68 results about "Beat detection" patented technology

A monitor device and associated methodology are disclosed which provide a self contained, relatively small and continuously wearable package for the monitoring of heart related parameters, including ECG. The detection of heart related parameters is predicated on the location of inequipotential signals located within regions of the human body conventionally defined as equivalent for the purpose of detection of heart related electrical activity, such as on single limbs. Amplification, filtering and processing methods and apparatus are described in conjunction with analytical tools for beat detection and display.

A monitor device and associated methodology are disclosed which provide a self contained, relatively small and continuously wearable package for the monitoring of heart related parameters, including ECG. The detection of heart related parameters is predicated on the location of inequipotential signals located within regions of the human body conventionally defined as equivalent for the purpose of detection of heart related electrical activity, such as on single limbs. Amplification, filtering and processing methods and apparatus are described in conjunction with analytical tools for beat detection and display.

Beat detection in audio streams for various applications: (i) to encourage desired athletic parameters, such as target or current heart rate, during training or workout by adjusting tempo of accompanying music; (ii) to monitor operating conditions of mechanical devices which inherently include vibrations; (iii) to synchronize audio play-out beat rate to mechanical device beat rate.

There is provided a tempo detection apparatus capable of detecting, from the acoustic signal of a human performance of a musical piece having a fluctuating tempo, the average tempo of the entire piece of music and the correct beat positions, and further, the meter of the musical piece and the position of the first beat. The tempo detection apparatus includes an input section 1 for receiving an acoustic signal; a chromatic-note-level detection section for applying an FFT calculation to the received acoustic signal at predetermined time intervals to obtain the level of each chromatic note at each of predetermined timings; a beat detection section 2 for summing up incremental values of respective levels of all the chromatic notes at each of the predetermined timings, to obtain the total of the incremental values of the levels, indicating the degree of change of entire sound at each of the predetermined timings, and for detecting an average beat interval and the position of each beat from the total of the incremental values of the levels; and a measure detection section 3 for calculating the average level of each chromatic note for each beat, for summing up incremental values of respective average levels of all the chromatic note for each beat to obtain a value indicating the degree of change of entire sound at each beat, and for detecting a meter and the position of a measure line from the value indicating the degree of change of entire sound at each beat.

A beat detection device includes: a pulse wave sensor adapted to detect and output a pulse wave signal; a body motion sensor adapted to detect and output a body motion signal due to a body motion of a human body; a pulse wave signal filtering section adapted to generate an adaptive filter based on the body motion signal to extract a noise signal in the pulse wave signal, and to output a beat signal obtained by eliminating the noise signal from the pulse wave signal; and a filter coefficient setting section adapted to set a coefficient of the adaptive filter to be a predetermined value in response to detection of increase in a body motion change beyond a predetermined threshold value based on the body motion signal.

There is provided a tempo detection apparatus capable of detecting, from the acoustic signal of a human performance of a musical piece having a fluctuating tempo, the average tempo of the entire piece of music and the correct beat positions, and further, the meter of the musical piece and the position of the first beat. The tempo detection apparatus includes an input section; a chromatic-note-level detection section for applying an FFT calculation to obtain the level of each chromatic note at each of predetermined timings; a beat detection section for summing up incremental values of respective levels of all the chromatic notes, indicating the degree of change of entire sound at each of the predetermined timings, and for detecting an average beat interval and the position of each beat from the total of the incremental values of the levels; and a measure detection section for calculating the average level of each chromatic note for each beat, for summing up incremental values of all the chromatic note for each beat to obtain a value indicating the degree of change, and for detecting a meter and the position of a measure line from the value indicating the degree of change of entire sound at each beat.

A beat-pattern based error concealment system and method which detects drum-like beat patterns of music signals on the encoder side of the system and embeds the beat information as data ancillary to a preceding audio data interval in the transmitted compressed bitstream. The embedded information is then used to perform an error concealment task on the decoder side of the system. The beat detector functions as part of an error concealment system in an audio decoding section used in audio information transfer and audio download-streaming system terminal devices such as mobile phones. The disclosed sender-based method improves error concealment performance while reducing decoder complexity.

A system and method for detecting beats in a compressed audio domain is disclosed where a beat detector functions as part of an error concealment system in an audio decoding section used in audio information transfer and audio download-streaming system terminal devices such as mobile phones. The beat detector includes a MDCT coefficient extractor, a band feature value analyzer, a confidence score calculator; and a converging and storage unit. The method provides beat detection by means of beat information obtained using both MDCT coefficients as well as window-switching information. A baseline beat position is determined using MDCT coefficients obtained from the audio bitstream which also provides a window-switching pattern. A window-switching beat position is compared with the baseline beat position and, if a predetermined condition is satisfied, the window-switching beat position is validated as a detected beat.

An acute ischemia monitor is disclosed. The monitor, which includes an analog to digital convertor and a processor that performs beat detection, monitors the time course of a heart signal parameter, namely ST segment deviation, computed from an electrocardiogram. The device stores ST deviation statistics for multiple leads. For each lead, upper and lower ST deviation boundaries are computed. For each lead, current ST deviation values are compared with the statistical values to determine a metric indicative of the degree of abnormality of a current ST deviation value. The metric is equal to the difference between the current ST deviation value and the upper or lower boundary, normalized according to the dispersion of the ST deviation. Metrics from different leads are summed and compared to a threshold to determine whether the combined metric is indicative of a cardiac event.

A multiple audio track recording and playback system having at least two audio inputs, a first audio input for receipt and recording of audio tracks AT representing a first audio stream, a second audio input for receipt of a second audio stream, the system is configured for playback of audio tracks recorded on the basis of the first audio stream and the playback is performed with reference to a tempo reference, the tempo reference is automatically derived from beats obtained through beat detection, and the system is configured for beat detection on the basis of at least the first audio stream and the second audio stream.

The invention provides a system and a method for analyzing streaming-media real-time music beats and controlling dance, which relates to the technical field of music beat analysis, and solves the problem that the prior art is unsuitable for real-time beat detection and needs to be equipped with special hardware. The system comprises an audio-data acquisition module, a music-beat analysis module, a music-beat speed analysis module and a dance control module. The method comprises the following steps of: A, acquiring audio data; B, performing sampling analysis on the audio data acquired in the step A and preliminarily judging suspected beat point data; C, performing second analysis on suspected beat points obtained in the step B and screening out formal beat points; D, analyzing the speed of music beats; and E, controlling dance. The invention can dynamically analyze the speed of the music beats and beat information in real time so as to ensure synchronous play of dance and music. The invention directly obtains waveform sample data from hardware with no special decoder, and then can analyze beat speed, thereby having the advantages of simple method, convenient use and applicability to most of requirements of streaming-media real-time music analysis.

Systems, including methods and apparatus, for applying audio effects to a non-ambient signal, based at least in part on information received in an ambient audio signal. Exemplary effects that can be applied using the present teachings include generation of harmony notes, pitch-correction of melody notes, and tempo-based effects that rely on beat detection.

The invention discloses an audio beat detection method and device and a storage medium. The audio beat method comprises the following steps that a training sample is obtained, characteristic extracting is carried out on the training sample to extract audio characteristics of the training sample, the audio characteristics of the training sample is input into a reference model for learning and training to obtain optimized parameters of the reference model after training, and a detection model is generated according to the optimized parameters; and then, audio beat detection is carried out on audio to be detected based on the detection model to obtain a beat per minute (BPM) value of the audio to be detected and confidence corresponding to the BPM value, so that the accuracy of audio beat detection is improved, and the running time in the detection process is shortened.

A microprocessor configured to receive and process digitized signals derived from an analogue ECG signal is provided. An example microprocessor comprises a beat detection unit configured to receive the in-phase and quadrature phase band power signals, calculate a band power value and an adaptive threshold value, and compare said band power value with said adaptive threshold value to detect a QRS complex of the ECG signal indicative of a detected valid beat; and an R peak detection unit configured to receive the digital ECG signal and information about the detected valid beat, select a portion of the received ECG signal as a first time window around the detected valid beat; determine the location of a first R peak position; and perform a time domain search in a second time window around said first R peak position in order to refine the location of an R peak position.

The invention discloses a T wave dynamic modeling and multi channel estimation fusion method. Aiming to solve the problems of T wave asymmetry, beat-to-beat dynamic change, myoelectricity pulses in highly dynamic monitoring environment and electrode pulse noise interference, a T wave state space model adaptive to the beat-to-beat dynamic estimation is provided, on the basis of extended Kalman filter, a multi-channel T wave estimation fusion frame is established, T wave parameters with eight independent channels are combined, and T wave robustness estimation in strong noise background can be implemented. The method has the advantages that the sectional characteristics of electrocardiosignals are utilized completely, an analysis module adaptive to asymmetrical T wave estimation is established, the T wave analysis presentation is utilized, the T wave data with eight independent channels are fused completely, the robustness of the T wave beat-to-beat dynamic estimation is improved, and necessary theoretical and technical basis is provided for beat-to-beat detection and estimation of T wave alternating signals in the highly dynamic monitoring environment.

A beat detection device includes: a pulse wave sensor adapted to detect and output a pulse wave signal; a body motion sensor adapted to detect and output a body motion signal due to a body motion of a human body; a pulse wave signal filtering section adapted to generate an adaptive filter based on the body motion signal to extract a noise signal in the pulse wave signal, and to output a beat signal obtained by eliminating the noise signal from the pulse wave signal; and a filter coefficient setting section adapted to set a coefficient of the adaptive filter to be a predetermined value in response to detection of increase in a body motion change beyond a predetermined threshold value based on the body motion signal.

A beat density detecting apparatus and an information playback apparatus are provided to detect distinctive characteristics that music or the like has and to provide the same as a novel information volume. Playback data read out from an information recording medium, such as an optical disc, and sub-code data containing the information of an elapsed track time indicating a recording position of the playback data are provided to a beat detecting unit and a beat position detecting unit, respectively. The beat detecting unit detects the number of occurrences of a change in amplitude at each predetermined frequency of the playback data, and the beat position detecting unit detects an elapsed track time from the sub-code data. Further, a beat density computing unit finds the number of occurrences with respect to the elapsed track time as the characteristics information of a beat density. By displaying the characteristics information of the beat density on a display unit in a way that the user or the like can visually recognize, it is possible to provide the distinctive characteristics that music or the like has not as instantaneous characteristics, but as the characteristics of a relatively long period, or the whole of the characteristics of a signal subject to audio playback.

The invention relates to an intelligent drumstick. The intelligent drumstick comprises a motion detection module, a location calculating module, a beating detection module, a drumbeat generating module and a drumbeat transmitting module, wherein the motion detection module is used for detecting the motion data of the intelligent drumstick; the location calculating module is used for calculating the location, relative to a starting point, of the intelligent drumstick according to the motion data; the beating detection module is used for detecting whether the intelligent drumstick triggers beating actions or not according to the motion data; the drumbeat generating module is used for generating a drumbeat signal corresponding to the current location of the intelligent drumstick when the beating detection module detects the beating actions; the drumbeat transmitting module is used for transmitting the drumbeat signal to electronic equipment in network connection with the intelligent drumstick so as to output a drumbeat corresponding to the drumbeat signal. By the intelligent drumstick, the problem that an existing drum set is large in size and inconvenient to move and practice can be solved. In addition, the invention provides an intelligent drum system based on the intelligent drumstick.

The invention discloses a Doppler laser radar wind measurement method and device. The method comprises the steps that beam splitting and power amplification are performed on a first laser source and a second laser source and then coherent beam combining is performed on the first laser source and the second laser source under the synchronous phase-locked state by using an optical phase-locked loop feedback circuit module; the combined laser beams are transmitted to the atmosphere and then echo optical signals are collected; heterodyne beat detection is performed on the collected echo optical signals and the oscillating optical signals of the device; and wind speed inversion analysis is performed on the detected spectrum data. The frequency shift effect is realized by adjusting the frequency difference between the first and second laser sources, and the acousto-optic frequency shift device in the prior art is replaced so that the more abundant extension modes and the more flexible spectrum data analysis selection can be provided for the laser radar system.

The invention discloses a periodic monitoring method and a device based on premature beat signals in a wearable electrocardiosignal, which consist of a wearable electrocardiosignal detection module and a long-time premature beat heart beat detection module. A reading unit in the long-time premature beat heart beat detection module reads the heart beat to be detected, after the heart beat type is determined by a real-time premature beat detection unit, a primary template generation unit and a secondary template generation unit respectively generate a primary template and a secondary template, and finally the heart beat type is determined through a primary-secondary heart beat detection unit, and on the basis of a normal heart beat, whether the heart beat type is an supraventricular premature beat heart beat or a normal heart beat is judged through an supraventricular premature beat detection unit, so that the long-time comfortable monitoring of ventricular premature beat and supraventricular premature beat under daily activities is achieved. The periodic monitoring method and the device based on premature beat signals in the wearable electrocardiosignal have the advantages of simplealgorithm, convenient operation, and applicability to the requirements of different users.

The present invention relates to a visual detection system and detection method for fireworks products, relates to the technical field of fireworks production, mainly comprises a computer and an imaging unit, and is responsible for taking images of inspection area of a fireworks barrel, then transmitting the images to a computer through an Ethernet interface; and the computer performs analysis andprocess of visual recognition on the collected images, and outputs processing results. The method has following beneficial effects: 1, the method can remotely observe detection and identification status, 2, the method provides automatic sound and light alarm for bad product detection, 3, the method achieves high efficient and clear deep-tube image retrieval at a lower cost, 4, the method has camera light source in integrated design, and facilitate simple and convenient installation, 5, the method facilitates easy remedy and elimination, 6, the method can complete process beat detection of fireworks every 3 seconds, 7, the method can work 24 hours without interruption, and 8, the method can save energy and reduce production costs such as manpower and time.

A system for controlling a plurality of light sources particularly LED's that are provided in a number of different arrangements including a light string and controlled from a controller that includes an input microphone for detecting an audio signal, at least one pre-amplifier, a microcomputer unit receiving signals from the pre-amplifier, and a circuit for driving a plurality of LED and that enables lighting control of the plurality of LED's in accordance with the input audio signal and within a wide dynamic range.

The invention discloses a myocardial cell mechanical beating detection method based on optical image analysis. The method comprises the following steps: detecting the change of beating images of myocardial cells in mechanical beating by adopting image treatment and analysis techniques such as image acquisition, RGB (Red, Green, Blue) image-to-gray-image, image binaryzation and image matrixing by virtue of a myocardial cell mechanical beating detection system, and quantizing myocardial cell mechanical beating by adopting a beating image difference value to achieve the detection of a mechanical beating curve of the myocardial cells; and according to the obtained mechanical beating curve of the myocardial cells, calculating the beating rate and amplitude of the myocardial cells by virtue of a peak detection algorithm, and analyzing a mechanical beating state of the myocardial cells. Compared with an existing myocardial cell mechanical beating detection method, the myocardial cell mechanical beating detection method based on optical image analysis disclosed by the invention has the advantages that the method is mark-free and nondestructive, is low in cost and simple in operation step, and can be used for synchronously and directly detecting a cell beating image and analyzing the cell beating state, and the like.

The embodiment of the invention discloses an audio processing method, audio processing equipment and a readable storage medium. The audio processing method comprises the following steps: acquiring anaudio to be detected, performing audio feature extraction on the audio to be detected to obtain audio features of the audio to be detected, and performing beat detection on the audio features of the audio to be detected by using a beat detection model to obtain beats of the audio to be detected and rebeats included in the beats, and adding a sound effect to the audio to be detected according to the beat and the re-beat. The beat detection model in the method is obtained by training based on the training sample and the beat label and the re-beat label corresponding to the training sample, and the beat detection accuracy of the beat detection model is higher than that of a traditional audio signal processing mode for beat detection. Therefore, according to the beat and the re-beat detected by the beat detection model, the sound effect is added to the to-be-detected audio, and the accuracy of the sound effect is improved.

The invention relates to a sampling device for automatic knocking type soil detection, comprising a sampling device main body, a knocking rod, a first fixed block, a second fixed block, a pole and a foot, and a baffle plate is fixed at the right end of the sampling device main body, And the bottom end of the baffle is provided with a first hydraulic cylinder, the upper part of the main body of the sampling device is provided with an upper support plate, and the bottom end of the upper support plate is equipped with a first rotating shaft, and the bottom of the fixed rod is provided with a Sampling slot, the second fixed block is located on the outside of the first fixed block, and a limit block is fixed under the second fixed block, the inner wall of the limit block is provided with a spacer, and the pole is located in the middle of the upper support plate The bottom end of the position, and a lower support plate is provided below the support rod. The beneficial effects of the present invention are: the automatic knocking type soil detection sampling device is provided with a knocking ball, driven by the second hydraulic cylinder, the knocking ball can knock the sampling tank, so that the soil in the sampling tank is more smooth. Drop into the soil box.

The invention provides a music beat detection method and system, and the method comprises the steps: carrying out the left and right channel addition of a dual-channel audio after music is received, obtaining a music PCM type data sequence, carrying out the grouping addition of the data sequence, solving an average value for simplification, and obtaining a simplified audio signal; carrying out autocorrelation function calculation on the simplified audio signal, and then carrying out wave crest detection to obtain all wave crests; carrying out envelope extraction on the simplified audio signalto obtain an audio envelope signal, carrying out first-order difference processing, half-wave rectification processing and weighted compensation processing on the audio envelope signal to obtain an audio peak signal, and detecting and outputting all beat points by utilizing a dynamic threshold wave crest; and utilizing all the wave crests and all the beat points to obtain an optimal beat path through multi-path search, and recording an audio rhythm and beat points corresponding to the optimal beat path. The problems of music rhythm detection and specific rhythm point accurate positioning are solved, and the rhythm value is estimated by searching for a possible rhythm value and an autocorrelation function convenient to implement.

An electrocardiogram analysis apparatus according to an embodiment of the present invention includes an inputter configured to receive an electrocardiogram of a subject, a beat analyzer configured to first detect and classify one or more normal beats among a plurality of beats included in the received electrocardiogram, request beat classification for remaining beats except for the one or more normal beats from a remote diagnosis server, and label each of the plurality of beats according to a normal beat detection result and a beat classification result received from the remote diagnosis server, and a rhythm analyzer configured to perform rhythm analysis on the electrocardiogram based on a labeling result.

The invention discloses a device for balanced beat detection of a POP rubidium atomic clock. A half slide and a polarization beam splitter are arranged on a DBR laser along a laser emergent direction.A first beam of linearly polarized light is reflected to a non-polarization beam splitter. A second beam of linearly polarized light enters an acousto-optic modulator, a quarter-slide, a zero-degreetotal reflection mirror in the original direction, returns to the polarization beam splitter in the original direction, and then enters a first 45-degree total reflection mirror. The light exit direction of the first 45-degree total reflection mirror is sequentially provided with a first high extinction ratio polarizer, a physical system, a second high extinction ratio polarizer, a second 45 degree total reflection mirror, a third 45 degree total reflection mirror, and the non-polarization beam splitter. The first polarized light and the second polarized light are correspondingly input into abalanced beat detector after being split and combined without the polarization beam splitter, and a signal of the detector is input to a data acquisition card. A detection method greatly improves signal-to-noise ratio of the signal of the POP atomic clock, enhances signal resistance to current noise, and can be applied to the field of atomic clock detection.