).
📙 arXiv (2022)
📗 Applied Sciences (2022)
📗 IEEE Access (2021)
sktime
Page cover image