IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society最新文献

{"title":"Simulated feedforward neural network coordination of hand grasp and wrist angle in a neuroprosthesis.","authors":"M M Adamczyk,&nbsp;P E Crago","doi":"10.1109/86.867871","DOIUrl":"https://doi.org/10.1109/86.867871","url":null,"abstract":"<p><p>This study presents a possible solution of the general problem of coordinating muscle stimulation in a neuroprosthesis when multiarticular muscles introduce mechanical coupling between joints. In a hand-grasp neuroprosthesis, extrinsic hand muscles cross the wrist joint and introduce large wrist flexion moments during grasp. In order to control hand grasp and wrist angle independently, a controller must take the mechanical coupling into account. In simulation, we investigated the use of artificial neural networks to coordinate hand and wrist muscle stimulation. The networks were trained with data that is easily obtained experimentally. Feedforward control showed excellent hand and wrist coordination when the properties of the system were fixed and there were known external loads. Predictable disturbances (e.g., gravity acting on the hand) can be compensated by sensing arm orientation. However, since wrist angle is sensitive to unpredictable disturbances (e.g., fatigue or object weight), voluntary intervention or feedback control may be required to reduce residual errors.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 3","pages":"297-304"},"PeriodicalIF":0.0,"publicationDate":"2000-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.867871","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21833768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linear classification of low-resolution EEG patterns produced by imagined hand movements.","authors":"F Babiloni,&nbsp;F Cincotti,&nbsp;L Lazzarini,&nbsp;J Millán,&nbsp;J Mouriño,&nbsp;M Varsta,&nbsp;J Heikkonen,&nbsp;L Bianchi,&nbsp;M G Marciani","doi":"10.1109/86.847810","DOIUrl":"https://doi.org/10.1109/86.847810","url":null,"abstract":"<p><p>Electroencephalograph (EEG)-based brain-computer interfaces (BCI's) require on-line detection of mental states from spontaneous EEG signals. In this framework, surface Laplacian (SL) transformation of EEG signals has proved to improve the recognition scores of imagined motor activity. The results we obtained in the first year of an European project named adaptive brain interfaces (ABI) suggest that: 1) the detection of mental imagined activity can be obtained by using the signal space projection (SSP) method as a classifier and 2) a particular type of electrodes can be used in such a BCI device, reconciling the benefits of SL waveforms and the need for the use of few electrodes. Recognition of mental activity was attempted on both raw and SL-transformed EEG data from five healthy people performing two mental tasks, namely imagined right and left hand movements.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"186-8"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847810","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A virtual reality testbed for brain-computer interface research.","authors":"J D Bayliss,&nbsp;D H Ballard","doi":"10.1109/86.847811","DOIUrl":"https://doi.org/10.1109/86.847811","url":null,"abstract":"<p><p>Virtual reality promises to extend the realm of possible brain-computer interface (BCI) prototypes. Most of the work using electroencephalograph (EEG) signals in VR has focussed on brain-body actuated control, where biological signals from the body as well as the brain are used. We show that when subjects are allowed to move and act normally in an immersive virtual environment, cognitive evoked potential signals can still be obtained and used reliably. A single trial accuracy average of 85% for recognizing the differences between evoked potentials at red and yellow stop lights will be presented and future directions discussed.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"188-90"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847811","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative evaluation of two methods of control of bilateral stimulated hand grasps in persons with tetraplegia.","authors":"T R Scott,&nbsp;J M Heasman,&nbsp;V A Vare,&nbsp;R Y Flynn,&nbsp;C R Gschwind,&nbsp;J W Middleton,&nbsp;S B Rutkowski","doi":"10.1109/86.847827","DOIUrl":"https://doi.org/10.1109/86.847827","url":null,"abstract":"<p><p>Electrical stimulation has been applied to the paralyzed muscles of both hands of two persons with tetraplegia using percutaneous and implantable electrodes. Two separate methods of user control were being investigated. The first monitored the myoelectric signals from the user's own sternocleidomastoid muscles and the second monitored wrist joint angle. These signals were used as commands to modify the stimulated grasps. The hands were instrumented to detect the degree of hand closure and grip force and the users matched these to specific target parameters using the controller during tracking tasks. Performance in these tracking tasks was measured quantitatively. Wrist control was found to be less sensitive to the direction of hand opening/closing required than the myoelectric control. The user's performance with the myoelectric control demonstrated sensitivity to the target size and the speed of hand movement in response to the command control. The wrist controller required less training than the myoelectric controller for users to become proficient in its use. Based on these results, the wrist controller and the myoelectric controller both provide successful control of bilateral hand grasp and release. Of the two controllers, the wrist controller is likely to provide the greater ease of use, although it is only available to the population of users with active wrist extension.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"259-67"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847827","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The mental prosthesis: assessing the speed of a P300-based brain-computer interface.","authors":"E Donchin,&nbsp;K M Spencer,&nbsp;R Wijesinghe","doi":"10.1109/86.847808","DOIUrl":"https://doi.org/10.1109/86.847808","url":null,"abstract":"<p><p>We describe a study designed to assess a brain-computer interface (BCI), originally described by Farwell and Donchin [9] in 1988. The system utilizes the fact that the rare events in the oddball paradigm elicit the P300 component of the event-related potential (ERP). The BCI presents the user with a matrix of 6 by 6 cells, each containing one letter of the alphabet. The user focuses attention on the cell containing the letter to be communicated while the rows and the columns of the matrix are intensified. Each intensification is an event in the oddball sequence, the row and the column containing the attended cell are \"rare\" items and, therefore, only these events elicit a P300. The computer thus detects the transmitted character by determining which row and which column elicited the P300. We report an assessment, using a boot-strapping approach, which indicates that an off line version of the system can communicate at the rate of 7.8 characters a minute and achieve 80% accuracy. The system's performance in real time was also assessed. Our data indicate that a P300-based BCI is feasible and practical. However, these conclusions are based on tests using healthy individuals.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"174-9"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847808","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of self-movement, observation, and imagination on mu rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI).","authors":"J A Pineda,&nbsp;B Z Allison,&nbsp;A Vankov","doi":"10.1109/86.847822","DOIUrl":"https://doi.org/10.1109/86.847822","url":null,"abstract":"<p><p>Current movement-based brain-computer interfaces (BCI's) utilize spontaneous electroencephalogram (EEG) rhythms associated with movement, such as the mu rhythm, or responses time-locked to movements that are averaged across multiple trials, such as the readiness potential (RP), as control signals. In one study, we report that the mu rhythm is not only modulated by the expression of self-generated movement but also by the observation and imagination of movement. In another study, we show that simultaneous self-generated multiple limb movements exhibit properties distinct from those of single limb movements. Identification and classification of these signals with pattern recognition techniques provides the basis for the development of a practical BCI.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"219-22"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847822","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A natural basis for efficient brain-actuated control.","authors":"S Makeig,&nbsp;S Enghoff,&nbsp;T P Jung,&nbsp;T J Sejnowski","doi":"10.1109/86.847818","DOIUrl":"https://doi.org/10.1109/86.847818","url":null,"abstract":"<p><p>The prospect of noninvasive brain-actuated control of computerized screen displays or locomotive devices is of interest to many and of crucial importance to a few 'locked-in' subjects who experience near total motor paralysis while retaining sensory and mental faculties. Currently several groups are attempting to achieve brain-actuated control of screen displays using operant conditioning of particular features of the spontaneous scalp electroencephalogram (EEG) including central mu-rhythms (9-12 Hz). A new EEG decomposition technique, independent component analysis (ICA), appears to be a foundation for new research in the design of systems for detection and operant control of endogenous EEG rhythms to achieve flexible EEG-based communication. ICA separates multichannel EEG data into spatially static and temporally independent components including separate components accounting for posterior alpha rhythms and central mu activities. We demonstrate using data from a visual selective attention task that ICA-derived mu-components can show much stronger spectral reactivity to motor events than activity measures for single scalp channels. ICA decompositions of spontaneous EEG would thus appear to form a natural basis for operant conditioning to achieve efficient and multidimensional brain-actuated control in motor-limited and locked-in subjects.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"208-11"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847818","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nerve cuff recordings of muscle afferent activity from tibial and peroneal nerves in rabbit during passive ankle motion.","authors":"R R Riso,&nbsp;F K Mosallaie,&nbsp;W Jensen,&nbsp;T Sinkjaer","doi":"10.1109/86.847826","DOIUrl":"https://doi.org/10.1109/86.847826","url":null,"abstract":"Activity from muscle afferents regarding ankle kinesthesia was recorded using cuff electrodes in a rabbit preparation in which tactile input from the foot was eliminated. The purpose was to determine if such activity can provide information useful in controlling functional electrical stimulation (FES) systems that restore mobility in spinal injured man. The rabbit's ankle was passively flexed and extended while the activity of the tibial and peroneal nerves was recorded. Responses to trapezoidal stimulus profiles were investigated for excursions from 10 degrees to 60 degrees using velocities from 5 degrees/s to 30 degrees/s and different initial ankle positions. The recorded signals mainly reflect activity from primary and secondary muscle afferents. Dorsiflexion stretched the ankle extensors and produced velocity dependent activity in the tibial nerve, and this diminished to a tonic level during the stimulus plateau. The peroneal nerve was silent during dorsiflexion, but was activated by stretch of the peroneal muscles during ankle extension. The responses of the two nerves behaved in a reciprocal manner, but exhibited considerable hysteresis, since motion that relaxed the stretch to the driving muscle produced an immediate cessation of the prior stretch induced activity. A noted difference between the tibial and peroneal nerve responses is that the range of joint position change that activated the flexor afferents was greater then for the extensor afferents. Ankle rotation at higher velocities increased the dynamic stretch evoked responses during the stimulus ramp but showed no effect on the tonic activity during the stimulus plateau. Prestretching the muscles by altering the initial position increased the response to the ramp movement, however, for the peroneal nerve, when the prestretch brought the flexor muscles near to their maximal lengths, the response to additional stretch provided by the ramp movement was diminished. The results indicate that the whole nerve recorded muscle afferent activity may be useful for control of FES assisted standing, because it can indicate the direction of rotation of the passively moved ankle joint, along with coarse information regarding the rate of movement and static joint position.","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"244-58"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847826","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A commentary on brain-computer interfacing and its impact on rehabilitation science and clinical applicability.","authors":"C J Robinson","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"161-3"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The afferent neural response to electrotactile stimuli: preliminary results.","authors":"K A Kaczmarek,&nbsp;M E Tyler,&nbsp;A J Brisben,&nbsp;K O Johnson","doi":"10.1109/86.847828","DOIUrl":"https://doi.org/10.1109/86.847828","url":null,"abstract":"We recorded action potentials from three RA fibers innervating primate fingerpad, while applying electrotactile (electrocutaneous) stimulation. Negative pulses required 1.3-1.5 times more current than positive ones for entrainment. The strength-duration time constant was approximately 151 micros. Suprathreshold sinusoidal vibration synchronized to 30-Hz electrotactile pulses changed the electrotactile entrainment current slightly, indicating a possible electrical-mechanical transduction interaction.","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"268-70"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21738171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}