A person support apparatus, such as a bed, cot, stretcher, or the like, includes an active noise cancellation device configured to generate a noise cancelling sound wave that is designed to cancel a noise sound wave. The active noise cancellation device may include speakers and a microphone. In other embodiments, the person support apparatus includes a sound emitting component and a transmitter adapted to send out a notification signal prior to activation of the sound emitting component. The notification signal provides information about a characteristic of the sound to be emitted by the sound emitting device. The recipient of the notification signal may then use the signal to cancel the sound that is to be emitted. In some embodiments, the person support apparatus acts as a conduit for notification signals of upcoming sounds, receiving and forwarding such notification signals from and to other devices.

Apparatus for connecting both analogue and digital earphone devices to a server system providing a digital audio output includes an interface for connecting an earphone device to the server system, a detector for detecting the type of earphone device connected via the interface, a converter for generating an analogue audio signal from the digital audio output received from the server system, and a switch for switching between providing digital and analogue signals to the attached earphone device via the interface.

Disclosed are a noise reduction box and a respirator. The noise reduction box includes a housing and a blower. The housing includes a first chamber, a second chamber, an air inlet and an air outlet. The first chamber and the second chamber are connected to each other, and the air inlet and the air outlet are connected to the first chamber respectively. The blower is disposed in the first chamber, and includes an air intake connected to the second chamber and a tuyere connected to the air outlet.

The present invention provides an anti-snoring device based on an expansion type silencer, and proposes the technical solution from the respective of eliminating the effect in the causality of snoring. The anti-snoring device comprises an expansion chamber, a tube, and an active noise elimination module. The expansion chamber is connected to the active noise elimination module. The active noise elimination module further comprises a secondary sound source, a microphone, and a control module. The expansion chamber further comprises an opening for sealing and shielding the mouth and nose organ and forming an acoustic system of the expansion type silencer together with the sealed and shielded face skin. The tube is a respiratory airflow channel, and is an acoustic device having acoustic impedance different from that of the expansion chamber. In this way, the anti-snoring device provided in the utility model has the beneficial effects of being wide in applicability, large in noise elimination amount, wide in noise elimination bandwidth, small in size, light in weight, and low in electric energy consumption.

The present application describes techniques for noise control which utilize a feedback control unit comprising a filter, derived from one or more predetermined filter candidates, for reducing or cancelling a feedback component of a noise control signal.

The disclosure includes an acoustic processing network comprising a Digital Signal Processor (DSP) operating at a first frequency and a Real-Time Acoustic Processor (RAP) operating at a second frequency higher than the first frequency. The DSP receives a noise signal from at least one microphone. The DSP then generates a noise filter based on the noise signal. The RAP receives the noise signal from the microphone and the noise filter from the DSP. The RAP then generates an anti-noise signal based on the noise signal and the noise filter for use in Active Noise Cancellation (ANC).

An earphone noise reduction method and apparatus, which are applicable to the technical field of wearable devices. The earphone noise reduction method can include collecting, using an earphone microphone, a noise signal of an environment where the earphone microphone is placed. The method can also include transmitting the noise signal to a connected terminal or transmitting a noise value corresponding to the noise signal to the connected terminal. The method can further include receiving a judgement result returned by the terminal, and enabling a noise reduction function or disabling the noise reduction function according to the judgement result. Embodiments of the present disclosure can be realized without keys or toggle switches for noise reduction adjustment on earphones. Embodiments of the present disclosure are capable of automatic noise reduction, thereby improving the integration degree of the earphones and also enhancing the battery life of the earphones.

Exposure to ultrasound energy emitted by remote object detection systems on vehicles is reduced for vehicle occupants. An automotive vehicle has a passenger cabin and a remote sensing system including ultrasonic transceivers mounted for sensing external objects. An ultrasonic microphone is disposed to sense an ultrasonic wave entering the passenger cabin at greater than 30 kHz. An antinoise processor calculates an antinoise signal adapted to at least partially cancel the ultrasonic wave at a predetermined location in the cabin. An amplifier is coupled to the processor for amplifying the antinoise signal by a predetermined gain. An ultrasonic speaker is coupled to the amplifier to project the antinoise signal into the predetermined location to attenuate the ultrasonic wave at the predetermined location.

A noise cancellation system comprising an audio identification unit configured to identify audio to which a noise cancellation process is to be applied, an output generation unit configured to generate one or more noise cancellation signals in dependence upon the identified audio, and two or more audio output units each configured to reproduce a respective subset of the generated one or more noise cancellation signals, such that the two or more audio output units are configured to produce different outputs.

A method, a system and a program product for evaluating an intestinal function using bowel sounds are disclosed. The method comprises the following steps: A. continuously monitoring an abdominal cavity of an examinee within a specific time by using an audio collection apparatus, collecting a bowel sound signal of an intestinal tract inside the abdominal cavity, and converting the bowel sound signal into a digital signal; B. using higher-order statistics (HOS), by a processing unit, to remove noise from the digital signal; C. using a fractal dimension algorithm, by the processing unit, to capture a high-complexity feature from the digital signal, and defining the high-complexity feature as an intestinal motility signal, and D. evaluating the intestinal function of the examinee, by the processing unit, according to the intestinal motility signal.