Abstract: Systems and methods are related to a successive approximation analog to digital converter (SAR ADC). The SAR ADC includes a sample and digital to analog conversion (DAC) circuit configured to sample an input voltage, a comparator circuit coupled to the sample and DAC circuit and having an output, a first set of storage circuits, and a comparator driver. The comparator driver is disposed between the output and the first set of storage circuits (e.g., ratioed latched. The first set of storage circuits are coupled to the comparator circuit and the sample and DAC circuit. The comparator driver can include a first driver and second driver. The first driver is coupled to a first input of a first storage circuit of the first set of storage circuits, and the second driver is coupled to first inputs of a second set of storage circuits within the first set of storage circuits.

Abstract: Disclosed herein are related to systems and methods for a successive approximation analog to digital converter (SAR ADC). In one aspect, the SAR ADC includes a calibration circuit configured to receive some or all of the plurality of bits corresponding to the input voltage and accumulates or averages at least some of the bits corresponding to the input voltage. The calibration circuit is configured to provide a first offset signal to control a first offset associated with a first comparator, a second offset signal to control a second offset associated with a second comparator, or reduce an offset difference associated with the first offset and the second offset.

Abstract: Systems and methods provide a fractional signal from a delta sigma modulator to a summer, a combination of an integer value and the fractional signal to a divider, and a divided clock signal from the divider in response to the combination and the input clock signal. The systems and methods also delay the divided clock signal in response to a truncation phase error and gain calibration factor from a calibration unit to provide an output clock signal having equal periods.

Abstract: An optical module includes an optical receiver with a complementary metal-oxide semiconductor (CMOS) transimpedance amplifier (TIA) and a digital signal processing (DSP) circuit. The DSP circuit is integrated with the CMOS TIA and facilitates adaptability of the CMOS TIA, and the CMOS TIA can adapt by using information provided by the DSP circuit.

Abstract: A system has a DC bus circuit with first and second terminals, an intermediate node, first and second capacitors, first and second depletion mode FETs, and first and second switching control circuits, where the first depletion mode FET has a drain coupled to the first bus terminal, a source, and a gate coupled to the intermediate node, the second depletion mode FET has a drain coupled to the intermediate node, a source, and a gate coupled to the second bus terminal, the first switching control circuit turns the first depletion mode FET off responsive to a first capacitor voltage of the first bus capacitor being less than or equal to a second capacitor voltage of the second bus capacitor, and the second switching control circuit turns the second depletion mode FET off responsive to the first capacitor voltage being greater than or equal to the second capacitor voltage.

Abstract: Systems and methods provide a fractional signal from a delta sigma modulator to a summer, a combination of an integer value and the fractional signal to a divider, and a divided clock signal from the divider in response to the combination and the input clock signal. The systems and methods also delay the divided clock signal in response to a truncation phase error and gain calibration factor from a calibration unit to provide an output clock signal having equal periods.

Abstract: An OLED display panel comprises an array substrate and metal wiring layers, wherein one part of metal lines is arranged in a direction perpendicular to a first dam, and the other part of the metal lines forms acute angles with the first dam. A plurality of first grooves are defined in a fan-out area and arranged along the metal lines, and a plurality of second grooves are defined in the array substrate corresponding to a part of an area and arranged in the direction perpendicular to the first dam.

Abstract: Provided is an organic light emitting diode display device. The organic light emitting diode display device includes a flexible substrate, including a display region, a first barrier region and a second barrier region, wherein the first barrier region is located between the display region and the second barrier region, and a barrier is disposed on the flexible substrate of the second barrier region; wherein a groove is formed in the flexible substrate of the first barrier region, and an organic light emitting diode unit is disposed on the flexible substrate of the display region.

Abstract: A system includes a sampler, a receiver phase-locked loop circuit configured to provide one or more input clock signals, and a phase interpolation circuit coupled to the receiver phase-locked loop circuit and the sampler. The phase interpolation circuit further includes a first phase interpolator configured to generate a first recovered clock signal based on the one or more input clock signals and a first code, and a second phase interpolator configured to generate a second recovered clock signal based on the one or more input clock signals and a second code, wherein the second code has an interpolation code offset from the first code, wherein the interpolation code offset corresponds to a phase shift in the second recovered clock signal relative to the first recovered clock signal, wherein the outputs of the first phase interpolator and second phase interpolator are configured to be merged.

Abstract: A blood pressure prediction method includes acquiring a data source identifier and original data; performing a data preprocessing operation on the original data; performing normalized filtering on a first-class PPG original signal to generate a standard PPG data sequence; when the data source identifier is a first-class PPG original signal identifier, performing baseline drift removal and normalized filtering on a second-class PPG original signal to generate a standard PPG data sequence; when the data source identifier is a second-class PPG video identifier, performing video quality detection and normalized signal conversion on third-class video data to generate a standard PPG data sequence; obtaining a CNN model identifier; and selecting a corresponding CNN model to predict blood pressure on the standard PPG data sequence according to the data source identifier and/or the CNN model identifier.

Abstract: A blood pressure prediction method includes performing data fragment division on the pulse wave data; generating an input data tensor according to a total fragment number and the pulse wave data ; performing multilayer convolution and pooling calculation on the input data tensor by using a blood pressure CNN to generate a feature data tensor; generating an input data matrix according to the feature data tensor; performing feature data regression calculation on the input data matrix by using a blood pressure ANN to generate a blood pressure regression data matrix; when a prediction mode identifier is a mean prediction identifier, performing mean diastolic pressure data calculation and mean systolic pressure data calculation to generate mean diastolic pressure data and mean systolic pressure data; or, when the prediction mode identifier is a dynamic prediction identifier, extracting diastolic and systolic pressure data to generate a predicted blood pressure data sequence.

Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

Abstract: A method for generating PPG signals may include sequentially performing single-frame red and green channel data calculation on all skin surface video data frame images of a frame image sequence of skin surface video data according to preset red and green light pixel threshold ranges to generate first red and green light signals; performing signal band-pass filtering preprocessing on the first red and green light signals to generate second red and green light digital signals; obtaining a preset signal determination identifier; determining whether to perform signal maximum frequency difference determination on the second red light signal and the second green light signal, and generating a first determination result; when the first determination result is an up-to-standard signal identifier, performing signal-to-noise ratio determination on the second red and/or green light signal to generate a second determination result; and when the second determination result is the up-to-standard signal identifier, generati

Abstract: An automatic recognition and classification method for electrocardiogram heartbeat based on artificial intelligence, comprising: processing a received original electrocardiogram digital signal to obtain heartbeat time sequence data and lead heartbeat data; cutting the lead heartbeat data according to the heartbeat time sequence data to generate lead heartbeat analysis data; performing data combination on the lead heartbeat analysis data to obtain a one-dimensional heartbeat analysis array; performing data dimension amplification and conversion according to the one-dimensional heartbeat analysis array to obtain four-dimensional tensor data; and inputting the four-dimensional tensor data to a trained LepuEcgCatNet heartbeat classification model, to obtain heartbeat classification information.

Abstract: A method for generating PPG signals may include photographing a skin surface to generate fragment video data; extracting fragment frame images from the fragment video data; performing image quality detection on the fragment frame images to generate an image quality detection result; when the image quality detection result indicates an up-to-standard image, performing one-dimensional red and green light signal extraction on the fragment frame images to generate first red and green signals; performing signal band-pass filtering preprocessing on the first red and green signals to generate second red and green signals; performing maximum frequency difference determination on the second red and green signals to generate a first determination result; when the first determination result indicates an up-to-standard signal, performing signal-to-noise ratio determination on the second red and green signals to generate a second determination result; and when the second determination result indicates an up-to-standard si

Abstract: A system is provided that includes a first electronic device, multiple second electronic devices coupled to the first electronic device via respective interfaces, and a clock generator coupled to the second electronic devices and configured to generate and provide a clock signal to each of the second electronic devices for clocking operation of the second electronic devices. The clock signal is a gapped clock signal having at least one gap created by the clock generator removing one or more clock pulses based on a synchronization signal, and the second electronic devices are configured to synchronize data transmission between the second electronic devices and the first electronic device via the interfaces using the at least one gap in the gapped clock signal to align the data transmission.

Abstract: Disclosed are a heartbeat data classification method and device based on a point R.

Abstract: A control method for a centrifugal compressor and an air conditioning system. The control method for the centrifugal compressor includes: S100, when an inlet opening of the centrifugal compressor is below a first preset value, shutting down a drive motor of the centrifugal compressor; or S200, when the inlet opening of the centrifugal compressor is not below the first preset value, performing the following operations in a preset order: decreasing the inlet opening of the centrifugal compressor, and increasing a rotate speed of the centrifugal compressor.

Abstract: An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat feature detection, interference signal detection and heartbeat classification based on deep learning, signal quality evaluation and lead combination, heartbeat verification, analysis and calculation of electrocardiography events and parameters, and finally automatic output of reporting data, realizing an automated analysis method having a complete and rapid flow. The automatic electrocardiography analysis method may also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method.