An exemplary behavioral audiogram generation system 1) determines a noise floor within the cochlea of a patient, 2) presents, by way of a loudspeaker, acoustic stimulation having a predetermined frequency and a predetermined amplitude to the patient, 3) detects an evoked response that occurs in response to the acoustic stimulation, 4) determines an amplitude of the evoked response that occurs in response to the acoustic stimulation, and 5) determines, based on the amplitude of the evoked response, on the predetermined amplitude of the acoustic stimulation, and on the noise floor, a behavioral audiogram value for the patient that corresponds to the predetermined frequency.

Certain embodiments provide a hearing testing probe apparatus. The hearing testing probe apparatus includes a probe tube detachably coupled at a first end to a probe body and extending through a center hole in an eartip to align proximate a face of the eartip at a second end. The probe tube includes a plurality of stimulus lumens for receiving and carrying stimulus from the first end of the probe tube for output at the second end of the probe tube. The probe tube includes one or more microphone lumens for receiving and carrying one or more measured responses from the second end of the probe tube to one or more microphones at the first end of the probe tube.

In an embodiment, the invention provides an apparatus for comprehensive vision and audio screening, the apparatus including a housing having left and right separated compartments. Each of the left and right separated compartments contains a distance- and contrast-adjustable component of a stereo display that can be switched to be transparent with a rear display providing background and see-through capability, a semitransparent mirror, a lens with built-in camera, an LED module, a light source with a set of filters, a light module, and a component of a stereo speaker. The apparatus further includes a communication module, an accelerometer, a three-axis gyroscope, a light detector, a processor; a memory storing firmware, and a power supply component having a rechargeable battery and a charging component.

Methods for detecting hearing loss in an individual are disclosed. The methods utilize raw audiometric test data and transform the data into a single numerical metric that summarizes the magnitude of hearing loss specifically toward early noise-induced hearing loss. Also disclosed are systems incorporating the methods of the instant disclosure.

Systems and methods are provided for performing phase-sensitive optical coherence tomographic (PS-OCT) measurements involving the vibrographic response of an acoustic stimulus. Detected signals are processed to provide sampled time-dependent vibrographic data characterizing a vibratory amplitude and phase response over one or more periods of the acoustic stimulus. The sampled time-dependent vibrographic data is processed to suppress the sinusoidal signal component associated with the acoustic stimulus, thereby providing a residual data associated with noise. The residual data is processed to obtain an estimate of the motion noise, and the motion noise is subtracted from the sampled time-dependent vibrographic data in order to provide noise-corrected vibrographic data. The noise-corrected vibrographic data can be processed to obtain one or more vibrographic measures and/or one or more images.

A hearing diagnosis device and a hearing diagnosis method are provided. The device includes a storage unit, an otoacoustic emission detecting module, and a hearing diagnosis management module. The storage unit stores a hearing diagnosis image sample database and a hearing information sample database. The otoacoustic emission detecting module is configured to perform an otoacoustic emission detecting operation by playing a test audio to an ear of a user to obtain a first hearing diagnosis image corresponding to the ear. The hearing diagnosis management module is configured to perform a hearing diagnosis operation according to the first hearing diagnosis image, a plurality of hearing diagnosis image samples of the hearing diagnosis image sample database, and a plurality of hearing information samples, respectively corresponding to the hearing diagnosis image samples, of the hearing information sample database, so as to determine first hearing information of the ear.

In a method for examining the faculty of hearing for at least one ear of a mammal, in which growth curves are determined on the basis of the measurement of DPOAE's evoked by pairs of excitation signals (f1, f2) for different excitation frequencies f2, the ear is presented with first excitation signals with a first excitation frequency f1 and a first noise level L1 and secondary excitation signals with a second excitation frequency f2 and a second noise level L2. Pulse pairs with a first pulse of the first excitation signal and a second pulse of the second excitation signal are presented in the ear, and the DPOAE's evoked thereby are captured and evaluated. A set of at least two different pulse pairs with different second excitation frequencies f2 is presented in one block that is repeated several times during a measuring period.

An exemplary system includes an electro-acoustic stimulation (EAS) sound processor, a cochlear implant communicatively coupled to the EAS sound processor, an electrode array communicatively coupled to the cochlear implant, and a receiver communicatively coupled to the EAS sound processor and configured to be in communication with an ear of a patient. The EAS sound processor 1) directs, while in a self-fitting mode, the receiver to apply acoustic stimulation to the patient, 2) records, using at least one electrode included in the electrode array, an evoked response that occurs in response to the acoustic stimulation, 3) compares the evoked response to a baseline evoked response recorded by the EAS sound processor prior to recording the evoked response, and 4) performs a predetermined action based on the comparison between the evoked response and the baseline evoked response. Corresponding systems and methods are also disclosed.

A device and method for the continuous monitoring of otoacoustic emissions (OAE) levels on an individual worker uses as a pair of earpieces each featuring an external microphone, an internal microphone and a pair of miniature receivers. An adaptive filtering noise rejection processing of the measured distortion product OAE (DPOAE) is used to further improve the Signal-to-Noise ratio in frequencies where passive isolation remains insufficient. The adaptive filtering noise rejection technique relies on a Normalized Least-Mean-Square (NLMS) algorithm that uses the ipsilateral external microphone and the contralateral internal microphone to reject the noise from the measured DPOAE signals for each in-ear OAE probe. A DPOAE signal extraction algorithm provides for an increase in results reliability on a greater dynamic range in DPOAE magnitudes than known methods of DPOAE signal extraction. The device and method is suitable for the continuous monitoring of workers' hearing capabilities in industrial noises up to 75 dB(A).

A middle ear sound transmission characteristics evaluation system includes a probe; a measuring probe that includes an actuator that vibrates the probe and a force sensor that outputs a voltage in accordance with a reaction force exerted to the actuator when a tip of the probe is brought into contact with ossicles; an electrode that is installed on a round window or near a round window and detects a potential value of a cochlear microphone when vibration is applied to the ossicles by the probe; a database that stores a sensor voltage value output by the force sensor before surgical treatment, the potential value detected by the electrode, and surgical details; and a surgical details proposing unit that proposes selected surgical details on the basis of the magnitude of at least one of the sensor voltage value and the potential value measured before surgery with reference to the sensor voltage values, potential values, and surgical details stored in the database.