Abstract: A hearing aid includes: a microphone configured to provide a microphone signal that corresponds with an acoustic stimulus naturally received by a user of the hearing aid; a processing unit coupled to the microphone, the processing unit configured to provide a processed signal based at least on the microphone signal; a speaker coupled to the processing unit, the speaker configured to provide an acoustic signal based on the processed signal; and a sensor configured to measure a neural response of the user to the acoustic stimulus, and to provide a sensor output; wherein the processing unit is configured to detect presence of speech based on the microphone signal, and to process the sensor output and the microphone signal to estimate speech intelligibility; and wherein the processing unit is also configured to adjust a sound processing parameter for the hearing aid based at least on the estimated speech intelligibility.

Abstract: A hearing aid includes: a microphone configured to provide a microphone signal that corresponds with an acoustic stimulus naturally received by a user of the hearing aid; a processing unit coupled to the microphone, the processing unit configured to provide a processed signal based at least on the microphone signal; a speaker coupled to the processing unit, the speaker configured to provide an acoustic signal based on the processed signal; and a sensor configured to measure a neural response of the user to the acoustic stimulus, and to provide a sensor output; wherein the processing unit is configured to detect presence of speech based on the microphone signal, and to process the sensor output and the microphone signal to estimate speech intelligibility; and wherein the processing unit is also configured to adjust a sound processing parameter for the hearing aid based at least on the estimated speech intelligibility.

Abstract: In some embodiments of the present disclosure, systems and methods for effecting a physiological effect are provided. In some embodiments, a system is provided which comprises a plurality of current sources, where each current source having a positive output and a negative output and each being configured to provide a first current. The system may also include a plurality of stimulating electrodes electrically connected with the plurality of current sources such that at least a pair of the stimulating electrodes share at least one output of at least one of the plurality of current sources. The stimulating electrodes may be configured to provide electrical energy to tissue of a patient at the first current. The system may further include at least one sentinel electrode, and a first voltage monitor configured to monitor a first voltage across the at least one sentinel electrode and at least one of the plurality of stimulating electrodes.

Abstract: A method of predicting response to a sensory stimulus includes, with a processor, automatically receiving behavioral data representing the response of a first population of subjects to a reference stimulus. Data representing the neurological responses of a second, different population of subjects to the reference sensory stimulus are received and processed to provide group-representative data indicating commonality between the neurological responses of at least two members of the second population. A mapping from the group-representative data to the received behavioral data is produced. Test data representing the neurological responses of a third population of subjects to a test sensory stimulus are received and processed to provide test group-representative data indicating commonality between the neurological responses to the test sensory stimulus of at least two members of the third population. The mapping is applied to the test group-representative data to provide predicted behavioral data.

Abstract: An EEG cap (8) having 64 or 128 electrodes (10) is placed on the head of the subject (11) who is viewing CRT monitor (14). The signals on each channel are amplified by amplifier (17) and sent to an analog-to-digital converter (20). PC (23) captures and records the amplified signals and the signals are processed by signal processing PC (26) performing linear signal processing. The resulting signal is sent back to a feedback/display PC (29) having monitor (14).

Abstract: An EEG cap (8) having 64 or 128 electrodes (10) is placed on the head of the subject (11) who is viewing CRT monitor (14). The signals on each channel are amplified by amplifier (17) and sent to an analog-to-digital converter (20). PC (23) captures and records the amplified signals and the signals are processed by signal processing PC (26) performing linear signal processing. The resulting signal is sent back to a feedback/display PC (29) having monitor (14).

Abstract: A computer system that processes mixtures of signals, such as speech and noise sources derived from multiple simultaneous microphone recordings, in order to separate them into their underlying sources. A source separation routine optimizes a filter structure by minimizing cross powers of multiple output channels while enforcing geometric constraints on the filter response. The geometric constraints enforce desired responses for given locations of the underlying sources, based on the assumption that the sources are localized in space.

Abstract: An EEG cap (8) having 64 or 128 electrodes (10) is placed on the head of the subject (11) who is viewing CRT monitor (14). The signals on each channel are amplified by amplifier (17) and sent to an analog-to-digital converter (20). PC (23) captures and records the amplified signals and the signals are processed by signal processing PC (26) performing linear signal processing. The resulting signal is sent back to a feedback/display PC (29) having monitor (14).

Abstract: An EEG cap (8) having 64 or 128 electrodes (10) is placed on the head of the subject (11) who is viewing CRT monitor (14). The signals on each channel are amplified by amplifier (17) and sent to an analog-to-digital converter (20). PC (23) captures and records the amplified signals and the signals are processed by signal processing PC (26) performing linear signal processing. The resulting signal is sent back to a feedback/display PC (29) having monitor (14).

Abstract: A method and apparatus is disclosed for performing blind source separation using convolutive signal decorrelation. For a first embodiment, the method accumulates a length of input signal (mixed signal) that comprises a plurality of independent signals from independent signal sources. The invention then divides the length of input signal into a plurality of T-length periods (windows) and performs a discrete Fourier transform (DFT) on the signal within each T-length period. Thereafter, estimated cross-correlation values are computed using a plurality of the averaged DFT values. A total number of K cross-correlation values are computed, where each of the K values is averaged over N of the T-length periods. Using the cross-correlation values, a gradient descent process computes the coefficients of a FIR filter that will effectively separate the source signals within the input signal. A second embodiment of the invention is directed to on-line processing of the input signal—i.e.

Abstract: A method and apparatus is disclosed for performing blind source separation using convolutive signal decorrelation. For a first embodiment, the method accumulates a length of input signal (mixed signal) that includes a plurality of independent signals from independent signal sources. The invention then divides the length of input signal into a plurality of T-length periods (windows) and performs a discrete Fourier transform (DFT) on the, signal within each T-length period. Thereafter, estimated cross-correlation values are computed using a plurality of the averaged DFT values. A total number of K cross-correlation values are computed, where each of the K values is averaged over N of the T-length periods. Using the cross-correlation values, a gradient descent process computes the coefficients of a finite impulse response (FIR) filter that will effectively separate the source signals within the input signal. A second embodiment of the invention is directed to on-line processing of the input signal—i.e.

Abstract: A computer system (108) that processes mixtures of signals, such as speech and noise sources derived from multiple simultaneous microphone recordings, in order to separate them into their underlying sources. A source separation routine (124) optimizes a filter structure by minimizing cross powers of multiple output channels while enforcing geometric constraints on the filter response. The geometric constraints (209, 210, 215, 217) enforce desired responses for given locations of the underlying sources, based on the assumption that the sources are localized in space.