176 results about "Sound analysis" patented technology

Apparatus for use detection of apnea includes a microphone mounted in the ear of the patient for detecting breathing sounds and a second external microphone together with an oximetric sensor. A transmitter at the patient compresses and transmits the signals to a remote location where there is provided a detector module for receiving and analyzing the signals to extract data relating to the breathing. The detector uses the entropy or range of the signal to generate an estimate of air flow while extracting extraneous snoring and heart sounds and to analyze the estimate of air flow using Otsu's threshold to detect periods of apnea and / or hypopnea. A display provides data of the detected apnea / hypopnea episodes and related information for a clinician.

An apparatus for analyzing music based on sound information of instruments is provided. The apparatus uses sound information of instruments or the sound information and score information in order to analyze digital sounds. The sound information of instruments performed to generate digital sounds is previously stored by pitches and strengths so that monophonic notes and polyphonic notes performed by the instruments can be easily analyzed. In addition, by using the sound information, of instruments and score information together, input digital sounds can be accurately analyzed and can be detected in the form of quantitative data.

The invention relates to a method and system of snoring monitoring and prevention and treatment based on a smart phone platform. The system comprises a snoring sound analysis module, a real-time intervention module and an information feedback module. The method of monitoring and prevention and treatment comprises the following steps that: (1) building a severe snoring sound signal bank and a mild snoring sound signal bank, preprocessing snoring sound signals to extract feature vectors, and training server and mild GMM modules, (2) recording snoring signals of a user in a phone client in real time to process the snoring signals, and carrying out real-time four-dimensional feature vector series extraction on processed snoring signals in a special time window, (3) matching real-time four-dimensional feature vector series with the mild and server snoring sound GMM modules, and regarding one type with the maximum likelihood as an identification result, (4) calculating the maximum snoring sound interval time in a current time window if snoring degree is judged to be server, (5) utilizing outside simulation to prevent the user from snoring if the maximum snoring sound interval time exceeds 10 seconds. Outside intervention can be conducted immediately, and the user can be prevented from snoring effectively.

An information processing apparatus is provided which includes a beat analysis unit for detecting positions of beats included in an audio signal, a structure analysis unit for calculating similarity probabilities, each being a probability of similarity between contents of sound of beat sections divided by each beat position detected by the beat analysis unit, and a bar detection unit for determining a likely bar progression of the audio signal based on bar probabilities determined according to the similarity probabilities calculated by the structure analysis unit, the bar probabilities indicating to which ordinal in which metre respective beats correspond.

A lung sound diagnostic system for use in collecting, organizing and analyzing lung sounds associated with the inspiration(s) and expiration(s) of a patient. The system includes a plurality of transducers that may be placed at various sites around the patient's chest. The microphones are coupled to signal processing circuitry and A / D converters which digitize the data and preferably provides the digital data to a computer station. A data collection and organization program, executing on the computer station, organizes and formats the data into a combination display for display or printing. The combinational display includes at least two display elements. In a first display element, the data is shown for both inspiration and expiration combined in a first time scale. In a second display element, the data for inspiration and expiration are shown individually in a second time scale that is time-expanded relative to the first time scale. The system may also include application programs for detecting and classifying abnormal sounds. The resulting information may be displayed in a variety of formats to facilitate diagnosis. Additionally, the system may include an analysis program for comparing selected criteria corresponding to the detected abnormal sounds with predefined thresholds in order to provide a likely diagnosis.

Systems for and methods of assessing lower urinary tract function from urinary flow data via sound analysis and user-provided information regarding the lower urinary tract symptoms (LUTS) of frequency, urgency and urge incontinence. Embodiments of the LUTS assessment systems include a computer and a telephone or a digital recording mechanism to capture the sound of one or more urination events, which are stored as audio files in a database. The LUTS assessment systems may include sound analysis software for analyzing the strength and duration of each urination event and may include a web-based software application for viewing the results via the Internet or other network. The database stores information from multiple urination events, and combined with information regarding the lower urinary tract symptoms, serves as an objective tool to assess bladder function and monitor progression of disease or therapy effectiveness.

Methods of using individually distinctive patterns of voice characteristics to identify a speaker include computing the reassigned spectrogram of each of at least two voice samples, pruning each reassigned spectrogram to remove noise and other computational artifacts, and comparing (either visually or with the aid of a processor) the strongest points to determine whether the voice samples belong to the same speaker.

An information processing apparatus is provided which includes a beat analysis unit for detecting positions of beats included in an audio signal, a structure analysis unit for calculating similarity probabilities, each being a probability of similarity between contents of sound of beat sections divided by each beat position detected by the beat analysis unit, and a chord progression detection unit for determining a likely chord progression of the audio signal based on chord probabilities determined according to the similarity probabilities calculated by the structure analysis unit, each chord probability being a probability of each type of chord for each beat section.

Systems for and methods of assessing urinary flow rate via sound analysis. Embodiments of the uroflow measurement systems include a computer and a telephone or a digital recording mechanism to capture the sound of one or more urination events, which are stored as audio files in a database The uroflow measurement systems may include sound analysis software for analyzing the strength and duration of each urination event and may include a web-based uroflow software application for viewing the results via the Internet or other network In one embodiment, the sound analysis software performs the steps of reading in the raw data of a selected audio file, generating a plot of the audio signal amplitude vs. time, generating a plot of smoothed data for the purpose of presenting an outline of the flow, generating a main flow plot, which is a plot of the largest continuous flow that has a strength that is greater than a predetermined minimum, and generating a set of numerical values that correspond to the strength and duration of urination.

The invention discloses a mental stress analysis system based on the heart sound HRV theory. According to the mental stress analysis system, the heart rate variability is taken as the evaluation index of the stress level, based on the influences of the heart sound HRV analysis on the mental stress and the fatigue degree, the heart rate variability and the heart sound analysis are combined, and the mental stress analysis system capable of accurately measuring human mental stress is provided. For the system, a wireless heart sound collector is adopted, so that the long-time collection of heart sounds is realized, and the time for collecting the heart sounds needs to be maintained for 3-5 min; in order to rapidly and effectively extract the heart rate variability from heart sound signals, the adaptive algorithm for extracting HRV from the heart sounds is provided; through time-domain and frequency-domain analysis on HRV, 12 time-domain indexes and frequency-domain indexes are obtained, and the graphical representation is carried out on the 8 main characteristic indexes. Compared with the electrocardiographic mental stress analysis meter, the mental stress analysis system provided by the invention has the advantages that the use is convenient, the operation is simple, the functions are complete, especially, the cost is low, and the mental stress analysis system is suitable for being popularized and used in primary medical units, families, schools and individuals.

A method includes receiving, from a portable recording device, multiple recordings of sounds made by an elevator during operation of the elevator, the multiple recordings generated at different times. The method includes analyzing, by a sound analysis circuit, the multiple recordings generated at the different times to detect changes in an elevator characteristic over time and generating, based on detecting the changes in the elevator characteristic over time, a notification to perform an action on the elevator.

The present invention relates to a medical feedback system (100) based on sound analysis in a medical environment. With a sound scene analyzer (SSA, 10) being capable of analyzing and classifying an audio signal so as to obtain a list of one or more sound sources in the medical environment surrounding the patient, and a sound-level analyzer (SLA, 20) being capable of providing an indicator for perceived levels of corresponding sound from the list of sound sources, advanced sound analysis is possible. Finally, a sound classifier (SC, 30) is arranged for classifying said list of one or more sound sources in a medical environment with respect to a degree of avoidability, and generating a corresponding feedback signal (FEED, 50) for appropriate action by medical personal, patients and / or visitors.