Farina, Dario
Imperial College London
34 papers on CoChatORCID 0000-0002-7883-2697
Most cited papers
- Verified
Multichannel electrotactile feedback for simultaneous and proportional myoelectric control
Patel, G. K., Dosen, S., Castellini, C., & Farina, D. (2016) · Journal of Neural Engineering
Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics
Cited by 58
- Verified
Estimating reflex responses in large populations of motor units by decomposition of the high‐density surface electromyogram
Yavuz, U. Ş., Negro, F., Sebik, O., Holobar, A., Frömmel, C., Türker, K. S., & Farina, D. (2015) · The Journal of Physiology
Muscle activation and electromyography studiesPeripheral Nerve Disorders
Cited by 55
- Verified
Identification of task parameters from movement-related cortical potentials
Gu, Y., do Nascimento, O. F., Lucas, M.-F., & Farina, D. (2009) · Medical & Biological Engineering & Computing
EEG and Brain-Computer InterfacesMuscle activation and electromyography studies
Cited by 51
- Verified
Identification of movement-related cortical potentials with optimized spatial filtering and principal component analysis
Boye, A. T., Kristiansen, U. Q., Billinger, M., Nascimento, O. F. D., & Farina, D. (2008) · Biomedical Signal Processing and Control
EEG and Brain-Computer InterfacesMuscle activation and electromyography studies
Cited by 45
- Verified
Intramuscular Stimulation of Muscle Afferents Attains Prolonged Tremor Reduction in Essential Tremor Patients
Pascual-Valdunciel, A., Gonzalez-Sanchez, M., Muceli, S., Adan-Barrientos, B., Escobar-Segura, V., Perez-Sanchez, J. R., Jung, M. K., Schneider, A., Hoffmann, K.-P., Moreno, J. C., et al. (2021) · IEEE Transactions on Biomedical Engineering
Deep Brain Stimulation and Movement DisordersMuscle activation and electromyography studies
Cited by 37
- Verified
High-density EMG, IMU, kinetic, and kinematic open-source data for comprehensive locomotion activities
Dimitrov, H., Bull, A. M. J., & Farina, D. (2023) · Scientific Data
Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics
Cited by 34
- Verified
A thin-film multichannel electrode for muscle recording and stimulation in neuroprosthetics applications
Muceli, S., Poppendieck, W., Hoffmann, K.-P., Dosen, S., Benito-León, J., Barroso, F. O., Pons, J. L., & Farina, D. (2019) · Journal of Neural Engineering
Neuroscience and Neural EngineeringMuscle activation and electromyography studies
Cited by 33
- Verified
Decoding motor neuron activity from epimysial thin-film electrode recordings following targeted muscle reinnervation
Muceli, S., Bergmeister, K. D., Hoffmann, K.-P., Aman, M., Vukajlija, I., Aszmann, O. C., & Farina, D. (2019) · Journal of Neural Engineering
Neuroscience and Neural EngineeringMuscle activation and electromyography studies
Cited by 30
- Verified
Leveraging High-Density EMG to Investigate Bipolar Electrode Placement for Gait Prediction Models
Hodossy, B. K., Guez, A. S., Jing, S., Huo, W., Vaidyanathan, R., & Farina, D. (2024) · IEEE Transactions on Human-Machine Systems
Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics
Cited by 10
- Verified
Leveraging high-density EMG to investigate bipolar electrode placement for gait prediction models
Hodossy, B., Guez, A., Jing, S., Huo, W., Vaidyanathan, R., & Farina, D. (2023) · IEEE Transactions on Human-Machine Systems
Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics
Cited by 10
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