Dosen, Strahinja

[["dc.bibliographiccitation.firstpage","290"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","301"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","D'Alonzo, Marco"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Cipriani, Christian"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:42:44Z"],["dc.date.available","2018-11-07T09:42:44Z"],["dc.date.issued","2014"],["dc.description.abstract","Electro- or vibro-tactile stimulations were used in the past to provide sensory information in many different applications ranging from human manual control to prosthetics. The two modalities were used separately in the past, and we hypothesized that a hybrid vibro-electrotactile (HyVE) stimulation could provide two afferent streams that are independently perceived by a subject, although delivered in parallel and through the same skin location. We conducted psychophysical experiments where healthy subjects were asked to recognize the intensities of electro- and vibro-tactile stimuli during hybrid and single modality stimulations. The results demonstrated that the subjects were able to discriminate the features of the two modalities within the hybrid stimulus, and that the cross-modality interaction was limited enough to allow better transmission of discrete information (messages) using hybrid versus single modality coding. The percentages of successful recognitions (mean +/- standard deviation) for nine messages were 56 +/- 11% and 72 +/- 8% for two hybrid coding schemes, compared to 29 +/- 7% for vibrotactile and 44 +/- 4% for electrotactile coding. The HyVE can be therefore an attractive solution in numerous application for providing sensory feedback in prostheses and rehabilitation, and it could be used to increase the resolution of a single variable or to simultaneously feedback two different variables."],["dc.identifier.doi","10.1109/TNSRE.2013.2266482"],["dc.identifier.isi","000342078300010"],["dc.identifier.pmid","23782817"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34023"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee-inst Electrical Electronics Engineers Inc"],["dc.relation.issn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","HyVE: Hybrid Vibro-Electrotactile Stimulation for Sensory Feedback and Substitution in Rehabilitation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","181"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Haptics"],["dc.bibliographiccitation.lastpage","190"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","D'Alonzo, Marco"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Cipriani, Christian"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:41:31Z"],["dc.date.available","2018-11-07T09:41:31Z"],["dc.date.issued","2014"],["dc.description.abstract","An important reason for the abandonment of commercial actuated hand prostheses by the users is the lack of sensory feedback. Wearable afferent interfaces capable of providing electro- or vibro-tactile stimulation have high potential to restore the missing tactile and/or proprioceptive information to the user. By definition, these devices can elicit single modality (i.e., either vibrotactile or electrotactile) substitute sensations. In a recent research we have presented a novel approach comprising hybrid vibro-electrotactile (HyVE) combined stimulation, in order to provide multimodal sensory feedback. An important advantage of this approach is in the size of the design: the HyVE interface is much more compact than two separated single-modality interfaces, since electro- and vibro-tactile stimulators are placed one on top of the other. The HyVE approach has been previously tested in healthy subjects and has shown to provide a range of hybrid stimuli that could be properly discriminated. However, this approach has never been assessed as a method to provide multi-channel stimuli, i.e., stimuli from a variety of stimulators, mapping information from a multitude of sensors on a prosthesis. In this study, the ability of ten healthy subjects to discriminate stimuli and patterns of stimuli from four different five-channel interfaces applied on their forearms was evaluated. We showed that multiple HyVE units could be used to provide multi-channel sensory information with equivalent performance (similar to 95 percent for single stimuli and similar to 80 percent for pattern) to single modality interfaces (vibro- or electro-tactile) larger in size and with better performance than vibrotactile interfaces (i.e., 73 percent for single stimuli and 69 percent for pattern) with the same size. These results are promising in relation to the current availability of multifunctional prostheses with multiple sensors."],["dc.identifier.doi","10.1109/TOH.2013.52"],["dc.identifier.isi","000338514200009"],["dc.identifier.pmid","24968382"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33751"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee Computer Soc"],["dc.relation.issn","2329-4051"],["dc.relation.issn","1939-1412"],["dc.title","HyVE-Hybrid Vibro-Electrotactile Stimulation-Is an Efficient Approach to Multi-Channel Sensory Feedback"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","645"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","IEEE Transactions on Haptics"],["dc.bibliographiccitation.lastpage","654"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Wilke, Meike A."],["dc.contributor.author","Hartmann, Cornelia"],["dc.contributor.author","Schimpf, Felix"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2021-04-14T08:25:30Z"],["dc.date.available","2021-04-14T08:25:30Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1109/TOH.2019.2961652"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81647"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2329-4051"],["dc.relation.eissn","2334-0134"],["dc.relation.issn","1939-1412"],["dc.title","The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","498"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","507"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Markovic, Marko"],["dc.contributor.author","Varel, Marc"],["dc.contributor.author","Schweisfurth, Meike A."],["dc.contributor.author","Schilling, Arndt F."],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2021-04-14T08:27:31Z"],["dc.date.available","2021-04-14T08:27:31Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1109/TNSRE.2019.2959714"],["dc.identifier.eissn","1558-0210"],["dc.identifier.issn","1534-4320"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82316"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","Closed-Loop Multi-Amplitude Control for Robust and Dexterous Performance of Myoelectric Prosthesis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2133"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","2145"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Strbac, Matija"],["dc.contributor.author","Isakovic, Milica"],["dc.contributor.author","Belic, Minja"],["dc.contributor.author","Popovic, Igor"],["dc.contributor.author","Simanic, Igor"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Keller, Thierry"],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2020-12-10T18:26:21Z"],["dc.date.available","2020-12-10T18:26:21Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1109/TNSRE.2017.2712287"],["dc.identifier.eissn","1558-0210"],["dc.identifier.issn","1534-4320"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76052"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Short- and Long-Term Learning of Feedforward Control of a Myoelectric Prosthesis with Sensory Feedback by Amputees"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","267"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","276"],["dc.bibliographiccitation.volume","23"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Markovic, Marko"],["dc.contributor.author","Hartmann, Cornelia"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T10:00:17Z"],["dc.date.available","2018-11-07T10:00:17Z"],["dc.date.issued","2015"],["dc.description.abstract","Closing the control loop by providing sensory feedback to the user of a prosthesis is an important challenge, with major impact on the future of prosthetics. Developing and comparing closed-loop systems is a difficult task, since there are many different methods and technologies that can be used to implement each component of the system. Here, we present a test bench developed in Matlab Simulink for configuring and testing the closed-loop human control system in standardized settings. The framework comprises a set of connected generic blocks with normalized inputs and outputs, which can be customized by selecting specific implementations from a library of predefined components. The framework is modular and extensible and it can be used to configure, compare and test different closed-loop system prototypes, thereby guiding the development towards an optimal system configuration. The use of the test bench was demonstrated by investigating two important aspects of closed-loop control: performance of different electrotactile feedback interfaces (spatial versus intensity coding) during a pendulum stabilization task and feedforward methods (joystick versus myocontrol) for force control. The first experiment demonstrated that in the case of trained subjects the intensity coding might be superior to spatial coding. In the second experiment, the control of force was rather poor even with a stable and precise control interface (joystick), demonstrating that inherent characteristics of the prosthesis can be an important limiting factor when considering the overall effectiveness of the closed-loop control. The presented test bench is an important instrument for investigating different aspects of human manual control with sensory feedback."],["dc.identifier.doi","10.1109/TNSRE.2014.2371238"],["dc.identifier.isi","000351365100013"],["dc.identifier.pmid","25420268"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37769"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee-inst Electrical Electronics Engineers Inc"],["dc.relation.issn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","Sensory Feedback in Prosthetics: A Standardized Test Bench for Closed-Loop Control"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1298"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","IEEE Transactions on Robotics"],["dc.bibliographiccitation.lastpage","1312"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Mouchoux, Jeremy"],["dc.contributor.author","Carisi, Stefano"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Schilling, Arndt F."],["dc.contributor.author","Markovic, Marko"],["dc.date.accessioned","2021-09-01T06:42:04Z"],["dc.date.available","2021-09-01T06:42:04Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1109/TRO.2020.3047013"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88973"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","1941-0468"],["dc.relation.issn","1552-3098"],["dc.title","Artificial Perception and Semiautonomous Control in Myoelectric Hand Prostheses Increases Performance and Decreases Effort"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","066022"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of Neural Engineering"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Markovic, Marko"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Popovic, Dejan"],["dc.contributor.author","Graimann, Bernhard"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:47:53Z"],["dc.date.available","2018-11-07T09:47:53Z"],["dc.date.issued","2015"],["dc.description.abstract","Objective. Myoelectric activity volitionally generated by the user is often used for controlling hand prostheses in order to replicate the synergistic actions of muscles in healthy humans during grasping. Muscle synergies in healthy humans are based on the integration of visual perception, heuristics and proprioception. Here, we demonstrate how sensor fusion that combines artificial vision and proprioceptive information with the high-level processing characteristics of biological systems can be effectively used in transradial prosthesis control. Approach. We developed a novel context-and user-aware prosthesis (CASP) controller integrating computer vision and inertial sensing with myoelectric activity in order to achieve semi-autonomous and reactive control of a prosthetic hand. The presented method semiautomatically provides simultaneous and proportional control of multiple degrees-of-freedom (DOFs), thus decreasing overall physical effort while retaining full user control. The system was compared against the major commercial state-of-the art myoelectric control system in ten able-bodied and one amputee subject. All subjects used transradial prosthesis with an active wrist to grasp objects typically associated with activities of daily living. Main results. The CASP significantly outperformed the myoelectric interface when controlling all of the prosthesis DOF. However, when tested with less complex prosthetic system (smaller number of DOF), the CASP was slower but resulted with reaching motions that contained less compensatory movements. Another important finding is that the CASP system required minimal user adaptation and training. Significance. The CASP constitutes a substantial improvement for the control of multi-DOF prostheses. The application of the CASP will have a significant impact when translated to real-life scenarious, particularly with respect to improving the usability and acceptance of highly complex systems (e.g., full prosthetic arms) by amputees."],["dc.identifier.doi","10.1088/1741-2560/12/6/066022"],["dc.identifier.isi","000374884100022"],["dc.identifier.pmid","26529274"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35190"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Iop Publishing Ltd"],["dc.relation.issn","1741-2552"],["dc.relation.issn","1741-2560"],["dc.title","Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","807"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","816"],["dc.bibliographiccitation.volume","23"],["dc.contributor.author","Hartmann, Cornelia"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Amsuess, Sebastian"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:52:23Z"],["dc.date.available","2018-11-07T09:52:23Z"],["dc.date.issued","2015"],["dc.description.abstract","Electrocutaneous stimulation is a promising approach to provide sensory feedback to amputees, and thus close the loop in upper limb prosthetic systems. However, the stimulation introduces artifacts in the recorded electromyographic (EMG) signals, which may be detrimental for the control of myoelectric prostheses. In this study, artifact blanking with three data segmentation approaches was investigated as a simple method to restore the performance of pattern recognition in prosthesis control (eight motions) when EMG signals are corrupted by stimulation artifacts. The methods were tested over a range of stimulation conditions and using four feature sets, comprising both time and frequency domain features. The results demonstrated that when stimulation artifacts were present, the classification performance improved with blanking in all tested conditions. In some cases, the classification performance with blanking was at the level of the benchmark (artifact-free data). The greatest pulse duration and frequency that allowed a full performance recovery were 400 and 150 Hz, respectively. These results show that artifact blanking can be used as a practical solution to eliminate the negative influence of the stimulation artifact on EMG pattern classification in a broad range of conditions, thus allowing to close the loop in myoelectric prostheses using electrotactile feedback."],["dc.description.sponsorship","European Union under REA [286208]"],["dc.identifier.doi","10.1109/TNSRE.2014.2357175"],["dc.identifier.isi","000361317000009"],["dc.identifier.pmid","25222951"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36116"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee-inst Electrical Electronics Engineers Inc"],["dc.relation.issn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","Closed-Loop Control of Myoelectric Prostheses With Electrotactile Feedback: Influence of Stimulation Artifact and Blanking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","056015"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Journal of Neural Engineering"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Patel, Gauravkumar K."],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Castellini, Claudio"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T10:07:51Z"],["dc.date.available","2018-11-07T10:07:51Z"],["dc.date.issued","2016"],["dc.description.abstract","Objective. Closing the loop in myoelectric prostheses by providing artificial somatosensory feedback to the user is an important need for prosthetic users. Previous studies investigated feedback strategies in combination with the control of one degree of freedom of simple grippers. Modern hands, however, are sophisticated multifunction systems. In this study, we assessed multichannel electrotactile feedback integrated with an advanced method for the simultaneous and proportional control of individual fingers of a dexterous hand. Approach. The feedback used spatial and frequency coding to provide information on the finger positions (normalized flexion angles). A comprehensive set of conditions have been investigated in 28 able-bodied subjects, including feedback modalities (visual, electrotactile and no feedback), control tasks (fingers and grasps), systems (virtual and real hand), control methods (ideal and realistic) and range of motion (low and high). The task for the subjects was to operate the hand using closed-loop myoelectric control and generate the desired movement (e.g., selected finger or grasp at a specific level of closure). Main results. The subjects could perceive the multichannel and multivariable electrotactile feedback and effectively exploit it to improve the control performance with respect to open-loop grasping. The improvement however depended on the reliability of the feedforward control, with less consistent control exhibiting performance trends that were more complex across the conditions. Significance. The results are promising for the potential application of advanced feedback to close the control loop in sophisticated prosthetic systems."],["dc.identifier.doi","10.1088/1741-2560/13/5/056015"],["dc.identifier.isi","000385493200002"],["dc.identifier.pmid","27618968"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39358"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Iop Publishing Ltd"],["dc.relation.issn","1741-2552"],["dc.relation.issn","1741-2560"],["dc.title","Multichannel electrotactile feedback for simultaneous and proportional myoelectric control"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]