22762 results about "Signal acquisition" patented technology

A patient module comprising an 8 channel EEG pre-amplifier whose signal acquisition and processing characteristics are optimized for use in the operating room and intensive care unit. This patient module comprises at least an optimized multistage input filter, an optimized input stage circuit topography, ultra-isolation, oversampling, a multiplexer inter-sample charge dump, and high performance low-frequency-enhanced shielding.

An ambulatory medical device including a plurality of electrodes configured to be disposed at spaced apart positions about a patient's body, an electrode signal acquisition circuit, and a monitoring circuit. The acquisition circuit has a plurality of inputs each electrically coupled to a respective electrode of the plurality of electrodes and is configured to sense a respective signal provided by a plurality of different pairings of the plurality of electrodes. The monitoring circuit is electrically coupled to an output of the acquisition circuit and is configured to analyze the respective signal provided by each of the plurality of different pairings and to instruct the acquisition circuit to select at least one of the plurality of different to pairings to monitor based on at least one of the quality of the respective signal, a phase difference between the respective signal and that of other pairings, a position of electrodes relative to the patient's body, and other criteria.

A wireless, programmable system for bio-potential signal acquisition (e.g., electrocardiogram (ECG) data) includes a base unit and a plurality of individual wireless, remotely programmable transceivers that connect to patch electrodes. The base unit manages the transceivers by issuing registration, configuration, data acquisition, and transmission commands using wireless techniques. Bio-potential signals from the wireless transceivers are demultiplexed and supplied via a standard interface to a conventional monitor for display.

Embodiments of the present invention are directed at gathering position information of mobile and stationary entities and using the position information in a wide variety of applications. Various embodiments use a plurality of signal transmitting devices and/or a plurality of signal gathering devices to gather position information. In one embodiment, the signal transmitting device is an existing mobile electronic device. In another embodiment, the signal transmitting device is a radio frequency identification (RFID) tag attached to an entity. In another embodiment, the signal gathering device is a collection of wall mounted antennas. The entity location is calculated by gathering the phase difference or other timing information of signal generated by the signal transmitting device on the entity. This location information is then given to end user applications. One embodiment is a network security application using gathered location information of wireless ethernet cards. Another embodiment is a network resource locator application.

A direct sequence spread spectrum receiver samples an incoming signal and stores the sample in memory. Power is then inhibited to the tuner of the receiver to minimize power consumption. The signal sample may be read from memory when necessary to process the signal without further signal acquisition. Power to other receiver sections may be selectively controlled to minimize power consumption. Such a receiver is useful in global positioning satellite (GPS) signal processing where the receiver has a limited power supply.

This invention is directed to devices and methods for assessing a patient. The devices have at least one impedance measuring element functionally connected to a programmable element, programmed to analyze an impedance measurement, and to provide an assessment of at least one respiratory parameter of the patient. Preferably the device includes electronics which aid in calibration, signal acquisition, conditioning, and filtering.

A technique for acquiring and accessing information from a medical implantable device is provided. Analog waveforms of interest are sensed and processed by signal acquisition circuitry. Analog parameters of interest are applied to selector switches which are controlled by a logic circuit. The logic circuit is also coupled an A/D converter for converting the analog signals to digital values. The digital values are stored in dedicated registers and are available for telemetry to an external device upon receipt of a request or prompt signal. When a digitized value is accessed and telemetered, the control logic circuit changes the conductive state of the selector switches to apply the corresponding analog signal to the A/D converter. The resulting digital value is applied to the corresponding register to refresh the accessed and telemetered value. The technique permits the external device to request and configure the implanted device to send only digitized values of interest. The technique also makes efficient use of the A/D converter, which consumes energy only as needed to refresh the memory when digital values are accessed and telemetered.

An apparatus and method for the transduction, acquisition, and processing of physiologic variables are described. The apparatus is a self-contained, patient-worn device consisting of a flexible substrate, a transduction means, a power generation means, and a signal acquisition and processing means, and a data transmission means.

Embodiments of the invention relate to omni-tomographic imaging or grand fusion imaging, i.e., large scale fusion of simultaneous data acquisition from multiple imaging modalities such as CT, MRI, PET, SPECT, US, and optical imaging. A preferred omni-tomography system of the invention comprises two or more imaging modalities operably configured for concurrent signal acquisition for performing ROI-targeted reconstruction and contained in a single gantry with a first inner ring as a permanent magnet; a second middle ring containing an x-ray tube, detector array, and a pair of SPECT detectors; and a third outer ring for containing PET crystals and electronics. Omni-tomography offers great synergy in vivo for diagnosis, intervention, and drug development, and can be made versatile and cost-effective, and as such is expected to become an unprecedented imaging platform for development of systems biology and modern medicine.

The invention provides a voiceprint identification method based on a Gauss mixing model and a system thereof. The method comprises the following steps: voice signal acquisition; voice signal pretreatment; voice signal characteristic parameter extraction: employing a Mel Frequency Cepstrum Coefficient (MFCC), wherein an order number of the MFCC usually is 12-16; model training: employing an EM algorithm to train a Gauss mixing model (GMM) for a voice signal characteristic parameter of a speaker, wherein a k-means algorithm is selected as a parameter initialization method of the model; voiceprint identification: comparing a collected voice signal characteristic parameter to be identified with an established speaker voice model, carrying out determination according to a maximum posterior probability method, and if a corresponding speaker model enables a speaker voice characteristic vector X to be identified to has maximum posterior probability, identifying the speaker. According to the method, the Gauss mixing model based on probability statistics is employed, characteristic distribution of the speaker in characteristic space can be reflected well, a probability density function is common, a parameter in the model is easy to estimate and train, and the method has good identification performance and anti-noise capability.

A physiological signal collecting and monitoring system includes a physiological signal sensing device (10) and a computer device (48). The sensing device (10) includes a physiological signal sensing unit for detecting physiological signals from a subject, a circuit arrangement including a processor for executing a preloaded program to receive the physiological signals from the sensing unit, process thereof and store resultant physiological information into a memory, and a carrier (14) for carrying the sensing unit and the circuit arrangement to attach to the subject. The computer device (48) having a standard computer communication port is used for further processing the physiological information. Furthermore, the sensing device (10) further includes a communication interface to communicate with the standard computer communication port, and the interface to communicate with the processor and memory are integrated into a removable module (16), and the removable module (16) is detachable from the sensing device for acting as a computer dongle so that the removable module (16) is capable of electrically connecting with the computer device (48) to download the physiological information stored in the removable module (16) into the computer device (48).

The invention discloses an intelligent inspection robot system for transformer substation equipment. The intelligent inspection robot system for the transformer substation equipment comprises a control center, a wireless communication network and an inspection robot, wherein the control center realizes remote control and data transmission with the inspection robot through the wireless communication network; the control center comprises an upper control host, an inspection monitoring data processing module and a robot remote control transmission module; and the inspection robot comprises a robot control unit, a robot body mechanism, a robot obstacle detection and navigation device, a robot remote control receiving module and a field signal acquisition and transmission device. The intelligent inspection robot system for the transformer substation equipment inspects power equipment in a transformer station through the inspection robot, transmits related data acquired in real time to the control center through the wireless communication network and displays the related data on related equipment, so that workers can remotely monitor the on-site working condition and the operation condition of the equipment conveniently, remote areas and unattended stations can be monitored remotely, and time and labor are saved.

A GPS/IMU safety sensor platform is proposed, consisting of data fusion Processors, GNSS Signal Acquisition and Tracking Processors, MEMS IMU sensors, one or multiple accelerometers able to provide orientation information, optional V2V communication modules, and optional V2I communication modules. The data fusion processors provide interface ports to GNSS/IMU processors, odometers, video (Visual/Infrared) cameras installed in the vehicle, V2V relative positioning sensors (laser, radar or any other distance measuring), and V2V and V2I communication modules. The data fusion processors are interfaced to a driver warning system and optionally to the vehicle controls for providing safety warning messages to drivers, or for automatic control the vehicle for preventing and reducing accidents.

An electrode for collecting surface electromyographic (EMG) signals consists of a generally bolt-shaped structure having a circular signal-gathering head and an integral shaft for support purposes and for transmission of electrical signals. The head of the electrode is configured as a disc having a plurality of pyramids distributed substantially evenly over the signal gathering surface with the tips of the pyramids projecting outwardly of the head for contact with the skin of a patient. Preferably, the electrode consists entirely of 316L stainless steel, the pyramids are formed by grinding or electromachining and the shaft is threaded for receipt of a clamp nut. The electrode is adapted for mounting in a hole in a thin, flexible support member by means of the shaft to maintain spacing among adjacent electrodes and to assure proper contact with the patient.

The present invention relates to physiological monitoring system, and is especially one kind of wearable low-load physiological monitoring system for multiparameter physiological signal acquisition. The physiological monitoring system consists of a wearable dynamic multiparameter acquisition coat, a patient's hand-held terminal and a remote medical service center. The wearable dynamic multiparameter acquisition coat communicates with the hand-held terminal in short radio communication mode, while the hand-held terminal communicates with the remote medical service center accessed to the Internet in remote radio communication mode. The present invention has the positive effect of realizing the movable monitoring, the remote dynamic monitoring and real-time tracking monitoring on low load physiological parameters of the patient.

A direct sequence spread spectrum receiver samples an incoming signal and translates the signal to an IF signal. The IF signal is sampled and stored in memory. In one embodiment, the memory consists of two memory banks which alternately receive sample segments. During a write period to one of the memory banks, the other memory bank supplies its output to a processor. This continues in a ping-pong manner. In another embodiment, a single memory bank is filled and read as necessary, the receiver ignoring incoming signal until the processor has completed processing the sample available at the output of the memory. Such a receiver is useful in global positioning satellite (GPS) signal processing where the incoming signal contains several satellite transmissions encoded with CDMA encoding.

The invention provides a cement truck densimeter automatic cleaning device and method. The cement truck densimeter automatic cleaning device comprises a liquid feeding pipeline, a centrifugal pump, atee joint, a densimeter mounting seat, a signal acquisition system, a control system and a cleaning tank, wherein the liquid feeding pipeline is connected with an inlet of the centrifugal pump, the tee joint is arranged between the centrifugal pump and the densimeter mounting seat, the third end of the tee joint is provided with a discharge pipeline in a connected manner; the densimeter mounting seat is connected with the cleaning tank; and the densimeter mounting seat is in electric signal connection with the signal acquisition system, and the signal acquisition system is electrically connected with the control system. According to the cement truck densimeter automatic cleaning device, the problem that cement adheres to the inner part of a densimeter is solved, the measuring precision ofthe densimeter is improved and the service life of the device is prolonged; cleaning liquid is automatically fed, the cleaning process is automatically circulated, the cleaning progress is automatically detected; and the cement truck densimeter automatic cleaning device is used for densimeter automatic cleaning, the operation is safer and more efficient, and on-site manpower is greatly saved.

The recently introduced theory of Compressive Sensing (CS) enables a new method for signal recovery from incomplete information (a reduced set of “compressive” linear measurements), based on the assumption that the signal is sparse in some dictionary. Such compressive measurement schemes are desirable in practice for reducing the costs of signal acquisition, storage, and processing. However, the current CS framework considers only a certain task (signal recovery) and only in a certain model setting (sparsity).

We show that compressive measurements are in fact information scalable, allowing one to answer a broad spectrum of questions about a signal when provided only with a reduced set of compressive measurements. These questions range from complete signal recovery at one extreme down to a simple binary detection decision at the other. (Questions in between include, for example, estimation and classification.) We provide techniques such as a “compressive matched filter” for answering several of these questions given the available measurements, often without needing to first reconstruct the signal. In many cases, these techniques can succeed with far fewer measurements than would be required for full signal recovery, and such techniques can also be computationally more efficient. Based on additional mathematical insight, we discuss information scalable algorithms in several model settings, including sparsity (as in CS), but also in parametric or manifold-based settings and in model-free settings for generic statements of detection, classification, and estimation problems.

The invention discloses a method for testing the assembly performance of a rotor of an aircraft engine, which comprises the following steps of: firstly exciting and vibrating a rotor of an aircraft engine with a vibration exciter; obtaining a multiple carrier-coupled impulse response signal of the rotor of the aircraft engine with a vibrating sensor and signal-acquiring system software; analyzing the obtained multiple carrier-coupled impulse response signal of the rotor of the aircraft engine by means of dual-tree complex wavelet transform to obtain eight signal carrier-coupled impulse response signals of the rotor of the aircraft engine; and distilling the average assembly performance index of the obtained eight signal carrier-coupled impulse response signals of the rotor of the aircraft engine, wherein the assembly performance of the rotor of the aircraft engine is judged to be qualified if the obtained average assembly performance index is larger than or equal to 10, and the assembly performance of the rotor of the aircraft engine is judged not to be qualified if the obtained average assembly performance index is less than 10, so that the rotor needs to be repaired.

The invention discloses an online state monitoring and fault diagnosis system of a wind generator set. The system comprises four parts of a monitoring device, an upper computer, a central monitoring center and a remote diagnosis center, wherein the monitoring device is used for realizing signal acquisition and processing and communication with the upper computer; the upper computer is used for carrying out fine analysis on sample data and displaying various graph spectrums and fault analysis diagnosis and the like; the central monitoring center can monitor the state of fans in each wind fieldin a browsing manner; and the remote diagnosis center is used for periodically acquiring fan data of the wind field, periodically analyzing the state of the fans and carrying out fault analysis and location when alarming information sent by a certain fan is received.

A general-purpose, low-cost system provides comprehensive physiological data collection, with extensive data object oriented programmability and configurability for a variety of medical as well as other analog data collection applications. In a preferred embodiment, programmable input signal acquisition and processing circuits are used so that virtually any analog and/or medical signal can be digitized from a common point of contact to a plurality of sensors. A general-purpose data routing and encapsulation architecture supports input tagging and standardized routing through modern packet switch networks, including the Internet; from one of multiple points of origin or patients, to one or multiple points of data analysis for physician review. The preferred architecture further supports multiple-site data buffering for redundancy and reliability, and real-time data collection, routing, and viewing (or slower than real-time processes when communications infrastructure is slower than the data collection rate). Routing and viewing stations allow for the insertion of automated analysis routines to aid in data encoding, analysis, viewing, and diagnosis.

An ear-worn EEG monitoring device is disclosed. The EEG monitoring device includes plural electrodes, an EEG signal acquisition circuitry with RF module, at least a housing for accommodating the EEG signal acquisition circuitry with RF module, and at least an ear-worn structure, wherein the ear-worn structure can be implemented to mount on one or two ear(s) of the user, so that during the EEG monitoring process, the ear-worn structure can be used to hold and support the housing and the EEG signal acquisition circuitry therein at position(s) above and including the neck of the user, and the RF module is used for achieving a wireless communication with an external apparatus, so as to transmit acquired signals thereto.

A system and method for assisting an integrated GPS/wireless terminal unit in acquiring one or more GPS satellite signals from the GPS satellite constellation. The invention includes a method for narrowing the PN-code phase search. That is, by accounting for the variables in geographic location and time delay relative to GPS time, the systems and methods of the present invention generate a narrow code-phase search range that enables the terminal unit to more quickly acquire and track the necessary GPS satellites, and thereby more quickly provide accurate position information to a requesting entity.

The invention discloses a myoelectricity feedback based upper limb training method and system. The myoelectricity feedback based upper limb training system orderly combines signal acquisition, mode identification, biological feedback and real-time fatigue evaluation, thereby being capable of helping a user train the movement function of the upper limb. The upper limb training method includes steps of acquiring movement signals and myoelectric signals of the upper limb joint of the user when the user acts correspondingly such as forearm rotation and wrist bending/stretching as completing virtual game tasks, adjusting movement parameters of virtual control targets on the basis of the movement signals acquired by the users, identifying several muscle contraction modes of the user according to the characteristic parameters of the myoelectric signals, and utilizing the identified modes as selection basis for a myoelectric feedback control method. In addition, the upper limb training system is capable of extracting fatigue characteristics in real time according to the acquired myoelectric signals, analyzing fatigue states of muscles so as to judge muscle fatigue and send an alarm during the whole interaction system.

The invention relates to an eccentric pump vibration accidence fusion diagnose method and relative vibration signal collector, wherein said invention is characterized in that: it uses the eccentric pump vibration signal collector to collect the normal state, the quantity imbalance, asymmetry rotate and loose base of eccentric pump; uses wavelet decomposition and reconstruction to extract the character of vibration signal; and inputs the character vectors into sub fuzzy neural networks I and II; to be treated and replace the relation factor matched with sensor signal function; the whole fuzzy neural network comprises data fuzzy layer, input layer, hidden layer and output layer; uses D-S theory to obtain the fused signal function distribution, realize the fusion diagnose on normal state, quantity imbalance, asymmetry rotate and loose base. The invention has simple structure and high effect.