Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal

Estimation of continuous thumb angle and force using electromyogram classification

Siddiqi, A. R., & Sidek, S. N. (2016) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881416658179 · Cited by 13

In Vivo Estimation of Flexor Digitorum Superficialis Tendon Displacement with Speckle Tracking on 2-D Ultrasound Images Using Laplacian, Gaussian and Rayleigh Techniques

Stegman, K. J., Djurickovic, S., & Dechev, N. (2013) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2013.09.029 · Cited by 13

Neighborhood denoising for learning high-dimensional grasping manifolds

Tsoli, A., & Jenkins, O. C. (2008) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2008.4651228 · Cited by 13

Multimodal sensor-based human-robot collaboration in assembly tasks

Male, J., Al, G. A., Shabani, A., & Martínez-Hernández, U. (2022) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53654.2022.9945532 · Cited by 12

Finger pinch force estimation through muscle activations using a surface EMG sleeve on the forearm

Fang, Y., Ju, Z., Zhu, X., & Liu, H. (2014) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee.2014.6891790 · Cited by 12

Divide-and-conquer muscle synergies: A new feature space decomposition approach for simultaneous multifunction myoelectric control

Huang, G., Xian, Z., Zhang, Z., Li, S., & Zhu, X. (2018) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.04.011 · Cited by 12

Introduction to Upper Limb Prosthetics

Graimann, B., & Dietl, H. (2013) · Wiley eBooks · doi:10.1002/9781118628522.ch14 · Cited by 12

Forearm functional movement recognition using spare channel surface electromyography

Zhang, Z., Wong, C., & Yang, G. (2013) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2013.6575507 · Cited by 11

A Novel Interval Type-2 Fuzzy Classifier Based on Explainable Neural Network for Surface Electromyogram Gesture Recognition

Lv, S., Li, Z., Huang, J., & Shi, P. J. (2023) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2023.3310524 · Cited by 11

Recognition of motion of human upper limb using sEMG in real time: Towards bilateral rehabilitation

Song, Z., Guo, S., Pang, M., & Zhang, S. (2012) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2012.6491165 · Cited by 11

Multimodal sensor controlled three Degree of Freedom transradial prosthesis

Ohnishi, K., Kajitani, I., Morio, T., & Takagi, T. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650467 · Cited by 11

Hybrid control strategy for five-fingered smart prosthetic hand

Chen, C.-H., Naidu, D. S., Gracia, A. P., & Schoen, M. P. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5400771 · Cited by 11

Real‐time control of dielectric elastomer actuators via bioelectric and biomechanical signals

Carpi, F., Raspopović, S., Frediani, G., & Rossi, D. D. (2009) · Polymer International · doi:10.1002/pi.2757 · Cited by 11

Endpoint Control for a Powered Shoulder Prosthesis

Phillips, S. L., Resnik, L. J., Fantini, C. M., & Latlief, G. A. (2013) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/jpo.0000000000000006 · Cited by 11

Basic hand action classification based on surface EMG using autoregressive reflection coefficient

Fattah, S. A., Iqbal, O., Zahin, S., Shahnaz, C., & Rosul, G. (2017) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2017.8228071 · Cited by 11

Local binary patterns for noise-tolerant sEMG classification

Tabatabaei, S. M., & Chalechale, A. (2018) · Signal Image and Video Processing · doi:10.1007/s11760-018-1374-x · Cited by 11

Soft robotic glove system controlled with amplitude independent muscle activity detection algorithm by using single sEMG channel

Hameed, H. K., Hasan, W. Z. W., Shafie, S. B., Ahmad, S. A., & Jaafar, H. (2018) · IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) · doi:10.1109/icsima.2018.8688753 · Cited by 11

Smart Home

Contreras-Castañeda, M. A., Holgado-Terriza, J. A., Pomboza-Junez, G., Paderewski, P., & Vela, F. L. G. (2019) · International Conference on Human Computer Interaction (Interacción) · doi:10.1145/3335595.3335636 · Cited by 11

End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks

Olsson, A. E., Malešević, N., Björkman, A., & Antfolk, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.777329 · Cited by 11

A biomechanical model for the development of myoelectric hand prosthesis control systems

Peerdeman, B., Boerey, D., Kallenbergy, L., Stramigioli, S., & Misra, S. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626085 · Cited by 11

Surface electromyography of neck strap muscles for estimating the intended pitch of a bionic voice source

Ahmadi, F., Ribeiro, M. A., & Halaki, M. (2014) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2014.6981639 · Cited by 11

Identification of finger movements from forearm surface EMG using an augmented probabilistic neural network

Fu, J., Xiong, L., Song, X., Yan, Z., & Xie, Y. (2017) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii.2017.8279278 · Cited by 11

Hand-movement Prediction from EMG with LSTM-Recurrent Neural Networks

García-Vellisca, M. A., Matran‐Fernandez, A., Poli, R., & Citi, L. (2021) · Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE) · doi:10.1109/gmepe/pahce50215.2021.9434840 · Cited by 10

Fusion of fuzzy logic and PD control for a five-fingered smart prosthetic hand

Chen, C.-H., & Naidu, D. S. (2011) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzzy.2011.6007645 · Cited by 10

Surgical and non-surgical prosthetic hands control: A review

Zaini, M. H. M., & Ahmad, S. A. (2011) · IEEE Symposium on Industrial Electronics & Applications (ISIEA) · doi:10.1109/isiea.2011.6108792 · Cited by 10

Baseline Adaptive Wavelet Thresholding Technique for sEMG Denoising

Bartolomeo, L. D., Zecca, M., Sessa, S., Lin, Z., Mukaeda, Y., Ishii, H., Takanishi, A., Pham, T. D., Zhou, X., Tanaka, H., et al. (2011) · AIP conference proceedings · doi:10.1063/1.3596644 · Cited by 10

Adaptive common average filtering for myocontrol applications

Rehbaum, H., & Farina, D. (2014) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-014-1215-1 · Cited by 10

A Prosthetic Hand Control Based on Nonstationary EMG at the Start of Movement

Tsukamoto, M., Kondo, T., & Ito, K. (2007) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2007.p0381 · Cited by 10

An attempt to bridge muscle architecture dynamics and its instantaneous rate of force development using ultrasonography

Li, J., Zhou, Y., Zheng, Y., & Li, G. (2015) · Ultrasonics · doi:10.1016/j.ultras.2015.03.009 · Cited by 10

EMG-force estimation for multiple fingers

Liu, P., Brown, D. R., Clancy, E. A., Martel, F., & Rancourt, D. (2013) · IEEE Signal Processing in Medicine and Biology Symposium · doi:10.1109/spmb.2013.6736772 · Cited by 10

Comparison of sEMG Onset Detection Methods for Occupational Exoskeletons on Extensive Close-to-Application Data

Kreipe, S., Helbig, T., Witte, H., Schumann, N.-P., & Anders, C. (2024) · Bioengineering · doi:10.3390/bioengineering11020119 · Cited by 9

Neuro-motor controlled wearable augmentations: current research and emerging trends

Alsuradi, H., Hong, J., Mazi, H., & Eid, M. A. (2024) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2024.1443010 · Cited by 9

Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network

Dunai, L., Verdú, I. S., Țurcanu, D., & Bostan, V. (2025) · Technologies · doi:10.3390/technologies13010021 · Cited by 10

Low-computational EMG gesture recognition for prosthetic control via handcrafted features and lightweight MLP

Lin, L., Dai, Y., Zhang, G., Ge, Y., Mayet, A. M., Pan, X., Yang, G., & Lin, M. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.106602 · Cited by 9

An Unsorted Spike-Based Pattern Recognition Method for Real-Time Continuous Sensory Event Detection from Dorsal Root Ganglion Recording

Han, S., Chu, J., Kim, H., Choi, K., Park, J. W., & Youn, I. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2490739 · Cited by 9

Precise Control Method on Prosthetic Hand Using sEMG Signals

Orban, M., Zhang, X., Lu, Z., Marcal, A., Emad, A., & Masengo, G. (2020) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber50695.2020.9279179 · Cited by 9

Hand movement classification using transient state analysis of surface multichannel EMG signal

Mobarak, M. P., Muñoz, R., Gutiérrez, J. M., & Louis-Dorr, V. (2014) · Pan American Health Care Exchanges · doi:10.1109/pahce.2014.6849622 · Cited by 9

Grasp specific and user friendly interface design for myoelectric hand prostheses

Mohammadi, A., Lavranos, J., Howe, R. D., Choong, P., & Oetomo, D. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009480 · Cited by 9

A Novel Underactuated Soft Humanoid Hand For Hand Sign Language

Salem, M. E. M., Wen, R., Xu, M. H., Yan, L., Ma, X., & Wang, Q. (2019) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc.2019.8827021 · Cited by 9

Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification

Taee, A. A. A., Khushaba, R. N., Zia, T. A., & Al-Jumaily, A. A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-97546-3_15 · Cited by 11

Comparison of myocontrol and force control based on fitts’ law model

Park, J., Kim, H., Chung, W., & Park, S. (2011) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-011-0029-4 · Cited by 9

Motion recognition of the bilateral upper-limb rehabilitation using sEMG based on ensemble EMD

Song, X., Guo, S., Gao, B., & Wang, Z. (2014) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2014.6885945 · Cited by 9

The weight load inconsistency effect on voluntary movement recognition of essential tremor patient

Seki, M., Matsumoto, Y., Ando, T., Kobayashi, Y., Iijima, H., Nagaoka, M., & Fujie, M. G. (2011) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2011.6181402 · Cited by 9

A blinking periorbital prosthesis using surface electromyographic signals of the orbicularis oculi muscle

Akamatsu, T., Kawashima, N., Tsunekuni, T., Imagawa, K., & Miyasaka, M. (2015) · European Journal of Plastic Surgery · doi:10.1007/s00238-015-1111-4 · Cited by 9

A hybrid adaptive data fusion with linear and nonlinear models for skeletal muscle force estimation

Kumar, P., Potluri, C., Anugolu, M., Sebastian, A., Creelman, J., Urfer, A., Chiu, S., Naidu, D. S., & Schoen, M. P. (2010) · Cairo International Biomedical Engineering Conference · doi:10.1109/cibec.2010.5716075 · Cited by 9

Design Principles of a Light, Wearable Upper Limb Interface for Prosthetics and Teleoperation

Castellini, C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814659-0.00020-5 · Cited by 9

A Low-Cost Arm Robotic Platform based on Myoelectric Control for Rehabilitation Engineering

Ruiz-Olaya, A. F., Burgos, C. A. Q., & Londono, L. T. (2019) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon47517.2019.8993080 · Cited by 9

Real-time upper limb motion prediction from noninvasive biosignals for physical human-machine interactions

Kwon, S., & Kim, J. (2009) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2009.5346905 · Cited by 9

Design methods for innovative hand prostheses

Carrozza, M. C., Cappiello, G., Beccai, L., Zaccone, F., Micera, S., & Dario, P. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404209 · Cited by 9

Toward Natural Limb Function: A New Era in Prosthetic Innovation

Tian, Y., Wallace, D. M., Cederna, P. S., Chestek, C. A., & Kemp, S. W. P. (2025) · Annals of Neurology · doi:10.1002/ana.27287 · Cited by 8

Neuromuscular implants: Interfacing with skeletal muscle for improved clinical translation of prosthetic limbs

Quinn, K. N., Tian, Y., Budde, R. B., Irazoqui, P. P., TUFFAHA, S. H., & Thakor, N. V. (2023) · Muscle & Nerve · doi:10.1002/mus.28029 · Cited by 8

Classification of the surface EMG signal using RQA based representations

Yuan, C., Zhu, X., Liu, G., & Lei, M. (2008) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2008.4634087 · Cited by 8

Posture recognition of elbow flexion and extension using sEMG signal based on multi-scale entropy

Wang, Z., Guo, S., Gao, B., & Song, X. (2014) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2014.6885857 · Cited by 8

The Effectiveness of Narrowing the Window size for LD & HD EMG Channels based on Novel Deep Learning Wavelet Scattering Transform Feature Extraction Approach

Taee, A. A. A., Khushaba, R. N., Zia, T. A., & Al-Jumaily, A. A. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871473 · Cited by 8

Control System of Bioprosthetic Hand Based on Advanced Analysis of Biosignals and Feedback from the Prosthesis Sensors

Kurzynski, M. W., & Wołczowski, A. R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31196-3_20 · Cited by 8

Scientific models and ethical issues in hybrid bionic systems research

Salvini, P., Datteri, E., Laschi, C., & Dario, P. (2007) · AI & Society · doi:10.1007/s00146-007-0158-6 · Cited by 8

Finger joint continuous interpretation based on sEMG signals and muscular model

Pang, M., Guo, S., & Zhang, S. (2013) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2013.6618124 · Cited by 8

Comparison of sonomyography and electromyography of forearm muscles in the guided wrist extension

Guo, J.-Y., Zheng, Y., Huang, Q.-H., Chen, X., & He, J.-F. (2008) · IEEE/EMBS International Summer School on Medical Devices and Biosensors (ISSS-MDBS) · doi:10.1109/issmdbs.2008.4575062 · Cited by 8

Dimensionality Reduction for the Control of Powered Upper Limb Prostheses

Buchenrieder, K. J. (2007) · IEEE International Conference and Workshop on the Engineering of Computer-Based Systems (ECBS) · doi:10.1109/ecbs.2007.32 · Cited by 8

Design of a cost-effective EMG driven bionic leg

Latif, T., Ellahi, C. M., Choudhury, T., & Rabbani, K. S.-E. (2008) · International Conference on Electrical and Computer Engineering (ICECE) · doi:10.1109/icece.2008.4769177 · Cited by 8

Novel wearable EMG sensors based on nanowire technology

Myers, A. C., Du, L., Huang, H., & Zhu, Y. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6943928 · Cited by 8

Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation

Song, Z., & Zhang, S. (2016) · Sensors · doi:10.3390/s16101739 · Cited by 8

Novel algorithm for conventional myocontrol of upper limbs prosthetics

Benchabane, S. I., Saadia, N., & Ramdane-Chérif, A. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.101791 · Cited by 8

sEMG based fuzzy control strategy with ANFIS path planning for prosthetic hand

Potluri, C., Kumar, P., Anugolu, M., Chiu, S. C., Urfer, A., Schoen, M. P., & Naidu, D. S. (2010) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2010.5627782 · Cited by 8

Comparative Analysis of Classifiers for EMG Signals

Saeed, B. A., Gilani, S. O., Rehman, M. Z. U., Jamil, M., Waris, A., & Khan, M. N. (2019) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece.2019.8861835 · Cited by 8

New advances in EMG control methods of anthropomorphic prosthetic hand

Wang, Y., Liu, H., Leng, D., Gao, W., Cai, M., Xu, W., Zhang, X. D., & Shi, Y. (2017) · Science China Technological Sciences · doi:10.1007/s11431-017-9159-3 · Cited by 8

Surface Electromyography Data Analysis for Evaluation of Physical Exercise Habits between Athletes and Non-Athletes during Indoor Rowing

Grzejszczak, T., Roksela, A., Poświata, A., Siemianowicz, A., Kiełboń, A., & Mikulski, M. (2024) · Sensors · doi:10.3390/s24061964 · Cited by 7

Development of two degree of freedom (DoF) bionic hand for below elbow amputee

Srinivasa, P. L., Nagananda, S. N., Kadambi, G. R., Hariharan, R., Shankpal, P., & Shankapal, S. R. (2013) · IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) · doi:10.1109/conecct.2013.6469296 · Cited by 7

An Ensemble of Long Short-Term Memory Networks with an Attention Mechanism for Upper Limb Electromyography Signal Classification

Alotaibi, N. D., Jahanshahi, H., Yao, Q., Mou, J., & Bekiros, S. D. (2023) · Mathematics · doi:10.3390/math11184004 · Cited by 7

Movements classification system for transhumeral amputees using myoelectric signals

Hurtado, É. F. A., Varón, L. A. B., Sarria-Paja, M., Carmona, J. A. A., Durán, J. C. S., & Mayor, J. J. V. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106776 · Cited by 7

Study of the SEMG probability distribution of the paretic tibialis anterior muscle

Cherniz, A. S., Bonell, C. E., & Tabernig, C. B. (2007) · Journal of Physics Conference Series · doi:10.1088/1742-6596/90/1/012054 · Cited by 7

Analysis of Electrode Shift Effects on Wavelet Features Embedded in a Myoelectric Pattern Recognition System

Fontana, J. M., & Chiu, A. W. L. (2013) · Assistive Technology · doi:10.1080/10400435.2013.827138 · Cited by 7

Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children

Hiyoshi, Y., Murai, Y., Yabuki, Y., TAKAHANA, K., Morishita, S., Jiang, Y., Togo, S., Takayama, S., & Yokoi, H. (2018) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2018.00048 · Cited by 7

The Study of Time Domain Features of EMG Signals for Detecting Driver’s Drowsiness

Naim, F., Mustafa, M., Sulaiman, N., & Rahman, N. A. A. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-33-4597-3_39 · Cited by 7

Improved swarm-wavelet based extreme learning machine for myoelectric pattern recognition

Budiarsa, A. P. B., Leu, J., Yuen, K. K. F., & Sigalingging, X. K. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.103737 · Cited by 7

Two-Stage Multiclassifier System with Correction of Competence of Base Classifiers Applied to the Control of Bioprosthetic Hand

Kurzynski, M. W., Krysmann, M., Trajdos, P., & Wołczowski, A. R. (2014) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2014.98 · Cited by 7

Study on recognition of upper limb motion pattern using surface EMG signals for bilateral rehabilitation

Song, Z., Guo, S., Pang, M., & Zhang, S. (2012) · International Symposium on Micro-NanoMechatronics and Human Science · doi:10.1109/mhs.2012.6492483 · Cited by 7

Performance of pattern recognition myoelectric control using a generic electrode grid with Targeted Muscle Reinnervation patients

Tkach, D. C., Young, A. J., Smith, L. H., & Hargrove, L. J. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346922 · Cited by 7

Investigation of probability density functions in modeling sample distribution of surface electromyographic (sEMG) signals

Rosa, I. D. G., Garcia, M. A. C., & de Souza, M. N. (2013) · Archives of Control Sciences · doi:10.2478/acsc-2013-0023 · Cited by 7

Recognition of hand motions via surface EMG signal with rough entropy

Zhong, J., Shi, J., Cai, Y., & Zhang, Q. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091018 · Cited by 7

A Fuzzy PID Control Method for the Grasping Force of an Underactuated Prosthetic Hand

Li, Q. M., & Lv, Y. P. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.551.514 · Cited by 7

A novel feature reduction method for real-time EMG pattern recognition system

Yang, P., Xing, K., Huang, J., & Wang, Y. (2013) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2013.6561165 · Cited by 7

Bond graph modelling of a customized anthropomorphic prosthetic hand with LQR control synthesis

Abbasi, S. H., & Mahmood, A. (2017) · International Multi-Topic Conference · doi:10.1109/inmic.2017.8289466 · Cited by 7

Applying EMG technology in medial and lateral elbow enthesopathy treatment using Myo motion controller

Grabczyński, A., Szklanny, K., & Wrzeciono, P. (2019) · Australasian Physical & Engineering Sciences in Medicine · doi:10.1007/s13246-019-00770-5 · Cited by 7

Gait Recognition Based on EMG Information with Multiple Features

Cao, Y., Gao, F., Yu, L., & She, Q. (2018) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-00828-4_41 · Cited by 7

2D Subspaces for Sparse Control of High-DOF Robots

Jenkins, O. C. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259857 · Cited by 7

Low-cost assistive device for hand gesture recognition using sEMG (Erratum)

Cymbalak, D., Kardoš, S., Fecil'ak, P., Jakab, F., Mak, A., & Kainz, O. (2016) · International Workshop on Pattern Recognition (IWPR) · doi:10.1117/12.2243167 · Cited by 7

Uncovering attempted movements of the paralyzed upper limb after stroke through EEG and EMG

López‐Larraz, E., Sarasola-Sanz, A., Birbaumer, N., & Ramos‐Murguialday, A. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01687-9 · Cited by 8

Design of a myoelectric prosthetic training and assessment system

Scoufield, J. A., & Schreiner, S. R. (2004) · IEEE Annual Northeast Bioengineering Conference (NEBEC) · doi:10.1109/nebc.2004.1300064 · Cited by 6

Random forests based sub-vocal electromyogram signal acquisition and classification for rehabilitative applications

Champaty, B., Biswal, B., Pal, K., & Tibarewala, D. N. (2014) · International Conference on Automation, Control, Energy and Systems (ACES) · doi:10.1109/aces.2014.6808012 · Cited by 6

Analysis of dual-channel surface electromyogram using second-order and higher-order spectral features

Gupta, R., & Kulshreshtha, A. (2016) · International Conference on Communication, Control and Intelligent Systems (CCIS) · doi:10.1109/ccintels.2016.7878199 · Cited by 6

Online Fault Detection Approach of Unpredictable Inputs: Application to Handwriting System

Chihi, I., & Benrejeb, M. (2018) · Complexity · doi:10.1155/2018/9789060 · Cited by 6

A threshold selection criterion based on the number of runs for the detection of bursts in EMG signals

Guerrero, J. A., & Macías‐Díaz, J. E. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.101699 · Cited by 6

Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors

Hameed, H. K., Hasan, W. Z. W., Shafie, S. B., Ahmad, S. A., Jaafar, H., & Mat, L. N. I. (2020) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2020.1753838 · Cited by 6

Do Cost Functions for Tracking Error Generalize across Tasks with Different Noise Levels?

Sensinger, J. W., Aleman‐Zapata, A., & Englehart, K. B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0136251 · Cited by 6

EMG Classification for Application in Hierarchical FES System for Lower Limb Movement Control

Zhang, D., Wang, Y., Chen, X., & Xu, F. Y. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25486-4_17 · Cited by 6

Analysis of myoelectric signals using a Field Programmable SoC

Borbély, B. J., Kineses, Z., Vorohazi, Z., Nagy, Z., & Szolgay, P. (2013) · European Conference on Circuit Theory and Design · doi:10.1109/ecctd.2013.6662255 · Cited by 6

A biomimetic similarity index for prosthetic hands

Kakoty, N. M., & Hazarika, S. M. (2013) · doi:10.1109/cirat.2013.6613820 · Cited by 6

Myocontrol in Aging

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