Paper Citation Record · LEDGER

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.11065.

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pith.paper-citation-record.v1
2607.11065 v1

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measured 40 of 40 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T07:18:22.701907Z

measured 40 of 40 standing notices

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40 of 40 outbound references displayed

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Outbound references

Observation f2efbbe7-d520-4c43-886f-7308a6600575 · outbound

This paper cites Muscle fatigue: gen- eral understanding and treatment,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Muscle fatigue: gen- eral understanding and treatment,

Reference 1

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Observation 77814fbb-0a6b-4c0b-9432-4914ff64c822 · outbound

This paper cites Sports fatigue detection based on deep learning,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Sports fatigue detection based on deep learning,

Reference 2

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Observation 99234e72-5da8-4582-be06-918e1a739df8 · outbound

This paper cites Automated and continuous fatigue monitoring in construction workers using forearm emg and imu wearable sensors and recurrent neural network,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Automated and continuous fatigue monitoring in construction workers using forearm emg and imu wearable sensors and recurrent neural network,

Reference 3

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Observation 21443b1a-ef74-41f3-a048-f5c3e23ab04a · outbound

This paper cites A review of non-invasive techniques to detect and predict localised muscle fatigue,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection A review of non-invasive techniques to detect and predict localised muscle fatigue,

Reference 4

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Observation 5f492fbc-988c-40d4-9264-26c45ab26b0a · outbound

This paper cites Real-time forecasting of semg features for trunk muscle fatigue using machine learning,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Real-time forecasting of semg features for trunk muscle fatigue using machine learning,

Reference 5

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Observation 6d8912fd-ed66-4c3d-9a5c-0b4f15e8d36c · outbound

This paper cites Wearable sensors for monitoring the internal and external workload of the athlete,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Wearable sensors for monitoring the internal and external workload of the athlete,

Reference 6

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Observation e394cbc2-d684-4eb4-8a1a-260a21cb0a91 · outbound

This paper cites A real-time, practical sensor fault-tolerant module for robust emg pattern recognition,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection A real-time, practical sensor fault-tolerant module for robust emg pattern recognition,

Reference 7

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Observation be170d48-df2e-48ad-8dd4-6020ebd98f7c · outbound

This paper cites Surface elec- tromyography spectral parameters for the study of muscle fatigue in swimming,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Surface elec- tromyography spectral parameters for the study of muscle fatigue in swimming,

Reference 8

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Observation 124095cb-b07a-42d0-969d-0e582e1e9713 · outbound

This paper cites Physical fatigue detection through emg wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Physical fatigue detection through emg wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation,

Reference 9

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Observation 95b6694a-5591-4c21-ad86-fdfbf7460811 · outbound

This paper cites Psychophysiological data-driven multi-feature information fusion and recognition of miner fatigue in high-altitude and cold areas,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Psychophysiological data-driven multi-feature information fusion and recognition of miner fatigue in high-altitude and cold areas,

Reference 10

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Observation 0e410ca6-ccab-4afc-b9c0-ae0062bcb2d0 · outbound

This paper cites A muscle fatigue classification model based on lstm and improved wavelet packet threshold,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection A muscle fatigue classification model based on lstm and improved wavelet packet threshold,

Reference 11

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Observation aca2c63d-8d4a-4cad-a9db-026386fb4f4c · outbound

This paper cites Mffnet: Multi-dimensional feature fusion network based on attention mechanism for semg analysis to detect muscle fatigue,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Mffnet: Multi-dimensional feature fusion network based on attention mechanism for semg analysis to detect muscle fatigue,

Reference 12

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Observation 5f1cd078-e701-4900-9830-92ac6b2cfefb · outbound

This paper cites Design of analog and digital filter of electromyography,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Design of analog and digital filter of electromyography,

Reference 13

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Observation 1775b07e-2700-4efe-9d23-f21811c9c4cb · outbound

This paper cites Estimation of mean and median frequency from synthetic semg signals: Effects of different spectral shapes and noise on estimation methods,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Estimation of mean and median frequency from synthetic semg signals: Effects of different spectral shapes and noise on estimation methods,

Reference 14

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Observation a06cee79-c22b-44e7-8c3a-8adc757a3478 · outbound

This paper cites Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks,

Reference 15

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Observation 49472109-3e1e-48b4-b89f-fc7000d88a12 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Training spiking neural networks using lessons from deep learning,

Reference 16

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Observation 662eab59-9933-4d97-b1c4-277bd228b70b · outbound

This paper cites Onespike: Ultra-low latency spiking neural networks,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Onespike: Ultra-low latency spiking neural networks,

Reference 17

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Observation e3df2c53-6419-40c5-a631-cbbc4d3e4cb9 · outbound

This paper cites Eescn: A novel spiking neural network method for eeg-based emotion recog- nition,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Eescn: A novel spiking neural network method for eeg-based emotion recog- nition,

Reference 18

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Observation 6569ee7f-dcec-416f-b117-4499ef794127 · outbound

This paper cites An ultra- low power time-domain based snn processor for ecg classification,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection An ultra- low power time-domain based snn processor for ecg classification,

Reference 19

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Observation 133a6870-b859-4904-9b6c-09ac500b1f69 · outbound

This paper cites An energy-efficient and robust snn classifier for lc-adc sampled ecg signals,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection An energy-efficient and robust snn classifier for lc-adc sampled ecg signals,

Reference 20

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Observation 728ad8fe-a1f5-40d6-9cef-3fe41877762c · outbound

This paper cites Hr-snn: An end-to-end spiking neural network for four-class classification motor imagery brain-computer interface,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Hr-snn: An end-to-end spiking neural network for four-class classification motor imagery brain-computer interface,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T07:18:22.701907Z

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Observation 43712287-3a40-4c2b-93cc-be5bbd37e182 · outbound

This paper cites A novel event-driven spiking convolutional neural network for electromyography pattern recognition,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection A novel event-driven spiking convolutional neural network for electromyography pattern recognition,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T07:18:22.701907Z

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Observation 269aa669-044c-4f5a-b84d-1e7d06fdc93c · outbound

This paper cites SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network

Reference 23

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Observation 69eea465-0fe4-4c49-bb4f-013a02d0579d · outbound

This paper cites Cq+ training: Minimizing accuracy loss in conversion from convolutional neural networks to spiking neural networks,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Cq+ training: Minimizing accuracy loss in conversion from convolutional neural networks to spiking neural networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T07:18:22.701907Z

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Observation 77f38dcb-2eca-4b39-ade4-37c38990384b · outbound

This paper cites Improving model robustness against noise with safe haven activations,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Improving model robustness against noise with safe haven activations,

Reference 25

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Observation edb4a756-2229-46f6-992d-2bab7fb3cc7b · outbound

This paper cites Defensive Quantization: When Efficiency Meets Robustness.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Defensive Quantization: When Efficiency Meets Robustness

Reference 26

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Observation f00fb9f8-e3de-44da-a85d-f05bdf3dd843 · outbound

This paper cites Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 27

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Observation ebf3b9ee-fd5a-4c85-90d5-3057d7e24b5f · outbound

This paper cites Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks

Reference 28

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Observation bf5e153e-7207-4aba-a337-0b5e98941e6f · outbound

This paper cites Reducing noise, artifacts and interference in single-channel emg signals: A review,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Reducing noise, artifacts and interference in single-channel emg signals: A review,

Reference 29

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Observation 1b111be6-5295-46b8-8993-2ab2d61821e9 · outbound

This paper cites Application of an emg interference filtering method to dynamic ecgs based on an adaptive wavelet-wiener filter and adaptive moving average filter,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Application of an emg interference filtering method to dynamic ecgs based on an adaptive wavelet-wiener filter and adaptive moving average filter,

Reference 30

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Observation 3de02d48-3819-4232-97fd-4e6b78ef2cb5 · outbound

This paper cites Assessment of self-report, palpation, and surface electromyography dataset during isometric muscle contraction,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Assessment of self-report, palpation, and surface electromyography dataset during isometric muscle contraction,

Reference 31

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Observation dcfdccdb-0c60-44dc-8180-3efe4c9a9674 · outbound

This paper cites Pressure-controlled palpation: a new technique which increases the reliability of manual palpation,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Pressure-controlled palpation: a new technique which increases the reliability of manual palpation,

Reference 32

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Observation 397628d7-25bf-4969-9830-29aad61a02d8 · outbound

This paper cites Application of surface electromyography in exercise fatigue: a review,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Application of surface electromyography in exercise fatigue: a review,

Reference 33

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Observation 36f3d4bb-4c67-496a-9be6-47c2d3edad8f · outbound

This paper cites Advances and disturbances in semg-based intentions and movements recognition: A review,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Advances and disturbances in semg-based intentions and movements recognition: A review,

Reference 34

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Observation 407b4797-6ede-456b-97f5-8101321fba12 · outbound

This paper cites A laguerre–volterra network model based on ant colony optimization applied to evaluate emg-force relationship in the muscle fatigue state,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection A laguerre–volterra network model based on ant colony optimization applied to evaluate emg-force relationship in the muscle fatigue state,

Reference 35

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Observation cd7249af-2972-4e69-ac72-2728c0c15b40 · outbound

This paper cites Machine learning and regression analysis for diagnosis of bruxism by using emg signals of jaw muscles,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Machine learning and regression analysis for diagnosis of bruxism by using emg signals of jaw muscles,

Reference 36

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Observation 414fb304-7754-48b2-b3ef-9325d2f6c4c8 · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it),.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection 1.1 computing’s energy problem (and what we can do about it),

Reference 37

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Observation 8f10feca-fb5a-4ebf-a52e-6523989219d8 · outbound

This paper cites Weardrive: Fast and energy-efficient storage for wearables,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Weardrive: Fast and energy-efficient storage for wearables,

Reference 38

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Observation c1a57134-9654-47ff-9528-6e30eb5eb75b · outbound

This paper cites A neuromorphic processing system with spike-driven snn processor for wearable ecg classification,.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection A neuromorphic processing system with spike-driven snn processor for wearable ecg classification,

Reference 39

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Observation 4020c6dd-e626-439b-9fb9-05e358ce3e4a · outbound

This paper cites Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives

Reference 40

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