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

{"title":"Applications of cortical signals to neuroprosthetic control: a critical review.","authors":"R T Lauer,&nbsp;P H Peckham,&nbsp;K L Kilgore,&nbsp;W J Heetderks","doi":"10.1109/86.847817","DOIUrl":"https://doi.org/10.1109/86.847817","url":null,"abstract":"<p><p>Cortical signals might provide a potential means of interfacing with a neuroprosthesis. Guidelines regarding the necessary control features in terms of both performance characteristics and user requirements are presented, and their implications for the design of a first generation cortical control interface for a neuroprosthesis are 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":"205-8"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847817","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736846","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":"Brain-computer interface technology: a review of the first international meeting.","authors":"J R Wolpaw,&nbsp;N Birbaumer,&nbsp;W J Heetderks,&nbsp;D J McFarland,&nbsp;P H Peckham,&nbsp;G Schalk,&nbsp;E Donchin,&nbsp;L A Quatrano,&nbsp;C J Robinson,&nbsp;T M Vaughan","doi":"10.1109/tre.2000.847807","DOIUrl":"https://doi.org/10.1109/tre.2000.847807","url":null,"abstract":"<p><p>Over the past decade, many laboratories have begun to explore brain-computer interface (BCI) technology as a radically new communication option for those with neuromuscular impairments that prevent them from using conventional augmentative communication methods. BCI's provide these users with communication channels that do not depend on peripheral nerves and muscles. This article summarizes the first international meeting devoted to BCI research and development. Current BCI's use electroencephalographic (EEG) activity recorded at the scalp or single-unit activity recorded from within cortex to control cursor movement, select letters or icons, or operate a neuroprosthesis. The central element in each BCI is a translation algorithm that converts electrophysiological input from the user into output that controls external devices. BCI operation depends on effective interaction between two adaptive controllers, the user who encodes his or her commands in the electrophysiological input provided to the BCI, and the BCI which recognizes the commands contained in the input and expresses them in device control. Current BCI's have maximum information transfer rates of 5-25 b/min. Achievement of greater speed and accuracy depends on improvements in signal processing, translation algorithms, and user training. These improvements depend on increased interdisciplinary cooperation between neuroscientists, engineers, computer programmers, psychologists, and rehabilitation specialists, and on adoption and widespread application of objective methods for evaluating alternative methods. The practical use of BCI technology depends on the development of appropriate applications, identification of appropriate user groups, and careful attention to the needs and desires of individual users. BCI research and development will also benefit from greater emphasis on peer-reviewed publications, and from adoption of standard venues for presentations and discussion.</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":"164-73"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/tre.2000.847807","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737743","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":"Direct control of a computer from the human central nervous system.","authors":"P R Kennedy,&nbsp;R A Bakay,&nbsp;M M Moore,&nbsp;K Adams,&nbsp;J Goldwaithe","doi":"10.1109/86.847815","DOIUrl":"https://doi.org/10.1109/86.847815","url":null,"abstract":"<p><p>We describe an invasive alternative to externally applied brain-computer interface (BCI) devices. This system requires implantation of a special electrode into the outer layers of the human neocortex. The recorded signals are transmitted to a nearby receiver and processed to drive a cursor on a computer monitor in front of the patient. Our present patient has learned to control the cursor for the production of synthetic speech and typing.</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":"198-202"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847815","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736844","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 direct brain interface based on event-related potentials.","authors":"S P Levine,&nbsp;J E Huggins,&nbsp;S L BeMent,&nbsp;R K Kushwaha,&nbsp;L A Schuh,&nbsp;M M Rohde,&nbsp;E A Passaro,&nbsp;D A Ross,&nbsp;K V Elisevich,&nbsp;B J Smith","doi":"10.1109/86.847809","DOIUrl":"https://doi.org/10.1109/86.847809","url":null,"abstract":"<p><p>Cross-correlation between a trigger-averaged event-related potential (ERP) template and continuous electrocorticogram was used to detect movement-related ERP's. The accuracy of ERP detection for the five best subjects (of 17 studied), had hit percentages >90% and false positive percentages <10%. These cases were considered appropriate for operation of a direct brain interface.</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":"180-5"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847809","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737745","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":"Cycling by means of functional electrical stimulation.","authors":"M Gföhler,&nbsp;P Lugner","doi":"10.1109/86.847825","DOIUrl":"https://doi.org/10.1109/86.847825","url":null,"abstract":"<p><p>The goal of this paper was the development of an optimized stimulation pattern of leg muscles that would allow paraplegic subjects to perform the movement of pedaling and thereby to drive a tricycle by means of functional electrical stimulation (FES). To obtain maximum average power output with minimum muscle force, the start, duration and amplitude of the stimulation signal applied to the individual muscles had to be optimized depending on the pedaling frequency. For the basic theoretical investigations the rider-tricycle system was modeled as a rigid body system on which the muscle forces are applied as joint moments. The muscles gluteus maximus, rectus femoris, vastii, and hamstrings were stimulated and the passive forces of some other muscles were considered. The modeling and simulation approach was then used to produce maximum power pedaling and steady-state pedaling at 35 rpm. Hamstrings (41.9%) and vastii (35.8%) were the primary contributors to the optimization cost function of maximum power with minimum muscle loading. Based on these theoretical investigations an efficient stimulation pattern could be provided, taking into account the realistic possibilities of today's practical applications.</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":"233-43"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847825","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737558","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 thought translation device (TTD) for completely paralyzed patients.","authors":"N Birbaumer,&nbsp;A Kübler,&nbsp;N Ghanayim,&nbsp;T Hinterberger,&nbsp;J Perelmouter,&nbsp;J Kaiser,&nbsp;I Iversen,&nbsp;B Kotchoubey,&nbsp;N Neumann,&nbsp;H Flor","doi":"10.1109/86.847812","DOIUrl":"https://doi.org/10.1109/86.847812","url":null,"abstract":"<p><p>The thought translation device trains locked-in patients to self-regulate slow cortical potentials (SCP's) of their electroencephalogram (EEG). After operant learning of SCP self-control, patients select letters, words or pictograms in a computerized language support program. Results of five respirated, locked-in-patients are described, demonstrating the usefulness of the thought translation device as an alternative communication channel in motivated totally paralyzed patients with amyotrophic lateral sclerosis.</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":"190-3"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847812","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736841","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":"Current trends in Graz Brain-Computer Interface (BCI) research.","authors":"G Pfurtscheller,&nbsp;C Neuper,&nbsp;C Guger,&nbsp;W Harkam,&nbsp;H Ramoser,&nbsp;A Schlögl,&nbsp;B Obermaier,&nbsp;M Pregenzer","doi":"10.1109/86.847821","DOIUrl":"https://doi.org/10.1109/86.847821","url":null,"abstract":"<p><p>This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mental imagination of specific movements are classified on-line and used e.g. for cursor control. In a number of on-line experiments, various methods for EEG feature extraction and classification have been evaluated.</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":"216-9"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847821","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737554","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":"Brain-computer interface research at the Neil Squire Foundation.","authors":"G E Birch,&nbsp;S G Mason","doi":"10.1109/86.847813","DOIUrl":"https://doi.org/10.1109/86.847813","url":null,"abstract":"<p><p>The ultimate goal of our research is to utilize voluntary motor-related potentials recorded from the scalp in a direct Brain Computer Interface for asynchronous control applications. This type of interface will allow an individual with a high-level impairment to have effective and sophisticated control of devices such as wheelchairs, robotic assistive appliances, computers, and neural prostheses.</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":"193-5"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736842","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":"Work toward real-time control of a cortical neural prothesis.","authors":"R E Isaacs,&nbsp;D J Weber,&nbsp;A B Schwartz","doi":"10.1109/86.847814","DOIUrl":"https://doi.org/10.1109/86.847814","url":null,"abstract":"<p><p>Implantable devices that interact directly with the human nervous system have been gaining acceptance in the field of medicine since the 1960's. More recently, as is noted by the FDA approval of a deep brain stimulator for movement disorders, interest has shifted toward direct communication with the central nervous system (CNS). Deep brain stimulation (DBS) can have a remarkable effect on the lives of those with certain types of disabilities such as Parkinson's disease, Essential Tremor, and dystonia. To correct for many of the motor impairments not treatable by DBS (e.g. quadriplegia), it would be desirable to extract from the CNS a control signal for movement. A direct interface with motor cortical neurons could provide an optimal signal for restoring movement. In order to accomplish this, a real-time conversion of simultaneously recorded neural activity to an online command for movement is required. A system has been established to isolate the cellular activity of a group of motor neurons and interpret their movement-related information with a minimal delay. The real-time interpretation of cortical activity on a millisecond time scale provides an integral first step in the development of a direct brain-computer interface (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":"196-8"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847814","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21736843","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":"Brain-computer interface research at the Wadsworth Center.","authors":"J R Wolpaw,&nbsp;D J McFarland,&nbsp;T M Vaughan","doi":"10.1109/86.847823","DOIUrl":"https://doi.org/10.1109/86.847823","url":null,"abstract":"<p><p>Studies at the Wadsworth Center over the past 14 years have shown that people with or without motor disabilities can learn to control the amplitude of mu or beta rhythms in electroencephalographic (EEG) activity recorded from the scalp over sensorimotor cortex and can use that control to move a cursor on a computer screen in one or two dimensions. This EEG-based brain-computer interface (BCI) could provide a new augmentative communication technology for those who are totally paralyzed or have other severe motor impairments. Present research focuses on improving the speed and accuracy of BCI communication.</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":"222-6"},"PeriodicalIF":0.0,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847823","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"21737556","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}