Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
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Summary
The results of extensive simulations showed this model not only provides accurate, cheap and fast patient-customized heartbeat classifier but also circumvents the problem of "imbalanced classes" when the readout weights are trained using weighted ridge-regression.
- Type
- preprint
- Published
- 2019-07-22
- Cited by
- 11
- References
- 38
- Access
- Open access
- OpenAlex
- https://openalex.org/W2964247350
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:198179868
Keywords
Computer science, Heartbeat, Reservoir computing, Wearable computer, Artificial intelligence
References
- Compact hardware for real-time speech recognition using a Liquid State Machine
- A Comparative Study of Several Robust Estimates of Slope, Intercept, and Scale in Linear Regression
- Event detection and localization for small mobile robots using reservoir computing
- Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification
- 2007 Special Issue: Optimization and applications of echo state networks with leaky- integrator neurons
- Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification.
- Correlation technique and least square support vector machine combine for frequency domain based ECG beat classification.
- Compact hardware liquid state machines on FPGA for real-time speech recognition
- Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
- The impact of the MIT-BIH Arrhythmia Database
- Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- Automatic classification of heartbeats using ECG morphology and heartbeat interval features
- Heartbeat classification using disease-specific feature selection
- Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
- A Patient-Adaptive Profiling Scheme for ECG Beat Classification
- A patient-adaptable ECG beat classifier using a mixture of experts approach
- ECG beat classification using neuro-fuzzy network
- A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features
- Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals
Cited by
- Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca2+ Fluorescence Microscopy
- Recent Advances in Reservoir Computing With A Focus on Electronic Reservoirs
- An Interpretable Model for ECG Data Based on Bayesian Neural Networks
- Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell [12pt]minimal amsmath wasysym amsfonts amssymb amsbsy mathrsfs upgreek
- Heterogeneous Reservoir Computing Models for Persian Speech Recognition
- A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
- Convolutional Reservoir Computing for Arrhythmia Classification
- Conventional and Heterogeneous Cascade Reservoir Computing for Arrhythmia Detection: A Comparative Study
- Study of Privacy in Federated Reservoir Computing
- ECG Heartbeat Classification Using Echo State Networks with Noisy Reservoirs and Variable Activation Function
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