A magnetic measuring apparatus includes at least one magnetic sensor, a coil, a driving circuit configured to supply a current to the coil, a conductor electrically connecting the coil and the driving circuit, and a computing device which estimates relative positions of the magnetic sensor and the coil based on a magnetic field generated by the current supplied to the coil and detected by the magnetic sensor. The magnetic sensor has a magnetic detection sensitivity in a particular direction, and the particular direction of the magnetic sensor and a current vector of the current flowing through the conductor are parallel.

Methods and systems for conditioning a signal indicative of electrosurgical unit activity are described. A hardware circuit acquires AC current from an electrosurgical unit on patient isolated circuitry and conditions the signal in either of two alternate processing methods. The processed signal is routed as input to an analog to digital converter circuit. A method for determining saturation on referential inputs and recovering inputs to an unsaturated state is also described.

Methods and systems for providing neuromodulation therapy are disclosed. The methods and systems are configured to sense an evoked neural response and use the evoked neural response as feedback for providing neuromodulation therapy. Methods of reducing stimulation artifacts that obscure the sensed evoked neural response are disclosed. The methods of artifact reduction include recording a stimulation artifact in the absence of an evoked neural response, aligning and scaling the stimulation artifact with respect to the obscured signal, and subtracting the aligned and scaled artifact from the obscured signal.

The disclosure provides an acquisition box, comprising a signal receiving end, a voltage processing module, and a wireless communication module. The signal receiving end is configured to receive a measurement signal acquired from a subject. The voltage processing module is configured to reduce a voltage of the measurement signal received by the signal receiving end to obtain a target measurement signal. The wireless communication module is configured to transmit the target measurement signal to a target monitoring device in a wireless mode. The disclosure further provides an acquisition box assembly and a monitoring apparatus. According to the disclosure, the target measurement signal is obtained by an acquisition box independent of the monitoring device to at least reduce the voltage of the measurement signal received by the signal receiving end, achieving a defibrillation protection function; the size of the target monitoring device may be kept small, and the target measurement signal is transmitted to the target monitoring device in a wireless mode, meeting the ECG measurement requirement and also bringing convenience to a user.

A device for calculating cardiovascular heartbeat information is configured to receive an electronic audio signal with information representative of a human voice signal in the time-domain, the human voice signal comprising a vowel audio sound of a certain duration and a fundamental frequency; generate a power spectral profile of a section of the electronic audio signal, and detect the fundamental frequency (F0) in the generated power spectral profile; filter the received audio signal within a band around at least the detected fundamental frequency (F0) and thereby generating a denoised audio signal; generate a time-domain intermediate signal that captures frequency, amplitude and/or phase of the denoised audio signal; detect and calculate heartbeat information within a human cardiac band in the intermediate signal.

Apparatus and methods remove a voltage offset from an electrical signal, specifically a biomedical signal. A signal is received at a first operational amplifier and is amplified by a gain. An amplitude of the signal is monitored, by a first pair of diode stages coupled to an output of the first operational amplifier, for the voltage offset. The amplitude of the signal is then attenuated by the first pair of diode stages and a plurality of timing banks. The attenuating includes limiting charging, by the first pair of diode stages, of the plurality of timing banks and setting a time constant based on the charging. The attenuating removes the voltage offset persisting at a threshold for a duration of at least the time constant. Saturation of the signal is limited to a saturation recovery time while the saturated signal is gradually pulled into monitoring range over the saturation recovery time.

Computing systems and computer-implemented methods for removing brain stimulation artifacts in neural signals are disclosed. The method makes use of a matching pursuit algorithm to accurately extract the stimulation artifact. The disclosed method removes the stimulation artifact associated with individual stimulation pulses without needing additional information from previous stimulation pulses or other electrodes. The disclosed method is compatible for use with various stimulation frequencies, does not need any filtering, and can recover neural signals almost immediately after stimulation. The disclosed method is compatible for use in has great potential in closed-loop systems used in various neurological diagnostic and therapeutic procedures.

Systems and methods are provided for the denoising of images in the presence of broadband noise based on the detection and/or estimation of in-band noise. According to various example embodiments, an estimate of broadband noise that lies within the imaging band is made by detecting or characterizing the out-of-band noise that lies outside of the imaging band. This estimated in-band noise may be employed for denoise the detected imaging waveform. According to other example embodiments, a reference receive circuit that is sensitive to noise within the imaging band, but is isolated from the imaging energy, may be employed to detect and/or characterize the noise within the imaging band. The estimated reference noise may be employed to denoise the detected in-band imaging waveform.

Devices and methods provide for the sensing of physiological signals during stimulation therapy by preventing stimulation waveform artifacts from being passed through to the amplification of the sensed physiological signal. Thus, the amplifiers are not adversely affected by the stimulation waveform and can provide for successful sensing of physiological signals between stimulation waveform pulses. A blanking switch may be used to blank the stimulation waveform artifacts where the blanking switch is operated in a manner synchronized with the stimulation waveform so that conduction in the sensing path is blocked during the stimulation pulse as well as during other troublesome artifacts such as a peak of a recharge pulse. A limiter may be used to limit the amplitude of the sensed signal, and hence the stimulation artifacts, that are passed to the amplifier without any synchronization of the limiter to the stimulation waveform.

Time-efficient identification of a brain network input-output (IO) dynamics model for brain stimulation includes generating an input stochastic-switched noise-modulated waveform characterized by at least one parameter modulated according to a stochastic-switched noise sequence, inputting the input stochastic-switched noise-modulated waveform to a clinical brain-response system, recording one or more time-correlated outputs of the clinical brain-response system responsive to the input stochastic-switched noise-modulated waveform, and identifying a brain network IO dynamics model that optimally correlates the input stochastic-switched noise-modulated waveform to the one or more time-delimited outputs of the clinical brain-response system. A desired brain response to an input electrical signal may be obtained using the model, such as by modulating the input electrical signal using a closed-loop control algorithm based on the brain network IO dynamics model.