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Design and evaluation of a sensory feedback system that provides grasping pressure in a myoelectric hand
Abstract
Providing accurate sensory information to the individual with a myoelectric limb is of great importance for improving device use in a wide variety of tasks. A number of feedback systems presently being investigated rely on either vibrotactile or electrotactile skin stimulation, which does not provide sensory patterns similar to those in a natural grasping hand. A prototype system was developed to enhance sensory information transfer by using a technique in which the feedback modality (pressure) was the same as the grasping pressure. The present study compared the developed system (pressure) with vibrotactile feedback, vision, and compounds of these three modes. It was found that the pressure-pressure concept reduced grasping pressure replication errors and error variability.
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“This technique may be superior to vibro-tactile substitution in that it reduces the grasping force error of prostheses, thereby providing more accurate spatial sensory information (Patterson and Katz, 1992; Antfolk et al., 2013a).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Patterson and Katz, 1992
Citations
Cites
Relation of cue to consequence in avoidance learning
García, J., & Koelling, R. A. (1966) · Psychonomic Science · doi:10.3758/bf03342209 · Cited by 2,006
On the generality of the laws of learning.
Seligman, M. E. (1970) · Psychological Review · doi:10.1037/h0029790 · Cited by 1,744
THE PSYCHOLOGY OF WANTS, INTERESTS AND ATTITUDES
Thorndike Edward, L. (1936) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-193610000-00051 · Cited by 163
Extended physiologic taction: design and evaluation of a proportional force feedback system.
Meek, S. G., Jacobsen, S. C., & Goulding, P. P. (1989) · PubMed · Cited by 116
Solomonow, M., Lyman, J., & Freedy, A. (1977) · Annals of Biomedical Engineering · doi:10.1007/bf02409338 · Cited by 111
Sensory-feedback system compatible with myoelectric control
Scott, R. N., Brittain, R. H., Caldwell, R. R., Cameron, A. B., & Dunfield, V. A. (1980) · Medical & Biological Engineering & Computing · doi:10.1007/bf02442481 · Cited by 93
A myoelectrically-controlled prosthesis with sensory feedback
Shannon, G. F. (1979) · Medical & Biological Engineering & Computing · doi:10.1007/bf02440956 · Cited by 92
A comparison of alternative means of providing sensory feedback on upper limb prostheses
Shannon, G. F. (1976) · Medical & Biological Engineering & Computing · doi:10.1007/bf02478123 · Cited by 91
Artificial touch in a hand-prosthesis
Beeker, T. W., During, J., & den Hertog, A. (1967) · Medical & Biological Engineering & Computing · doi:10.1007/bf02478841 · Cited by 55
Powered Limb Prostheses: Their Clinical Significance
Childress, D. S. (1973) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1973.324273 · Cited by 48
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PHANTOM LIMB SENSORY FEEDBACK THROUGH NERVE TRANSFER SURGERY
Sensinger, J. W., Kuiken, T., Farrell, T. R., & Weir, R. F. F. (2005) · DukeSpace (Duke University) · Cited by 7
Birnbaum, D. (2007) · eScholarship@McGill (McGill) · doi:10.82308/40786 · Cited by 7
Yoshikawa, D., Kawamoto, H., & Sankai, Y. (2019) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2019.8914074 · Cited by 6
Basic study of vibrotactile sensory feedback system for biomimetic powered-prosthetic hand
Okuno, R., Yoshida, M., Uchiyama, T., & Akazawa, K. (1996) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss1987.116.11_1246 · Cited by 6
Discrimination of Spatial and Temporal Parameters in Electrocutaneous Stimulation
Geng, B., & Paramanathan, S. A. (2016) · International Journal of Physical Medicine & Rehabilitation · doi:10.4172/2329-9096.1000333 · Cited by 5
Inhibiting Freedom of Movement with Compression Feedback
Pohl, H., Hoheisel, F., & Rohs, M. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3053081 · Cited by 5
The Use of Biofeedback in Hand Rehabilitation
Blackmore, S. M., Williams, D. A., & Wolf, S. L. (2011) · Elsevier eBooks · doi:10.1016/b978-0-323-05602-1.00196-3 · Cited by 5
The Mind-Controlled Robotic Hand
Lundborg, G. (2013) · Springer eBooks · doi:10.1007/978-1-4471-5334-4_16 · Cited by 4
Pneumatic Feedback for Wearable Lower Limb Exoskeletons Further Explored
Muijzer-Witteveen, H., Guerra, F., Sluiter, V. I., & van der Kooij, H. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-42321-0_9 · Cited by 4
Tuning of parameters for a vibrotactile kinaesthetic feedback system utilizing tactile illusions
Hehenberger, L., Sburlea, A. I., & Muller-Putz, G. R. (2020) · TUGraz OPEN Library (Graz University of Technology) · doi:10.3217/978-3-85125-682-6-45 · Cited by 4
Soft Pneumatic Actuators: Modeling, Control, and Application
Skorina, E. H., & Onal, C. D. (2021) · Springer eBooks · doi:10.1007/978-3-030-70514-5_6 · Cited by 3
Operation of a Brain-Computer Interface Using Vibrotactile Biofeedback
Chatterjee, A., Aggarwal, V., Ramos‐Murguialday, A., Acharya, S., & Thakor, N. V. (2007) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2007.369639 · Cited by 3
Elucidating Sensorimotor Control Principles with Myoelectric Musculoskeletal Models
Goodman, S. E., & Hasson, C. J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00531 · Cited by 3
Targeted Sensory Reinnervation
Marasco, P. D. (2013) · Series in medical physics and biomedical engineering · doi:10.1201/b15079-9 · Cited by 2
Aqueveque, P., Germany, E., Pastene, F., & Osorio, R. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871761 · Cited by 2
High-fidelity interfacing for bionic rehabilitation
Vujaklija, I. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23987-8.00003-1 · Cited by 2
Bruni, G., Bucchieri, A., Tessari, F., Boccardo, N., Marinelli, A., Momi, E. D., Laffranchi, M., & Michieli, L. D. (2022) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob52689.2022.9925478 · Cited by 2
Effects of gender and age on vibrational resolution of the skin
Mounier, S. (2004) · Technology and Health Care · Cited by 2
On sensory feedback in hand prostheses
Antfolk, C. (2012) · Lund University Publications (Lund University) · Cited by 2
Gender effect on discrimination of location and frequency in surface electrical stimulation
Geng, B., Paramanathan, S. A., Pedersen, K. F., Lauridsen, M. V., Gade, J., Lontis, R., & Jensen, W. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318795 · Cited by 1
The neurophysiology of augmentative manipulation: A method for technical implementation
Alvarez, L., Wiebe, S. A., Adams, K. D., Hope, A., & Cook, A. M. (2014) · Technology and Disability · doi:10.3233/tad-140410 · Cited by 1
Farina, M., Lettieri, E., Filippi, T., Zoccarato, F., Perego, P., Francesco, A. D., & Toletti, G. (2024) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2024.2374454 · Cited by 1
Application Of Haptic Feedback For Improved Prosthetic Control
Boone, D. A., Daly, W. K., Chou, T. G. R., & Chaubey, P. (2011) · DukeSpace (Duke University) · Cited by 1
Human's Capability to Discriminate Spatial Forces at the Big Toe
Hagengruber, A., Höppner, H., & Vogel, J. (2018) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2018.00013 · Cited by 1
Electrocutaneous stimulation to close the loop in myoelectric prosthesis control
Hartmann, C. (2017) · doi:10.53846/goediss-6432 · Cited by 1
Tactile feedback for myoelectric forearm prostheses
Witteveen, H. J. B. (2013) · doi:10.3990/1.9789036535885 · Cited by 1
Balasubramanian, K., & Hatsopoulos, N. G. (2015) · Springer eBooks · doi:10.1007/978-1-4614-6675-8_705
Functional Biomechanics of Human Grasping and Requirements for Simple Robotic End-Effectors
Addis, R. B., & Ravani, B. (2000) · Courses and lectures · doi:10.1007/978-3-7091-2498-7_52
Sensor Fusion for Closed-loop Control of Upper-limb Prostheses
Marković, M. (2016) · doi:10.53846/goediss-5733
Alvarez, L. (2014) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3348gp2x
An Experimental Setup to Evaluate Sensory Substitution Methods for Upper Limb Robotic Prostheses
Hojatmadani, M., & Samur, E. (2018) · Çukurova Üniversitesi Mühendislik Fakültesi Dergisi · doi:10.21605/cukurovaummfd.509851
Extended Hand Attributes for Touch Input, Touch Output and Touchless Interaction
Gupta, A. (2018) · TSpace (University of Toronto)
Marasco, P. D. (2013) · Series in medical physics and biomedical engineering · doi:10.1201/b15079-13
Wells, E. D. (2021) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3-h59b-p194
A Bibliography on Myoelectric Control of Upper Limb Prostheses
Smart, H. (2004) · Springer eBooks · doi:10.1007/978-3-642-18812-1_10
(2003) · Technology and Health Care · doi:10.3233/thc-2004-12202
Balasubramanian, K., & Hatsopoulos, N. G. (2022) · Springer eBooks · doi:10.1007/978-1-0716-1006-0_705
Balasubramanian, K., & Hatsopoulos, N. G. (2014) · Springer eBooks · doi:10.1007/978-1-4614-7320-6_705-1
Real-time vibrotactile pattern generation and identification using discrete event-driven feedback
Erbaş, İ., & Güçlü, B. (2023) · Somatosensory & Motor Research · doi:10.1080/08990220.2023.2175811
Wearable Sensory Substitution for Proprioception via Deep Pressure
Kodali, S., Vuong, B. B., Bulea, T. C., Chesler, A. T., Bönnemann, C. G., & Okamura, A. M. (2023) · IEEE World Haptics Conference (WHC) · doi:10.1109/whc56415.2023.10224435 · Cited by 1
Kelly, E., Wheaton, L. A., & Hammond, F. L. (2023) · IEEE RO-MAN · doi:10.1109/ro-man57019.2023.10309396
Tactile Feedback in Prosthetics: A Pilot Study Exploring Different Haptic Modalities
Barontini, F. (2024) · Springer series on touch and haptic systems · doi:10.1007/978-3-031-70539-7_3
Vers un contrôle sensori-moteur bio-inspiré des prothèses myoélectriques du membre supérieur
Guémann, M. (2019) · theses.fr (ABES) · doi:10.70675/258d8d05z8ac0z4098za529z537005e4fba0
Bioengineered Interfaces for Peripheral Nerve Sensory Restoration
Swedick, S., Hadwe, S. E., Liang, K., Malliaras, G. G., & Barone, D. G. (2026) · Advanced Materials · doi:10.1002/adma.74815
Metadata
- Authors
- Patterson, P. E., & Katz, J. A.
- Affiliations
- Iowa State University (US)
- Venue
- The Journal of Rehabilitation Research and Development
- Published
- 1992
- Volume
- 29
- Issue
- 1
- Pages
- 1
- ISSN
- 0742-3241 (ISSN-L)
- 0748-7711
- OpenAlex
- W1987158471
- Cited by
- 147
- References
- 16
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 5 · 2022: 9 · 2021: 9 · 2020: 8 · 2019: 5 · 2018: 8 · 2017: 9 · 2016: 5 · 2015: 8 · 2014: 14 · 2013: 7 · 2012: 11
- FWCI
- 0.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Rehabilitation Research and Development (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- myoelectric hand, sensory feedback, pressure feedback, vibrotactile feedback, electrocutaneous stimulation, prosthetic hand, sensory substitution
- MeSH terms
- Adult, Artificial Limbs, Biofeedback, Psychology, Hand, Humans, Male, Pressure, Sensation, Skin
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