Implementation of natural sensory feedback in a portable control system for a hand grasp neuroprosthesis
Abstract
This paper presents the design and implementation of the first generation of a portable system for a hand grasp neuroprosthesis that is controlled by means of signals from natural sensors in the skin of the index finger. To reduce development time and costs, we based our design on readily available, standardised modules such as a 486DX100 compatible CPU, a data acquisition board, a flash disk storage unit, and a high-efficiency DC/DC switch-mode power supply. Additionally, we designed and built a telemeter to supply an implanted muscle stimulator with power and control data. The signal from the natural sensors was recorded with a cuff electrode implanted around the palmar digital nerve innervating the radial aspect of the index finger. For amplification of the recorded nerve signal, we added an external low-noise nerve signal amplifier. For pre-processing of the recorded nerve signal, an optimised band-pass filter was used. A data-recording unit allowed storage and off-line analysis of the stimulator command and the recorded nerve signal. The portable system was used by a tetraplegic volunteer to test the feasibility of including natural sensors in a hand grasp neuroprosthesis for activities of daily living. The flexibility of the presented system allows rapid prototyping of experimental FES hand grasp systems intended for portable use.
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For hand grasp neural prosthesis, a cuff around the palmar digital nerve recorded mechanoreceptor activity when a grasped object was slipping to regulate grasping force.
“for hand grasp neural prosthesis, a cuff placed around the palmar digital nerve recorded the activity from mechanoreceptors when a grasped object was slipping to regulate the force of grasping (Haugland and Hoffer, 1994; Haugland et al., 1994; Inmann and Haugland, 2004)”
From A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems (2005) · cites this paper as Inmann and Haugland, 2004
Cites
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Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., & Dario, P. (2005) · Journal of the Peripheral Nervous System · doi:10.1111/j.1085-9489.2005.10303.x · Cited by 845 · see citing works
“For example, for hand grasp neural prosthesis, a cuff placed around the palmar digital nerve recorded the activity from mechanoreceptors when a grasped object was slipping to regulate the force of grasping (Haugland and Hoffer, 1994; Haugland et al., 1994; Inmann and Haugland, 2004).”
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“A range of feedback sensors are also being used for FES applications and could deliver feedback to implanted cortical stimulation arrays (Inmann et al. 2001, Inmann & Haugland 2004, Sinkjaer et al. 2003).”
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BackgroundMicrochannels as Axonal Amplifiers
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“…be provided by a graphical display, by vibrotactile arrays (Chatterjee, Aggarwal, Ramos, Acharya, & Thakor, 2007), by physical coupling with the external device, or by direct cortical stimulation (Dhillon & Horch, 2005; Inmann & Haugland, 2004; Sinkjaer, Haugland, Inmann, Hansen, & Nielsen, 2003).”
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“A portable hand grasp neuroprosthesis that is controlled by feedback signals has been evaluated and has proven efficacious in improving grip strength control (Urbano et al., 2003; Inmann and Haugland, 2004).”
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“…have used nerve cuffs to identify touch force and slip (Haugland and Hoffer 1994, Haugland et al 1994), estimate joint angle (Chan et al 2012), and as a sensor in closed loop functional electrical stimulation (FES) systems (Haugland and Sinkjaer 1995, Haugland et al 1999, Inmann and Haugland 2004).”
MethodSabetian, P., Popović, M. R., & Yoo, P. B. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa6407 · Cited by 16 · see citing works
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“There is a growing effort to incorporate natural neural feedback into closed-loop FES systems [6].”
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“[1] Inmann A, Haugland M.”
MethodSensors for motor neuroprostheses
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Effect of contacts configuration and location on selective stimulation of cuff electrode
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“There are promising experimental results for providing feedback to functional electrical stimulation (FES) systems, using cuffs for whole nerve recording [6,7].”
BackgroundDecoding force from multiunit recordings from the median nerve
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- Authors
- Inmann, A., & Haugland, M.
- Affiliations
- Aalborg University (DK)
- Corresponding author
- Inmann, Andreas
- Venue
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Published
- 2004-06-07
- Volume
- 26
- Issue
- 6
- Pages
- 449-458
- ISSN
- 1350-4533 (ISSN-L)
- 1873-4030
- OpenAlex
- W1978006553
- Cited by
- 40
- References
- 0
- Citations by year
- 2020: 1 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 3 · 2013: 5 · 2012: 1
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Medical Engineering & Physics (publishedVersion)
- PubMed (publishedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
- Funders
- European Commission
- Danmarks Grundforskningsfond
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- functional electrical stimulation, skin sensors, index finger, palmar digital nerves, bandpass filtering, tetraplegia, activities of daily living, low-cost prototyping
- MeSH terms
- Activities of Daily Living, Adult, Electric Stimulation Therapy, Feasibility Studies, Feedback, Feeding Behavior, Hand, Humans, Male, Prosthesis Design, Psychomotor Performance, Quadriplegia, Reflex, Stress, Mechanical, Touch, Treatment Outcome, Hand Strength, Equipment Failure Analysis
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