Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal

A Pilot Study of EMG Pattern Based Classification of Arm Functional Movements

Geng, Y., Yu, L., You, M., & Li, G. (2010) · WRI Global Congress on Intelligent Systems · doi:10.1109/gcis.2010.125 · Cited by 6

Preliminary analysis of multi-channel recordings for the development of a high-level Cortical Neural Prosthesis

Micera, S., Carpaneto, J., Umiltà, M. A., Rochat, M. J., Escola, L., Gallese, V., Carrozza, M. C., Krueger, J., Rizzolatti, G., & Dario, P. (2005) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2005.1419572 · Cited by 6

A Muscular Activation Controlled Rehabilitation Robot System

Akdoğan, E., & Şişman, Z. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23851-2_28 · Cited by 6

EMG-Controlled Transradial Prostheses - An Investigation into Machine Learning Techniques

Abdur, M., Rasool, G., & Ahmad, N. (2017) · International Journal of Computer Applications · doi:10.5120/ijca2017915354 · Cited by 6

A NOVEL PROPORTIONAL AND SIMULTANEOUS CONTROL METHOD FOR PROSTHETIC HAND

Li, X., Huang, Q., Zhu, J., Sun, W., & She, H. (2017) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519417501202 · Cited by 6

Pattern Classification and Its Applications to Control of Biomechatronic Systems

Benítez, V. H. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-818247-5.00020-4 · Cited by 6

Single channel-based myoelectric control of hand movements with Empirical Mode Decomposition

Al-Timemy, A. H., Bugmann, G., Outram, N., & Escudero, J. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091497 · Cited by 6

Control of elastic joint robot based on electromyogram signal by pre-trained Multi-Layer Perceptron

Souzanchi-K, M., Owhadi-Kareshk, M., & Akbarzadeh-T, M.-R. (2016) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2016.7727891 · Cited by 6

Combining ENG and EEG integrated analysis for better sensitivity and specificity of neuroprosthesis operations

Rossini, L., & Rossini, P. M. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627402 · Cited by 6

A Practical and Feasible Control System for Bifunctional Myoelectric Hand Prostheses

Hamdi, N., Dweiri, Y. M., Al-Abdallat, Y., & Haneya, T. (2010) · Prosthetics and Orthotics International · doi:10.3109/03093641003674296 · Cited by 6

Finger movements classification from grasping spherical objects with surface electromyography using time domain based features

Torres, G. A., & Benítez, V. H. (2016) · doi:10.1109/mais.2016.7761904 · Cited by 6

Abstract myoelectric control with EMG drive estimated using linear, kurtosis and Bayesian filtering

Dyson, M., Barnes, J., & Nazarpour, K. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008290 · Cited by 6

General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics

Örteş, F., Karabulut, D., & Arslan, Y. Z. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-2255-3.ch043 · Cited by 6

Quantitative musculoskeletal monitoring and analysis in aquatic rehabilitation

Amin, A. B., Asabre, E., Razaghi, S., & Noh, Y. (2025) · Frontiers in Electronics · doi:10.3389/felec.2025.1566899 · Cited by 5

A hybrid intelligent system for recovery and performance evaluation after

Senanayake, S. M. N. A., Malik, O. A., Iskandar, P. M., & Zaheer, D. (2012) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2012.6416673 · Cited by 5

Preliminary study on upper limb movement identification based on sEMG signal

Guo, S., Zhang, S., Song, Z., Pang, M., & Nakatsuka, Y. (2012) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/iccme.2012.6275645 · Cited by 5

An implementation of movement classification for prosthesis control using custom-made EMG system

Mejić, L., Dosen, S. S., Ilić, V., Stanišić, D., & Jorgovanović, N. (2017) · Serbian Journal of Electrical Engineering · doi:10.2298/sjee1701013m · Cited by 5

Comparative Study of Segmentation and Feature Extraction Method on Finger Movement

Esa, N. M., Zain, A. M., Bahari, M., & Yusuf, S. M. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-99007-1_12 · Cited by 5

Grasp Planning Using Low Dimensional Subspaces

Allen, P. K., Ciocarlie, M., & Goldfeder, C. (2014) · Springer tracts in advanced robotics · doi:10.1007/978-3-319-03017-3_24 · Cited by 5

Continuous estimation of multi-DOF movement from sEMG based on non-negative matrix factorization and L2 regulation

Meng, M., Zhou, G., Ma, Y., & Xi, X. (2023) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-023-02807-0 · Cited by 5

Hetero- and Homogeneous Multiclassifier Systems Based on Competence Measure Applied to the Recognition of Hand Grasping Movements

Kurzynski, M. W., & Wołczowski, A. R. (2014) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-06596-0_15 · Cited by 5

Finger Movements Classification for the Dexterous Control of Upper Limb Prosthesis Using EMG Signals

Al-Timemy, A. H., Bugmann, G., Outram, N., Escudero, J., & Li, H. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-32527-4_47 · Cited by 5

Control of hand prosthesis using fusion of information from bio-signals and from prosthesis sensors

Wołczowski, A. R., & Kurzynski, M. W. (2014) · Asia-Pacific Conference on Computer Aided System Engineering (APCASE) · doi:10.1109/apcase.2014.6924465 · Cited by 5

Sparse control for high-DOF assistive robots

Jenkins, O. C. (2008) · Intelligent Service Robotics · doi:10.1007/s11370-007-0013-0 · Cited by 5

Single muscle site sEMG interface for assistive grasping

Weisz, J., Barszap, A. G., Joshi, S. S., & Allen, P. K. (2014) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2014.6942855 · Cited by 5

Anthropomorphic hand through bond graph with H-2 and H-∞ synthesis

Furqan, M., Saeed, M. T., & Mahmood, A. (2013) · IEEE International Multitopic Conference (INMIC) · doi:10.1109/inmic.2013.6731317 · Cited by 5

EMG-Based Noncontact Human-Computer Interface for Letter and Character Inputting

Zhao, P., Tan, S., & Zhang, D. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22876-1_9 · Cited by 5

Pattern Recognition of Continuous Elbow Joint Movements Using Bispectrum-based sEMG

Bu, D., Guo, S., Ma, H., Xu, H., & Wei, C. Y. (2018) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2018.8484507 · Cited by 5

Custom Force Sensor and Sensory Feedback System to Enable Grip Control of a Robotic Prosthetic Hand

Seedat, N., Mohamed, I., & Mohamed, A.-K. (2018) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2018.8487948 · Cited by 5

Control of Hand Prosthesis Using Fusion of Biosignals and Information from Prosthesis Sensors

Wołczowski, A. R., & Kurzynski, M. W. (2015) · Studies in computational intelligence · doi:10.1007/978-3-319-15720-7_19 · Cited by 5

Delaying feedback during pre-device training facilitates the retention of novel myoelectric skills: a laboratory and home-based study

Stuttaford, S. A., Dupan, S. S. G., Nazarpour, K., & Dyson, M. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acc4ea · Cited by 5

Surface EMG signal analysis based on the empirical mode decomposition for human-robot interaction

Ruiz-Olaya, A. F., & López-Delis, A. (2013) · Symposium on Image, Signal Processing and Artificial Vision (STSIVA) · doi:10.1109/stsiva.2013.6644943 · Cited by 5

Hand Gesture Recognition Based on Surface Electromyogram Signal (sEMG) with Muscular Contraction Level and Real Time Implementation on An Artificial Prosthetic Wrist Using Artificial Neural Network (ANN)

Hasan, A. F., Masud, H. U., Anzar, T., & Probudha, H. (2020) · IEEE Region 10 Symposium (TENSYMP) · doi:10.1109/tensymp50017.2020.9231038 · Cited by 5

Tongue motor training support system

SASAKI, M., Kohei, O., Nakayama, A., Kamata, K., Stefanov, D. H., & Yamaguchi, M. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944397 · Cited by 5

Effects of interelectrode distance on the robustness of myoelectric pattern recognition systems

Young, A. J., & Hargrove, L. J. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090962 · Cited by 5

Intelligent active assistive and resistive orthotic device for knee rehabilitation

Chandrapal, M., & Chen, X. (2009) · International Conference on Control and Automation · doi:10.1109/icca.2009.5410528 · Cited by 5

Knee motion pattern classification from trunk muscle based on sEMG signals

López-Delis, A., Delisle-Rodríguez, D., Villa-Parra, A. C., & Bastos-Filho, T. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318925 · Cited by 5

A dual-task approach to the evaluation of the myokinemetric signal as an alternative to EMG

Canderle, J., Kenney, L. P. J., Bowen, A., Howard, D., & Chatterton, H. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404262 · Cited by 5

A New Feature Extraction Method for EMG Signals

Sevim, Y. (2022) · Traitement du signal · doi:10.18280/ts.390518 · Cited by 4

Novel gait phases recognition framework leveraging the temporal structure of the myoelectric activity

Mobarak, R., Mengarelli, A., Khushaba, R. N., Al-Timemy, A. H., Prinsen, E. C., Verdini, F., Leijendekkers, R. A., Fioretti, S., Burattini, L., & Tigrini, A. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adfc9a · Cited by 4

Pattern Recognition Classification for Myoelectric based Control of the Robotic Arm using Neural Network

Adhau, S. P., Kadwane, S. G., Rajguru, V., & Telrandhe, S. (2021) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit51480.2021.9498500 · Cited by 4

Head and Voice-Controlled Human-Machine Interface System for Transhumeral Prosthesis

Arias, L. M., Iwaniec, M., Pirowska, P., Smoleń, M., & Augustyniak, P. (2023) · Electronics · doi:10.3390/electronics12234770 · Cited by 4

Tracking training evolution: Patient with upper limb amputation above the elbow

Toledo-Peral, C. L., Leija, L., Muñoz, R., & Vera, A. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627709 · Cited by 4

EMG Onset Detection Based on Teager–Kaiser Energy Operator and Morphological Close Operation

Yang, D., Huang, Q., Yang, W. P., & Liu, H. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22879-2_24 · Cited by 4

Meta-Bayes Classifier with Markov Model Applied to the Control of Bioprosthetic Hand

Kurzynski, M. W., & Majak, M. (2016) · Smart innovation, systems and technologies · doi:10.1007/978-3-319-39627-9_10 · Cited by 4

Hierarchical-Architecture Oriented to Multi-task Planning for Prosthetic Hands Controlling

Quinayás-Burgos, C. A., Ruiz-Olaya, A. F., Torres, L., & Gaviria-López, C. A. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59773-7_17 · Cited by 4

Evaluation of Electromyogram Time Characteristics of the Wrist Functional Movements for Intuitive Control of Bionic Prosthesis

Vonsevych, K. P., Bezuglyi, M. A., & Haponiuk, A. (2018) · Research Bulletin of the National Technical University of Ukraine Kyiv Politechnic Institute · doi:10.20535/1810-0546.2018.1.115941 · Cited by 4

The Mind-Controlled Robotic Hand

Lundborg, G. (2013) · Springer eBooks · doi:10.1007/978-1-4471-5334-4_16 · Cited by 4

Multidimensional control using a mobile-phone based brain-muscle-computer interface

Vernon, S., & Joshi, S. S. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091284 · Cited by 4

Hand kinematics estimation to control prosthetic devices: a nonlinear approach for simultaneous and proportional estimation of 15 DoFs

Ghaderi, P., Karimimehr, S., Andani, M. E., & Marateb, H. R. (2015) · National and International Iranian Conference on Biomedical Engineering (ICBME) · doi:10.1109/icbme.2015.7404148 · Cited by 4

Pilot study for a Brain-Muscle-Computer Interface using the Extensor Pollicis Longus with preselected frequency bands

Skavhaug, I.-M., Bobell, R., Vernon, B. L., & Joshi, S. S. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346282 · Cited by 4

Transforming Insect Electromyograms into Pneumatic Muscle Control

Rutter, B. L., Mu, L., Ritzmann, R. E., & Quinn, R. D. (2007) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2007.363058 · Cited by 4

Decodificación de Movimientos Individuales de los Dedos y Agarre a Partir de Señales Mioeléctricas de Baja Densidad

Mayor, J. J. V., Costa, R. M., Frizera, A., & Bastos-Filho, T. (2017) · Revista Iberoamericana de Automática e Informática Industrial RIAI · doi:10.1016/j.riai.2017.02.001 · Cited by 4

Rehabilitation Robotic Prostheses for Upper Extremity

Huang, H., Liu, Y., Lee, W.-C., Kuan, J., & Huang, T.-H. (2015) · Wiley eBooks · doi:10.1002/9781119036821.ch19 · Cited by 4

Interfacing neural and artificial systems: from neuroengineering to neurorobotics

Dario, P., Laschi, C., Menciassi, A., Guglielmelli, E., Carrozza, A. C., & Micera, S. (2003) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2003.1196850 · Cited by 4

Anthropomorphic Optimization of a Rope-Driven Prosthetic Finger

Li, Q. M., & Li, Y. W. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.568-570.899 · Cited by 3

sEMG Based Movement Quantitative Estimation of Joins Using SVM Method

Liu, D., Zhao, X., Ye, D., Zhao, Y., & Wu, Z. (2014) · IFAC Proceedings Volumes · doi:10.3182/20140824-6-za-1003.01364 · Cited by 3

Trajectory Planning and Realizing of an Exoskeleton Device for Hand Rehabilitation Based on sEMG Control

Meng, Q. Y., Tan, S. L., Yu, H. L., Meng, Q. L., & Fang, Y. F. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.536-537.1015 · Cited by 3

Electrode characterization for use in a Regenerative Peripheral Nerve Interface

Larson, J. V., Goretski, S. A., Cockrum, J. W., Urbanchek, M. G., Cederna, P. S., & Langhals, N. B. (2013) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2013.6696013 · Cited by 3

Comparing Functional EMG Characteristics Between Zero-Order and First-Order Interface Dynamics

Johnson, R. E., & Sensinger, J. W. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2299435 · Cited by 3

Discrimination of intended motions for prosthetic hands using nonstationary EMG

Ito, K., Ibe, A., & Gouko, M. (2009) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2009.5415061 · Cited by 3

On the Use of Surface EMG for Recognizing Forearm Movements: Towards the Control of an Upper Extremity Exoskeleton

López-Delis, A., Mayeta-Revilla, L., Delisle-Rodríguez, D., & Ruiz-Olaya, A. F. (2012) · IEEE Andean Region International Conference (ANDESCON) · doi:10.1109/andescon.2012.49 · Cited by 3

Characteristics evaluation of a rehabilitation robot for upper limbs

Xiao, N., Xu, H., Gao, B., Guo, S., Ma, H., & Zhou, F. (2017) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2017.8015951 · Cited by 3

Event identification by fusing EEG and EMG signals

Sherwani, K. I. K., & Khan, M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99031-8.00020-x · Cited by 3

An investigation of feature combinations of time-domain power spectral descriptors feature extraction for myoelectric control of hand prostheses

Al-Timemy, A. H. (2017) · International Conference on Advances in Biomedical Engineering (ICABME) · doi:10.1109/icabme.2017.8167530 · Cited by 3

Brain controlled robotic arms - advancements in prosthetic technology

Wong, S., & Gui, C. (2019) · University of Western Ontario Medical Journal · doi:10.5206/uwomj.v87i2.1161 · Cited by 3

Finger Motion Estimation Based on Sparse Multi-Channel Surface Electromyography Signals Using Convolutional Neural Network

Asai, K., & Takase, N. (2019) · IEEE International Conference on Digital Signal Processing (DSP) · doi:10.1145/3316551.3316572 · Cited by 3

A Learning Scheme for EMG Based Interfaces: On Task Specificity in Motion Decoding Domain

Liarokapis, M. V., Kyriakopoulos, K. J., & Artemiadis, P. (2014) · Trends in augmentation of human performance · doi:10.1007/978-94-017-8932-5_1 · Cited by 3

Hardware Approach to Artificial Hand Control Based on Selected DFT Points of Myopotential Signals

Szecówka, P. M., Pedzińska-Rżany, J., & Wołczowski, A. R. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04772-5_74 · Cited by 3

Three-Dimensional Simultaneous EMG Control Based on Multi-layer Support Vector Regression with Interactive Structure

Yang, W. P., Yang, D., Liu, Y., & Liu, H. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22879-2_26 · Cited by 3

Brisk movement imagination for the non-invasive control of neuroprostheses: A first attempt

Müller-Putz, G., Ofner, P., Kaiser, V., Clauzel, G., & Neuper, C. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091047 · Cited by 3

SEMG-based continuous posture recognition of elbow flexion and extension in sagittal plane

Song, Z., Wang, Z., & Guo, S. (2013) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2013.6618038 · Cited by 3

Analysis of EMG temporal parameters from the tibialis anterior during hemiparetic gait

Bonell, C. E., Cherniz, A. S., & Tabernig, C. B. (2007) · Journal of Physics Conference Series · doi:10.1088/1742-6596/90/1/012087 · Cited by 3

Multigrasp myoelectric control for a transradial prosthesis

Dalley, S. A., Varol, H. A., & Goldfarb, M. T. (2011) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2011.5975479 · Cited by 3

Extending myoelectric prosthesis control with shapable automation

Derry, M., & Argall, B. (2014) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2559636.2559685 · Cited by 3

Real time Electronic Control of Multi Fingered Hand Based on Sensors

Shyamala, B. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.07.353 · Cited by 3

Online Prediction of Robot to Human Handover Events Using Vibrations

Singh, H., Controzzi, M., Cipriani, C., Caterina, G. D., Petropoulakis, L., & Soraghan, J. (2018) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco.2018.8553474 · Cited by 3

General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics

Örteş, F., Karabulut, D., & Arslan, Y. Z. (2018) · Advances in environmental engineering and green technologies book series · doi:10.4018/978-1-5225-7359-3.ch001 · Cited by 3

Wearable Multi-channel EMG Biometrics: Concepts

Brahim, I., Dhibou, I., Makni, L., Said, S., & Naït-Ali, A. (2019) · Series in bioengineering · doi:10.1007/978-981-13-0956-4_5 · Cited by 3

A Compact Control System and A Myoelectric Control Method for Multi-DOFs Prosthetic Hand

Yang, B., Jiang, L., Hu, J., Li, C., & Liu, H. (2019) · IEEE International Conference on Real-time Computing and Robotics (RCAR) · doi:10.1109/rcar47638.2019.9044103 · Cited by 3

Decoding human motion intention using myoelectric signals for assistive technologies

Antuvan, C. W. (2019) · doi:10.32657/10220/48046 · Cited by 3

Regulating Grip Forces through EMG-Controlled Protheses for Transradial Amputees

Rasines, I., Prada, M., Bobrov, V., Agrawal, D., Martinez, L., Iriondo, P., Remazeilles, A., & McIntyre, J. (2021) · Applied Sciences · doi:10.3390/app112311199 · Cited by 2

Uses of Prosthetics for Improving Quality of Life: A Basic Review

Gupta, M. T. N. (2024) · International Journal of Science and Research (IJSR) · doi:10.21275/mr24129115251 · Cited by 2

The socio-economic impact of robotic prosthetics: the Hannes hand case study

Preti, S., Caserta, G., Michieli, L. D., Boccardo, N., & di Bella, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-15652-y · Cited by 2

UPM prosthetic hand system design - preliminary results

Zaini, M. H. M., Ahmad, S. A., Marhaban, M. H., & Hasan, W. Z. W. (2011) · IEEE Student Conference on Research and Development (SCOReD) · doi:10.1109/scored.2011.6148730 · Cited by 2

EMG Signal Based Knee Joint Angle Estimation of Flexion and Extension with Extreme Learning Machine (ELM) for Enhancement of Patient-Robotic Exoskeleton Interaction

Anwar, T., Anam, K., & Al-Jumaily, A. A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-26532-2_64 · Cited by 2

ECG based Categorical emotion classification using time-domain features and Machine Learning

Swarubini, P. J., Sriram Kumar, P., Govarthan, P. K., Purkayastha, M., Deb, P., Sairam, S., Asaithambi, M., & Ronickom, J. F. A. (2023) · Current Directions in Biomedical Engineering · doi:10.1515/cdbme-2023-1174 · Cited by 2

Comparison of Root Mean Square Index and Hilbert-Huang Transform for Detection of Muscle Activation in a Person with Elbow Disarticulation

Varón, L. A. B., Hurtado, É. F. A., Ortega, K. N. O., Poveda, L., & Mayor, J. J. V. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-49552-6_32 · Cited by 2

Spinal Interfacing via Muscle Recordings for Neuroprosthesis Control

Muceli, S., & Farina, D. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_29-1 · Cited by 2

Understandable time frame-based biosignal processing

Rafiei, H., & Akbarzadeh-T, M.-R. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107429 · Cited by 2

A MATLAB Toolbox for Upper Limb Movement Classification

Attenberger, A., & Buchenrieder, K. J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-53862-9_25 · Cited by 2

Biomechanics: Surface electromyography prosthesis control

Caldwell, P., Al-Bayaty, R., Kellar, C., & Shin, I.-S. (2012) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2012.6512954 · Cited by 2

4 channel signal based FPGA architecture for myolectric features extraction by H.O.S.

Díaz, S. A. A., Sánchez, A. D., Gaspariano, L. A. S., & Escudero-Uribe, A. Z. (2010) · Circuits and Systems for Medical and Environmental Applications Workshop (CASME) · doi:10.1109/casme.2010.5706690 · Cited by 2

Online Intramuscular EMG Decomposition with Varying Number of Active Motor Units

Carpentier, É. L., Aoustin, Y., Monsifrot, J., & Farina, D. (2014) · Biosystems & biorobotics · doi:10.1007/978-3-319-08072-7_50 · Cited by 2

Are We the Robots?

Pisotta, I., & Ionta, S. (2014) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/978-1-4666-6094-6.ch005 · Cited by 2

Finger Position Classification from Myoelectric Signal using Time Domain Based Features

Torres, G. A., & Benítez, V. H. (2016) · International Conference on Control, Mechatronics and Automation (ICCMA) · doi:10.1145/3029610.3029621 · Cited by 2

MLPNN and kNN Based Classification of sEMG Signal for Myoelectric Control of Upper Limb Prosthesis

Negi, S., Kumar, Y., & Mishra, V. M. (2017) · Annals of Computer Science and Information Systems · doi:10.15439/2017r96 · Cited by 2

Electromyography data application in control systems of exoskeleton devices

Баумана, М. И. Н. Э., Гаврилов, А. И., Со, С. Т. У., & Баумана, М. И. Н. Э. (2017) · Engineering Journal Science and Innovation · doi:10.18698/2308-6033-2017-6-1623 · Cited by 2

EEG Decoding of Overground Walking and Resting, a Feasibility Study

Artoni, F., Massai, E., & Micera, S. (2018) · Biosystems & biorobotics · doi:10.1007/978-3-030-01845-0_86 · Cited by 2

A SEMG-angle model based on HMM for human robot interaction

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EMG controlled bionic arm

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