The present invention relates to patient monitoring, such as hemodynamic monitoring. In order to perform provide monitoring in various scenarios, a patient monitoring device (10) is provided that comprises a patient medical monitoring unit (12) and an information unit (14). The patient medical monitoring unit is configured to perform monitoring at least one physiological parameter of a patient. The information unit is configured to provide a data carrier signal (16) indicative of information about the patient medical monitoring unit, for example, upon connection to a monitoring system. The data carrier signal is provided as an analogue sequence (18) comprising a predetermined waveform (20) indicative of the information about the patient medical monitoring unit.

A Cheyne-Stokes (CS) diagnosis system classifies periods of CS-like breathing by examining a signal indicative of a respiratory parameter. For example, nasal flow data is processed to classify it as unambiguously CS breathing or nearly so and to display the classification Processing may detect and display: apnoeas, hypopnoeas, flow-limitation and snore. The signal may be split into equal length epochs and event features are extracted. Statistics are applied to these primary feature(s) to produce secondary feature(s) representing the entire epoch. Each secondary feature is grouped with other feature(s) extracted from the entire epoch rather than from the epoch events. This final group of features is the epoch pattern. The epoch pattern is classified to produce a probability for possible event classes (e.g., Cheyne-Stokes breathing, OSA, etc.). The epoch is assigned to the class with the highest probability, which may both be reported as an indication of disease state.

Systems and methods are provided for evaluating hearing health of a given user. An input audio signal is transformed into the frequency domain and a first and second hearing profile are applied to the input audio sample. The first hearing profile represents a healthy hearing standard and the second hearing profile is the given user's hearing profile. Using the hearing profiles, first and second perceptually relevant information (PRI) values are generated for the input audio sample. The first and second PRI values are analyzed against each other to generate a PRI index value for the given user, where the PRI index value is a hearing health index value for the given user. The given user's hearing profile may additionally be applied to differently processed audio samples to evaluate the amount of perceptual rescue offered by various digital signal processing algorithms.

An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.

Provided herein are systems, methods and apparatuses for an integrated system and architectures comprising a central processing unit (CPU) located a substantial physical distance from a sample.

There is disclosed herein examples of systems and methods for compressing a signal. Samples of the signal can be segmented and the samples within each of the segments can be averaged to produce a value that can represent the samples within the segment. The number of samples to average in each segment may be determined based on an error threshold, such that the number of samples being averaged can be maximized to produce less data to be transmitted while maintaining the representation of the samples within the error threshold. In some embodiments, a signal can be separated into a timing reference, a representative periodic function, and a highly compressible error signal. The error signal can be utilized for reproducing a representation of the signal.

Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording subcutaneous insertable cardiac monitor (ICM). The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation. In general, the ICM is intended to be implanted centrally and positioned axially and slightly to either the left or right of the sternal midline in the parasternal region of the chest. Additionally, the ICM includes an ECG sensing circuit that measures raw cutaneous electrical signals and performs signal processing prior to outputting the processed signals for sampling and storage.

Techniques for compressing neural signals are disclosed herein. The neural signal compression techniques can include lossless compression, lossy compression, binned spike compression, and spike-band power compression. Lossless compression can compress neural signals using a difference predictor to encode compressed neural signals via binary and unary coding. Lossy compression can compress neural signals using quantized wavelet transforms to generate an encoded bit-stream of compressed neural signals. Binned spike and spike-band power compression can leverage the sparse nature of neural signals to threshold the neural signals for generating an appended bit-stream of compressed neural signals.

An image processing apparatus including a memory and a processor is provided. The image processing apparatus is configured to perform selecting one of data compression processing modes in response to a user input, and executing, according to the selected data compression processing mode, data compression processing on an input captured image based on an inter-frame prediction. The image processing apparatus is further configured perform generating a compressed image from the executed data compression processing. A group of pictures with respect to the generated compressed image is different according to the data compression processing modes. When receiving a request for acquiring vital information from a person captured in the input captured image, one of the data compression processing modes is selected so that the generated compressed image is configured by I pictures only.

Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording subcutaneous insertable cardiac monitor (ICM). The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation. In general, the ICM is intended to be implanted centrally and positioned axially and slightly to either the left or right of the sternal midline in the parasternal region of the chest. Additionally, the ICM includes an ECG sensing circuit that measures raw cutaneous electrical signals and performs signal processing prior to outputting the processed signals for sampling and storage.