A data processing method for detecting and classifying a segment of a signal that is obtained from a single-channel EEG-recording as a target signal segment or as a non-target signal segment. The method includes a voting process to determine whether classification of a first detected segment of the signal as a target signal segment or classification of a second detected segment of the signal as a non-target signal segment is correct. A device and a system that are configured and arranged to perform the data processing method.

A noninvasive method and system for sleep apnea detection is disclosed. The method includes the following steps: acquiring vital sign signals of a sleeping user; performing structured processing on the vital sign signals of the user to remove invalid signals to obtain a set of valid vital sign signals; extracting multi-dimensional morphological features from a sleep respiratory signal and performing feature training on an initial model of a classifier by means of the multi-dimensional morphological features so as to obtain a sleep breathing detection model; and inputting the set of valid vital sign signals into the sleep breathing detection model and performing signal processing to obtain predicted probability of the user suffering from sleep apnea. As a result, data relating to the probability of a user suffering from sleep apnea can be more accurately obtained, thereby facilitating the determination of whether a sleep apnea event occurs during sleep.

There is provided a learning device, including a learning unit that learns output related to a target feature point to be observed in a repetition section observed periodically, with the use of the first sensor data being acquired by the first system and having a time length corresponding to the repetition section, as learning data, and of teacher data based on the second sensor data acquired by the second system at a time point when a specific period of time has elapsed since a start time point of the time length related to the first sensor data, the second system being less affected by noises than the first system, in which the specific period of time is set on the basis of a time length from a start time point of the repetition section to a time point at which the target feature point is expected to appear.

To perform urological diagnostics of a patient, detrusor pressure can be estimated using bladder pressure recordings from a single sensor. A signal comprising the bladder pressure data recorded by the sensor can be received. The bladder pressure data can include at least a detrusor pressure data component and a corrupting data component. An estimate of the corrupting data component can be extracted from the bladder pressure data. The detrusor pressure of the patient can be estimated based on the estimate of the corrupting data component and/or the estimate of the detrusor pressure data. An output indicative of the detrusor pressure of the patient can be provided based on the estimate of the detrusor pressure data component.

The melanin bias reducing pulse oximeter system reduces melanin interference when obtaining pulse oximetry readings for individuals with higher skin concentrations of melanin. The system incorporates optics reducing the melanin bias through hardware and software designed using extensive testing, via a proprietary testing method. The physical pulse oximeter includes different mechanical designs, for example, finger clip, ring, and bracelet design for enhanced usage, accuracy, and comfort for those unable to wear traditional pulse oximeters. The user interface includes built-in UI, external and portable UI, bedside monitoring, and connection to patient monitoring systems, via wired and/or wireless means. Further systems include those with both melanin bias reducing pulse oximetry and heart telemetry in the same device, via either a wired or wireless compact waterproof system to be used for continuous monitoring including blood oxygen saturation as a 5.sup.th vital sign. Systems also include fall detection, bed alarm, and location services.

Disclosed herein is a pressure-relief mattress comprising: a plurality of inflatable bladders; a pressure sensor pad arranged to detect pressure exerted on a subject, the pressure sensor pad comprising a plurality of pressure sensor cells being arranged in a matrix with at least one row and at least one column; a pressure-sensing electronic unit electrically connected with the plurality of pressure sensor cells; and a pressure-control electronic unit communicatively connected with the pressure-sensing electronic unit; wherein the pressure-sensing electronic unit is configured for generating a measurement result indicative of a pressure exerted upon the subject at one or more of the pressure sensor cells, the pressure control electronic unit is configured for controlling operation of one or more of the inflatable bladders according to the pressure measurement result.

A blood-vessel recognizing method for recognizing blood vessels present in biological tissue, the method including: obtaining real-time Doppler spectra on the basis of time waveforms data of intensities of scattered light generated in the biological tissue due to irradiation with laser light; calculating average frequencies of the real-time Doppler spectra; correcting the calculated average frequencies on the basis of peak intensities of the real-time Doppler spectra; and determining whether or not blood vessels are present in regions of the biological tissue irradiated with the laser light on the basis of the corrected average frequencies.

The method and system for monitoring cough comprises receiving audio signals or audio recordings, where said signals or audio recordings comprises one or more of silent segments, cough sound segments, speech segments and extraneous noise. The processing of said received sound signals or sound recordings comprise one or more of removing one or more speech components from speech segments to render the speech unintelligible and clipping said silent segments, wherein one or more speech components include vowel sounds. Further processing of said received audio signals or audio recordings further comprises compressing said audio signals or audio recordings. In the alternative, processing of audio signals or audio recordings comprises compressing a resultant signal after said removal of one or more speech components and/or clipping of silent segments from said audio signals.

The disclosed biopotential measurement device may include a front end comprising a biopotential measurement sensor and a back end comprising a processor programmed to process biopotential signals detected by the biopotential measurement sensor. The biopotential measurement device may also include an isolation circuit that, during at least a sampling phase of the biopotential measurement sensor, electrically isolates the front end from the back end. Various other methods, systems, and computer-readable media are also disclosed.

An adjustable measurement device is described that may include a housing, a power supply, a processor, a communication device, an elastic coupling member, a physiological sensor, and/or a clamp. The housing may be configured to attach to a wearable band that is wearable by a subject. The housing may include a chamber within the housing. The power supply, the processor, the communication device, the elastic coupling member, and or the physiological sensor may be disposed within the chamber. The elastic coupling member may couple the physiological sensor to the housing. A force exerted by the elastic coupling member on the physiological sensor may be in a direction through an opening towards a body part of a subject. As the subject wears the wearable band and the housing is coupled to the wearable band, the physiological sensor may be adjacent to or contact the subject.