Neural prosthesis with fuzzy logic control system

Data processing: artificial intelligence – Fuzzy logic hardware – Fuzzy inference processing

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C706S001000, C706S022000, C623S025000, C623S024000

Reexamination Certificate

active

07398255

ABSTRACT:
A neural prosthesis for providing a signal indicative of a predicted event from a cycle of events includes a signal-acquisition system for receiving a neural signal, and a fuzzy-logic inference system for receiving, from the signal acquisition system, a signal indicative of a current location within the cycle of events. The fuzzy-logic inference system is configured to predict a successive event in the cycle of events.

REFERENCES:
patent: 5748845 (1998-05-01), Labun
patent: 6163725 (2000-12-01), Peckham
patent: 6424868 (2002-07-01), Smith et al.
patent: 6633783 (2003-10-01), Dariush et al.
patent: 2004/0093093 (2004-05-01), Andrews
Richard Lauer, Brian Smith, Randal Betz, James McCarthy. “An Adaptive Neuro-Fuzzy Control Algorithm for Electrically Stimulated Gait in the Child with Cerebral Palsy”, NIH Neural Prosthesis Workshop, Oct. 16-18, 2002.
Richard Lauer, Brian Smith, Dan Coiro, Randal Betz, James McCarthy. “Feasibility of Gait Event Detection Using Intramuscular Electromyography in the Child with Cerebral Palsy”, International Neuromodulation Society, Neuromodulation, vol. 7, No. 3, Jul. 2004, pp. 205-213.
Margaret M. Skelly, Howared Jay Chizeck. “Real-Time Gait Event Detection for Paraplegic FES Walking”, IEEE Transactionson Neural Systems and Rehabilitation Engineering, vol. 9, No. 1. Mar. 2001, pp. 59-68.
Richard Lauer, Brian Smith, James McCarthy. “An Adaptive Neuro-Fuzzy Control Algorithm for Electrically Stimulated Gait in the Child with Cerebral Palsy”, NIH Neural Prosthesis Workshop, Oct. 16-18, 2002.
Lauer et al., “Applications of a Neuro-fuzzy Network for Gait Event Detection Using Electromyography in the Child with Cerebral Palsy,” Abstract, NIH Neural Prosthesis Workshop, Oct. 16-18, 2002.
Lauer et al., “An Adaptive Neuro-Fuzzy Control Algorithm for Electrically Stimulated Gait in the Child with Cerebral Palsy,” Proceedings of the 9th Annual Conferences of the International Functional Electrical Stimulation Society (IFESS), Jul. 1-5, 2003.
Smith et al., “Evaluation of Force-Sensing Resistors for Gait Event Detection to Trigger Electrical Stimulation to Improve Walking in the Child With Cerebral Palsy”, Transactions on Neural Systems and Rehabilitation Engineering, vol. 10, No. 1, Mar. 2002, pp. 22-29.
Williamson et al., “Gait Event Detection for FES Using Acceleromaters and Supervised machine Learning,” IEEE Transactions on Rehabilitation Engineering, vol. 8, No. 3, Sep. 2000, pp. 312-319.
Skelly et al., “Real-Time gait Event Detection for Paraplegic FES Walking,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 9, No. 1, Mar. 2001, pp. 59-68.
Micera et al., “Neuro-Fuzzy Extraction of Angular Information from Music Afferents for Ankle Control during Standing in Paraplegic Subjects: an Aninmal Model,” IEEE Transactions on Biomedical Engineering, vol. 48, No. 7, Jul. 2001, pp. 787-405.
Graupe et al., “Artificial Neural network Control of FES in Paraplegics for Patient Responsive Ambulation,” IEEE Transactions on Biomedical Engineering, vol. 42, No. 7, Jul. 1995, pp. 699-707.
Au et al., “EMG-Based Protection of Shoulder and Elbow Kinematics in Able-Bodied and Spinal Cord Injured Individuals,” IEEE Transactions on Rehabilitation Engineering, vol. 8, No. 4, Dec. 2000, pp. 471-480.
Lauer et al., “Feasibility of Gait Event Detection using Intramuscular Electromyography in the Child with Cerebral Palsy,” International Neuromodulation Society, Neuromodulation, vol. 7, No. 3, 2004, pp. 205-213.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Neural prosthesis with fuzzy logic control system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Neural prosthesis with fuzzy logic control system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neural prosthesis with fuzzy logic control system will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3967396

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.