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Paul AP, Nayak K, Sydnor LC, Kalantaryardebily N, Parcetich KM, Miner DG, Wafford QE, Sullivan JE, Gurari N. A scoping review on examination approaches for identifying tactile deficits at the upper extremity in individuals with stroke. J Neuroeng Rehabil 2024; 21:99. [PMID: 38851741 PMCID: PMC11162071 DOI: 10.1186/s12984-024-01397-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/31/2024] [Indexed: 06/10/2024] Open
Abstract
PURPOSE Accurate perception of tactile stimuli is essential for performing and learning activities of daily living. Through this scoping review, we sought to summarize existing examination approaches for identifying tactile deficits at the upper extremity in individuals with stroke. The goal was to identify current limitations and future research needs for designing more comprehensive examination tools. METHODS A scoping review was conducted in accordance with the Joanna Briggs Institute methodological framework and the PRISMA for Scoping Reviews (PRISMA-ScR) guidelines. A database search for tactile examination approaches at the upper extremity of individuals with stroke was conducted using Medline (Ovid), The Cochrane Library (Wiley), CINAHL Plus with Full Text (Ebsco), Scopus (Elsevier), PsycInfo (Ebsco), and Proquest Dissertations and Theses Global. Original research and review articles that involved adults (18 years or older) with stroke, and performed tactile examinations at the upper extremity were eligible for inclusion. Data items extracted from the selected articles included: if the examination was behavioral in nature and involved neuroimaging, the extent to which the arm participated during the examination, the number of possible outcomes of the examination, the type(s) of tactile stimulation equipment used, the location(s) along the arm examined, the peripheral nerves targeted for examination, and if any comparison was made with the non-paretic arm or with the arms of individuals who are neurotypical. RESULTS Twenty-two articles met the inclusion criteria and were accepted in this review. Most examination approaches were behavioral in nature and involved self-reporting of whether a tactile stimulus was felt while the arm remained passive (i.e., no volitional muscle activity). Typically, the number of possible outcomes with these behavioral approaches were limited (2-3), whereas the neuroimaging approaches had many more possible outcomes ( > 15 ). Tactile examinations were conducted mostly at the distal locations along the arm (finger or hand) without targeting any specific peripheral nerve. Although a majority of articles compared paretic and non-paretic arms, most did not compare outcomes to a control group of individuals who are neurotypical. DISCUSSION Our findings noted that most upper extremity tactile examinations are behavioral approaches, which are subjective in nature, lack adequate resolution, and are insufficient to identify the underlying neural mechanisms of tactile deficits. Also, most examinations are administered at distal locations of the upper extremity when the examinee's arm is relaxed (passive). Further research is needed to develop better tactile examination tools that combine behavioral responses and neurophysiological outcomes, and allow volitional tactile exploration. Approaches that include testing of multiple body locations/nerves along the upper extremity, provide higher resolution of outcomes, and consider normative comparisons with individuals who are neurotypical may provide a more comprehensive understanding of the tactile deficits occurring following a stroke.
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Affiliation(s)
- Arco P Paul
- Physical Therapy, Radford University, Radford, Virginia, USA
| | - Karan Nayak
- Neuroscience, Northwestern University, Evanston, Illinois, USA
| | | | | | | | - Daniel G Miner
- Physical Therapy, Radford University, Radford, Virginia, USA
| | - Q Eileen Wafford
- Galter Health Sciences Library & Learning Center, Northwestern University, Evanston, Illinois, USA
| | - Jane E Sullivan
- Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois, USA
| | - Netta Gurari
- Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia, USA.
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Villar Ortega E, Buetler KA, Aksöz EA, Marchal-Crespo L. Enhancing touch sensibility with sensory electrical stimulation and sensory retraining. J Neuroeng Rehabil 2024; 21:79. [PMID: 38750521 PMCID: PMC11096118 DOI: 10.1186/s12984-024-01371-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 05/08/2024] [Indexed: 05/18/2024] Open
Abstract
A large proportion of stroke survivors suffer from sensory loss, negatively impacting their independence, quality of life, and neurorehabilitation prognosis. Despite the high prevalence of somatosensory impairments, our understanding of somatosensory interventions such as sensory electrical stimulation (SES) in neurorehabilitation is limited. We aimed to study the effectiveness of SES combined with a sensory discrimination task in a well-controlled virtual environment in healthy participants, setting a foundation for its potential application in stroke rehabilitation. We employed electroencephalography (EEG) to gain a better understanding of the underlying neural mechanisms and dynamics associated with sensory training and SES. We conducted a single-session experiment with 26 healthy participants who explored a set of three visually identical virtual textures-haptically rendered by a robotic device and that differed in their spatial period-while physically guided by the robot to identify the odd texture. The experiment consisted of three phases: pre-intervention, intervention, and post-intervention. Half the participants received subthreshold whole-hand SES during the intervention, while the other half received sham stimulation. We evaluated changes in task performance-assessed by the probability of correct responses-before and after intervention and between groups. We also evaluated differences in the exploration behavior, e.g., scanning speed. EEG was employed to examine the effects of the intervention on brain activity, particularly in the alpha frequency band (8-13 Hz) associated with sensory processing. We found that participants in the SES group improved their task performance after intervention and their scanning speed during and after intervention, while the sham group did not improve their task performance. However, the differences in task performance improvements between groups only approached significance. Furthermore, we found that alpha power was sensitive to the effects of SES; participants in the stimulation group exhibited enhanced brain signals associated with improved touch sensitivity likely due to the effects of SES on the central nervous system, while the increase in alpha power for the sham group was less pronounced. Our findings suggest that SES enhances texture discrimination after training and has a positive effect on sensory-related brain areas. Further research involving brain-injured patients is needed to confirm the potential benefit of our solution in neurorehabilitation.
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Affiliation(s)
- Eduardo Villar Ortega
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Karin A Buetler
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Efe Anil Aksöz
- rehaLab-The Laboratory for Rehabilitation Engineering, Institute for Human Centred Engineering HuCE, Division of Mechatronics and Systems Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Biel, Switzerland
| | - Laura Marchal-Crespo
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
- Department of Cognitive Robotics, Delft University of Technology, Delft, The Netherlands.
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
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Shah VA, Thomas A, Mrotek LA, Casadio M, Scheidt RA. Extended training improves the accuracy and efficiency of goal-directed reaching guided by supplemental kinesthetic vibrotactile feedback. Exp Brain Res 2023; 241:479-493. [PMID: 36576510 PMCID: PMC10204582 DOI: 10.1007/s00221-022-06533-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 12/15/2022] [Indexed: 12/29/2022]
Abstract
Prior studies have shown that the accuracy and efficiency of reaching can be improved using novel sensory interfaces to apply task-specific vibrotactile feedback (VTF) during movement. However, those studies have typically evaluated performance after less than 1 h of training using VTF. Here, we tested the effects of extended training using a specific form of vibrotactile cues-supplemental kinesthetic VTF-on the accuracy and temporal efficiency of goal-directed reaching. Healthy young adults performed planar reaching with VTF encoding of the moving hand's instantaneous position, applied to the non-moving arm. We compared target capture errors and movement times before, during, and after approximately 10 h (20 sessions) of training on the VTF-guided reaching task. Initial performance of VTF-guided reaching showed that people were able to use supplemental VTF to improve reaching accuracy. Performance improvements were retained from one training session to the next. After 20 sessions of training, the accuracy and temporal efficiency of VTF-guided reaching were equivalent to or better than reaches performed with only proprioception. However, hand paths during VTF-guided reaching exhibited a persistent strategy where movements were decomposed into discrete sub-movements along the cardinal axes of the VTF display. We also used a dual-task condition to assess the extent to which performance gains in VTF-guided reaching resist dual-task interference. Dual-tasking capability improved over the 20 sessions, such that the primary VTF-guided reaching and a secondary choice reaction time task were performed with increasing concurrency. Thus, VTF-guided reaching is a learnable skill in young adults, who can achieve levels of accuracy and temporal efficiency equaling or exceeding those observed during movements guided only by proprioception. Future studies are warranted to explore learnability in older adults and patients with proprioceptive deficits, who might benefit from using wearable sensory augmentation technologies to enhance control of arm movements.
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Affiliation(s)
- Valay A Shah
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, 53233, USA.
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32611, USA.
- DIBRIS, University of Genova, 16145, Genoa, Italy.
| | - Ashiya Thomas
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, 53233, USA
| | - Leigh A Mrotek
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, 53233, USA
| | - Maura Casadio
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, 53233, USA
- DIBRIS, University of Genova, 16145, Genoa, Italy
| | - Robert A Scheidt
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, 53233, USA
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Du Q, Luo J, Cheng Q, Wang Y, Guo S. Vibrotactile enhancement in hand rehabilitation has a reinforcing effect on sensorimotor brain activities. Front Neurosci 2022; 16:935827. [PMID: 36267238 PMCID: PMC9577243 DOI: 10.3389/fnins.2022.935827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Stroke patients often suffer from hand dysfunction or loss of tactile perception, which in turn interferes with hand rehabilitation. Tactile-enhanced multi-sensory feedback rehabilitation is an approach worth considering, but its effectiveness has not been well studied. By using functional near-infrared spectroscopy (fNIRS) to analyze the causal activity patterns in the sensorimotor cortex, the present study aims to investigate the cortical hemodynamic effects of hand rehabilitation training when tactile stimulation is applied, and to provide a basis for rehabilitation program development. Methods A vibrotactile enhanced pneumatically actuated hand rehabilitation device was tested on the less-preferred hand of 14 healthy right-handed subjects. The training tasks consisted of move hand and observe video (MO), move hand and vibration stimulation (MV), move hand, observe video, and vibration stimulation (MOV), and a contrast resting task. Region of interest (ROI), a laterality index (LI), and causal brain network analysis methods were used to explore the brain’s cortical blood flow response to a multi-sensory feedback rehabilitation task from multiple perspectives. Results (1) A more pronounced contralateral activation in the right-brain region occurred under the MOV stimulation. Rehabilitation tasks containing vibrotactile enhancement (MV and MOV) had significantly more oxyhemoglobin than the MO task at 5 s after the task starts, indicating faster contralateral activation in sensorimotor brain regions. (2) Five significant lateralized channel connections were generated under the MV and MOV tasks (p < 0.05), one significant lateralized channel connection was generated by the MO task, and the Rest were not, showing that MV and MOV caused stronger lateralization activation. (3) We investigated all thresholds of granger causality (GC) resulting in consistent relative numbers of effect connections. MV elicited stronger causal interactions between the left and right cerebral hemispheres, and at the GC threshold of 0.4, there were 13 causal network connection pairs for MV, 7 for MO, and 9 for MOV. Conclusion Vibrotactile cutaneous stimulation as a tactile enhancement can produce a stronger stimulation of the brain’s sensorimotor brain areas, promoting the establishment of neural pathways, and causing a richer effect between the left and right cerebral hemispheres. The combination of kinesthetic, vibrotactile, and visual stimulation can achieve a more prominent training efficiency from the perspective of functional cerebral hemodynamics.
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Affiliation(s)
- Qiang Du
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
- Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China
| | - Jingjing Luo
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
- Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China
- Jihua Laboratory, Foshan, China
- *Correspondence: Jingjing Luo,
| | - Qiying Cheng
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
- Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China
| | - Youhao Wang
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
- Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China
| | - Shijie Guo
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
- Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China
- Department of the State Key Laboratory of Reliability and Intelligence of Electrical Equipment and the Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, Tianjin, China
- Shijie Guo,
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Villar Ortega E, Aksöz EA, Buetler KA, Marchal-Crespo L. Enhancing touch sensibility by sensory retraining in a sensory discrimination task via haptic rendering. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:929431. [PMID: 36189030 PMCID: PMC9397824 DOI: 10.3389/fresc.2022.929431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/07/2022] [Indexed: 11/22/2022]
Abstract
Stroke survivors are commonly affected by somatosensory impairment, hampering their ability to interpret somatosensory information. Somatosensory information has been shown to critically support movement execution in healthy individuals and stroke survivors. Despite the detrimental effect of somatosensory impairments on performing activities of daily living, somatosensory training—in stark contrast to motor training—does not represent standard care in neurorehabilitation. Reasons for the neglected somatosensory treatment are the lack of high-quality research demonstrating the benefits of somatosensory interventions on stroke recovery, the unavailability of reliable quantitative assessments of sensorimotor deficits, and the labor-intensive nature of somatosensory training that relies on therapists guiding the hands of patients with motor impairments. To address this clinical need, we developed a virtual reality-based robotic texture discrimination task to assess and train touch sensibility. Our system incorporates the possibility to robotically guide the participants' hands during texture exploration (i.e., passive touch) and no-guided free texture exploration (i.e., active touch). We ran a 3-day experiment with thirty-six healthy participants who were asked to discriminate the odd texture among three visually identical textures –haptically rendered with the robotic device– following the method of constant stimuli. All participants trained with the passive and active conditions in randomized order on different days. We investigated the reliability of our system using the Intraclass Correlation Coefficient (ICC). We also evaluated the enhancement of participants' touch sensibility via somatosensory retraining and compared whether this enhancement differed between training with active vs. passive conditions. Our results showed that participants significantly improved their task performance after training. Moreover, we found that training effects were not significantly different between active and passive conditions, yet, passive exploration seemed to increase participants' perceived competence. The reliability of our system ranged from poor (in active condition) to moderate and good (in passive condition), probably due to the dependence of the ICC on the between-subject variability, which in a healthy population is usually small. Together, our virtual reality-based robotic haptic system may be a key asset for evaluating and retraining sensory loss with minimal supervision, especially for brain-injured patients who require guidance to move their hands.
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Affiliation(s)
- Eduardo Villar Ortega
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- *Correspondence: Eduardo Villar Ortega
| | - Efe Anil Aksöz
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- Division of Mechanical Engineering, Department of Engineering and Information Technology, Institute for Rehabilitation and Performance Technology, Bern University of Applied Sciences, Burgdorf, Switzerland
| | - Karin A. Buetler
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Laura Marchal-Crespo
- Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- Department of Cognitive Robotics, Delft University of Technology, Delft, Netherlands
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Development and Validation of a Novel Robot-Based Assessment of Upper Limb Sensory Processing in Chronic Stroke. Brain Sci 2022; 12:brainsci12081005. [PMID: 36009069 PMCID: PMC9406163 DOI: 10.3390/brainsci12081005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 02/04/2023] Open
Abstract
Upper limb sensory processing deficits are common in the chronic phase after stroke and are associated with decreased functional performance. Yet, current clinical assessments show suboptimal psychometric properties. Our aim was to develop and validate a novel robot-based assessment of sensory processing. We assessed 60 healthy participants and 20 participants with chronic stroke using existing clinical and robot-based assessments of sensorimotor function. In addition, sensory processing was evaluated with a new evaluation protocol, using a bimanual planar robot, through passive or active exploration, reproduction and identification of 15 geometrical shapes. The discriminative validity of this novel assessment was evaluated by comparing the performance between healthy participants and participants with stroke, and the convergent validity was evaluated by calculating the correlation coefficients with existing assessments for people with stroke. The results showed that participants with stroke showed a significantly worse sensory processing ability than healthy participants (passive condition: p = 0.028, Hedges’ g = 0.58; active condition: p = 0.012, Hedges’ g = 0.73), as shown by the less accurate reproduction and identification of shapes. The novel assessment showed moderate to high correlations with the tactile discrimination test: a sensitive clinical assessment of sensory processing (r = 0.52–0.71). We conclude that the novel robot-based sensory processing assessment shows good discriminant and convergent validity for use in participants with chronic stroke.
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Hustvedt S. Umbilical phantoms. THE INTERNATIONAL JOURNAL OF PSYCHOANALYSIS 2022; 103:368-380. [PMID: 35440273 DOI: 10.1080/00207578.2021.2014118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Handelzalts S, Ballardini G, Avraham C, Pagano M, Casadio M, Nisky I. Integrating Tactile Feedback Technologies Into Home-Based Telerehabilitation: Opportunities and Challenges in Light of COVID-19 Pandemic. Front Neurorobot 2021; 15:617636. [PMID: 33679364 PMCID: PMC7925397 DOI: 10.3389/fnbot.2021.617636] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/07/2021] [Indexed: 12/02/2022] Open
Abstract
The COVID-19 pandemic has highlighted the need for advancing the development and implementation of novel means for home-based telerehabilitation in order to enable remote assessment and training for individuals with disabling conditions in need of therapy. While somatosensory input is essential for motor function, to date, most telerehabilitation therapies and technologies focus on assessing and training motor impairments, while the somatosensorial aspect is largely neglected. The integration of tactile devices into home-based rehabilitation practice has the potential to enhance the recovery of sensorimotor impairments and to promote functional gains through practice in an enriched environment with augmented tactile feedback and haptic interactions. In the current review, we outline the clinical approaches for stimulating somatosensation in home-based telerehabilitation and review the existing technologies for conveying mechanical tactile feedback (i.e., vibration, stretch, pressure, and mid-air stimulations). We focus on tactile feedback technologies that can be integrated into home-based practice due to their relatively low cost, compact size, and lightweight. The advantages and opportunities, as well as the long-term challenges and gaps with regards to implementing these technologies into home-based telerehabilitation, are discussed.
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Affiliation(s)
- Shirley Handelzalts
- Department of Physical Therapy, Ben-Gurion University of the Negev, Be'er Sheva, Israel
- The Translational Neurorehabilitation Lab at Adi Negev Nahalat Eran, Ofakim, Israel
| | - Giulia Ballardini
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
- S.C.I.L Joint Lab, Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), Santa Corona Hospital, Pietra Ligure, Italy
| | - Chen Avraham
- Department of Biomedical Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Mattia Pagano
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
- S.C.I.L Joint Lab, Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), Santa Corona Hospital, Pietra Ligure, Italy
| | - Maura Casadio
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
- S.C.I.L Joint Lab, Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), Santa Corona Hospital, Pietra Ligure, Italy
| | - Ilana Nisky
- The Translational Neurorehabilitation Lab at Adi Negev Nahalat Eran, Ofakim, Israel
- Department of Biomedical Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er Sheva, Israel
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Huang W, Wang C, Jia H. Braille and Morse Code Based Tactile Information Coding and its Applications. INT J PATTERN RECOGN 2020. [DOI: 10.1142/s0218001421500142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Tactile sensing has recently been used in pattern recognition technology for pilots’ posture information and environmental information. Human tactile sensing is limited, however, through control of the spatial distribution and vibration intensity of each contact in the tactile stimulation array, the accuracy, convenience, and comfort of the tactile device can be comprehensively improved. Moreover, the recognition rate of most current flight posture information methods is low. In this paper, the principle of vibration haptic coding is optimized. A combined coding scheme of “vibration [Formula: see text] sequence” is used to recognize pilot’s flight posture. A novel triangular coding scheme is proposed for the first time. Compared to other commonly used coding schemes such as “needle scheme“ and “rectangle scheme”, experimental results show that the triangular coding scheme is 1.5% more accuracy with response time reduced by nearly 1.25s in recognition pilots’ flight posture information.
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Affiliation(s)
- Wenbo Huang
- Xi’an Technological University, Shaanxi, P. R. China
| | | | - Hongbo Jia
- Air Force Institute of Aeronautical Medicine, Fourth Military Medical University, Shaanxi, P. R. China
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10
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Avraham C, Nisky I. The effect of tactile augmentation on manipulation and grip force control during force-field adaptation. J Neuroeng Rehabil 2020; 17:17. [PMID: 32046743 PMCID: PMC7014637 DOI: 10.1186/s12984-020-0649-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 01/21/2020] [Indexed: 01/11/2023] Open
Abstract
Background When exposed to a novel dynamic perturbation, participants adapt by changing their movements’ dynamics. This adaptation is achieved by constructing an internal representation of the perturbation, which allows for applying forces that compensate for the novel external conditions. To form an internal representation, the sensorimotor system gathers and integrates sensory inputs, including kinesthetic and tactile information about the external load. The relative contribution of the kinesthetic and tactile information in force-field adaptation is poorly understood. Methods In this study, we set out to establish the effect of augmented tactile information on adaptation to force-field. Two groups of participants received a velocity-dependent tangential skin deformation from a custom-built skin-stretch device together with a velocity-dependent force-field from a kinesthetic haptic device. One group experienced a skin deformation in the same direction of the force, and the other in the opposite direction. A third group received only the velocity-dependent force-field. Results We found that adding a skin deformation did not affect the kinematics of the movement during adaptation. However, participants who received skin deformation in the opposite direction adapted their manipulation forces faster and to a greater extent than those who received skin deformation in the same direction of the force. In addition, we found that skin deformation in the same direction to the force-field caused an increase in the applied grip-force per amount of load force, both in response and in anticipation of the stretch, compared to the other two groups. Conclusions Augmented tactile information affects the internal representations for the control of manipulation and grip forces, and these internal representations are likely updated via distinct mechanisms. We discuss the implications of these results for assistive and rehabilitation devices.
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Affiliation(s)
- Chen Avraham
- Biomedical Engineering, Ben-Gurion University of the Negev, 8410501, Be'er Sheva, Israel.,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, 8410501, Be'er Sheva, Israel
| | - Ilana Nisky
- Biomedical Engineering, Ben-Gurion University of the Negev, 8410501, Be'er Sheva, Israel. .,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, 8410501, Be'er Sheva, Israel.
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Risi N, Shah V, Mrotek LA, Casadio M, Scheidt RA. Supplemental vibrotactile feedback of real-time limb position enhances precision of goal-directed reaching. J Neurophysiol 2019; 122:22-38. [PMID: 30995149 DOI: 10.1152/jn.00337.2018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
We examined vibrotactile stimulation as a form of supplemental limb state feedback to enhance planning and ongoing control of goal-directed movements. Subjects wore a two-dimensional vibrotactile display on their nondominant arm while performing horizontal planar reaching with the dominant arm. The vibrotactile display provided feedback of hand position such that small hand displacements were more easily discriminable using vibrotactile feedback than with intrinsic proprioceptive feedback. When subjects relied solely on proprioception to capture visuospatial targets, performance was degraded by proprioceptive drift and an expansion of task space. By contrast, reach accuracy was enhanced immediately when subjects were provided vibrotactile feedback and further improved over 2 days of training. Improvements reflected resolution of proprioceptive drift, which occurred only when vibrotactile feedback was active, demonstrating that benefits of vibrotactile feedback are due, in part to its integration into the ongoing control of movement. A partial resolution of task space expansion persisted even when vibrotactile feedback was inactive, demonstrating that training with vibrotactile feedback also induced changes in movement planning. However, the benefits of vibrotactile feedback come at a cognitive cost. All subjects adopted a stereotyped strategy wherein they attempted to capture targets by moving first along one axis of the vibrotactile display and then the other. For most subjects, this inefficient approach did not resolve over two bouts of training performed on separate days, suggesting that additional training is needed to integrate vibrotactile feedback into the planning and online control of goal-directed reaching in a way that promotes smooth and efficient movement. NEW & NOTEWORTHY A two-dimensional vibrotactile display provided state (not error) feedback to enhance control of a moving limb. Subjects learned to use state feedback to perform blind reaches with accuracy and precision exceeding that attained using intrinsic proprioception alone. Feedback utilization incurred substantial cognitive cost: subjects moved first along one axis of the vibrotactile display, then the other. This stereotyped control strategy must be overcome if vibrotactile limb state feedback is to promote naturalistic limb movements.
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Affiliation(s)
- Nicoletta Risi
- Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin , Milwaukee, Wisconsin.,Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova , Genoa , Italy
| | - Valay Shah
- Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Leigh A Mrotek
- Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Maura Casadio
- Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin , Milwaukee, Wisconsin.,Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova , Genoa , Italy.,Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Robert A Scheidt
- Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin , Milwaukee, Wisconsin.,Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine , Chicago, Illinois.,Division of Civil, Mechanical and Manufacturing Innovation, National Science Foundation , Alexandria, Virginia
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