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Liliana P. Paredes
Vienna University of Technology
StimulationElectromyographyRehabilitationComputer sciencePhysical medicine and rehabilitation
11Publications
6H-index
196Citations
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Publications 12
Newest
#1Detlef MarksH-Index: 2
Last. Jens Carsten MöllerH-Index: 1
view all 7 authors...
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#1Hubertus J. A. van Hedel (Boston Children's Hospital)H-Index: 20
#2Giacomo Severini (UCD: University College Dublin)H-Index: 7
Last. Michael L. Boninger (University of Pittsburgh)H-Index: 54
view all 25 authors...
The original article [1] contains a small mistake concerning the ARTIC Team members mentioned in the Acknowledgements. The team member, Rocco Salvatore Calabro had their name presented incorrectly. This has now been corrected in the original article.
6 CitationsSource
Background Electrocutaneous stimulation can restore the missing sensory information to prosthetic users. In electrotactile feedback, the information about the prosthesis state is transmitted in the form of pulse trains. The stimulation frequency is an important parameter since it influences the data transmission rate over the feedback channel as well as the form of the elicited tactile sensations.
6 CitationsSource
Apr 1, 2015 in NER (International IEEE/EMBS Conference on Neural Engineering)
#1Liliana P. ParedesH-Index: 6
#2Dario Farina (GAU: University of Göttingen)H-Index: 76
Last. Andrea TurollaH-Index: 16
view all 4 authors...
Here we investigate whether torque or myoelectric control was more efficient during active, robotic-assisted therapy. Eleven hemiparetic stroke patients employed the RehaArm-robot, which consist of an exoskeleton that supports the entire arm and measures in real time the joint position and moment of the shoulder, in four sessions of one hour on consecutive days. At each session, the patients repeatedly performed basic movements of the shoulder in passive and active mode. During the passive mode,...
Source
Aug 1, 2014 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Marina M.-C. Vidovic (Technical University of Berlin)H-Index: 4
#2Liliana P. ParedesH-Index: 6
Last. Klaus-Robert Müller (Technical University of Berlin)H-Index: 4
view all 9 authors...
3 CitationsSource
#1Sebastian Amsüss (GAU: University of Göttingen)H-Index: 5
#2Peter M. GoebelH-Index: 5
Last. Dario Farina (GAU: University of Göttingen)H-Index: 76
view all 6 authors...
Pattern recognition methods for classifying user motion intent based on surface electromyography developed by research groups in well-controlled laboratory conditions are not yet clinically viable for upper limb prosthesis control, due to their limited robustness in users' real-life situations. To address this problem, a novel postprocessing algorithm, aiming to detect and remove misclassifications of a pattern recognition system of forearm and hand motions, is proposed. Using the maximum likeli...
88 CitationsSource
#1Clara GennaH-Index: 3
#2Strahinja Dosen (GAU: University of Göttingen)H-Index: 21
Last. Dario Farina (GAU: University of Göttingen)H-Index: 76
view all 6 authors...
In this work, we introduced a novel experimental protocol for shoulder rehabilitation after stroke using RehaArm, a three Degrees of Freedom compliant robot. We implemented a control framework based on sensorimotor integration by developing an electromyographic (EMG) driven operation of the robot. EMG signals from five muscles were collected during experimental protocol consisting of four principal rotations of the shoulder joint. The subject movement intention was detected by monitoring the EMG...
2 CitationsSource
#1Nan GeH-Index: 2
#2Peter M. GoebelH-Index: 5
Last. Dario FarinaH-Index: 76
view all 6 authors...
The robustness of myo-electric prosthesis usage is largely influenced by user performance, where psychological factors (i.e. cognitive-skills, motor-skills and psychological status - such as motivation, will, and stress) play a prominent role. These factors become more important the more degrees of freedom (DOF) a multifunctional prosthesis provides. Despite the large amount of research efforts during the past decades on developing robust control and feedback methods, there has been limited atte...
5 CitationsSource
Jul 1, 2013 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Sebastian Amsüss (GAU: University of Göttingen)H-Index: 5
#2Liliana P. ParedesH-Index: 6
Last. Dario Farina (GAU: University of Göttingen)H-Index: 76
view all 6 authors...
Long-term functioning of a hand prosthesis is crucial for its acceptance by patients with upper limb deficit. In this study the reliability over days of the performance of pattern classification approaches based on surface electromyography (sEMG) signal for the control of upper limb prostheses was investigated. Recordings of sEMG from the forearm muscles were obtained across five consecutive days from five healthy subjects. It was demonstrated that the classification performance decreased monoto...
25 CitationsSource
Aug 1, 2012 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Hubertus Rehbaum (GAU: University of Göttingen)H-Index: 8
#2Ning JiangH-Index: 29
Last. Dario Farina (GAU: University of Göttingen)H-Index: 76
view all 6 authors...
We present the real time simultaneous and proportional control of two degrees of freedom (DoF), using surface electromyographic signals from the residual limbs of three subject with limb deficiency. Three subjects could control a virtual object in two dimensions using their residual muscle activities to achieve goal-oriented tasks. The subjects indicated that they found the control intuitive and useful. These results show that such a simultaneous and proportional control paradigm is a promising ...
27 CitationsSource
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