Biological interface system with surrogate controlled device
a biological interface and control device technology, applied in the field of medical devices, can solve problems such as major problems such as the inability to identify and obtain stable electrical signals of adequate amplitude, and the inability to control external prostheses early on
Inactive Publication Date: 2006-08-24
CYBERKINETICS NEUROTECH SYST
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AI Technical Summary
Problems solved by technology
Early attempts to utilize signals directly from neurons to control an external prosthesis encountered a number of technical difficulties.
The ability to identify and obtain stable electrical signals of adequate amplitude was a major issue.
Another problem that has been encountered is caused by the changes that occur to the neural signals that occur over time, resulting in a degradation of system performance.
Neural interface systems that utilize other neural information or other neural data, such as electrocorticogram (ECoG) signals, local field potentials (LFPs) and electroencephalogram (EEG) signals have similar issues to those associated with individual neuron signals.
Since all of these signals result from the activation of large groups of neurons, the specificity and resolution of the control signal that can be obtained is limited.
Commercialization of these neural interfaces has been extremely limited, with the majority of advances made by universities in a preclinical research setting.
Method used
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[0020] To facilitate an understanding of the invention, a number of terms are defined immediately herebelow.
Definitions
[0021] As used herein, the term “biological interface system” refers to a neural interface system or any system that interfaces with living cells that produce electrical activity or cells that produce other types of detectable signals.
[0022] The term “cellular signals,” as used herein, refers to signals or combination of signals that may emanate from any living cell, such as, for example, subcellular signals, intracellular signals, and extracellular signals. For example, “cellular signals” may include, but not be limited to: neural signals (e.g., neuron action potentials or spikes, local field potential (LFP) signals, electroencephalogram (EEG) signals, electrocorticogram signals (ECoG), and signals whose frequency range falls between single neuron spikes and EEG signals); cardiac signals (e.g., cardiac action potentials); electromyogram (EMG) signals; glial cel...
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Various embodiments of a biological interface system and related methods are disclosed. The system may include a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient, and a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal. The processing unit may be configured to transmit the processed signal to a controlled device. The system further includes a first controlled device configured to receive the processed signal, and a second controlled device configured to receive the processed signal. The first controlled device may provide feedback to the patient to improve control of the second controlled device.
Description
[0001] This application claims the benefit of priority under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 60 / 643,358, filed Jan. 10, 2005. This application relates to commonly assigned U.S. application Ser. No. ______ of J. Christopher Flaherty et al., entitled “BIOLOGICAL INTERFACE SYSTEM WITH PATIENT TRAINING APPARATUS” and filed on the same date as the present application. The complete subject matter of the above-referenced applications is incorporated by reference herein.FIELD OF THE INVENTION [0002] The present invention relates to medical devices and related methods. More particularly, various embodiments relate to biological interface systems that include one or more devices controlled by processed multicellular signal of a patient. A processing unit produces a control signal based on multicellular signals received from a sensor comprising multiple electrodes. The system may include a patient training apparatus that is utilized to configure the system to optimize co...
Claims
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IPC IPC(8): A61B5/103
CPCA61F2/50A61F2/68A61F2002/704A61F2002/7615G06F3/015G06N3/061G09B19/00G09B23/28
Inventor FLAHERTY, J. CHRISTOPHERCAPLAN, ABRAHAM H.
Owner CYBERKINETICS NEUROTECH SYST