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1584 results about "Ecg signal" patented technology

Multiple-template matching identity recognition method based on ECG (Electrocardiogram) under electrocardiogram abnormality state

The invention relates to a multiple-template matching identity recognition method based on an ECG (Electrocardiogram) under an electrocardiogram abnormality state, and belongs to the technical field of biological characteristic identity recognition. The ECG data of a user to be recognized is compared with the data of a registered user in a template library to obtain an identity recognition result. The key technology of the method comprises the following steps: carrying out electrocardiosignal preprocessing for eliminating noise interference; carrying out electrocardiosignal decomposition to separate an electrocardiogram waveform of each period; carrying out standardized processing for independently achieving standardization on time and amplitude scales; carrying out characteristic extraction: in the step, characteristics are extracted by wavelet transform, and clustering analysis is carried out by an ISODATA (Iterative Self-organizing Data Analysis Techniques Algorithm) so as to construct an ECC template library; and carrying out correlation analysis: in the step, correlation between ECG test data and each template is calculated, an optimal matching template is selected, and finally, an identity recognition result is obtained. The multiple-template matching identity recognition method provided by the invention utilizes the intrinsic electrocardiosignal of a human body to recognize an identity, and the ECG data under the abnormality state is considered.

Implantable medical device and method for detecting cardiac events without using of refractory or blanking periods

Cardiac electrical events are detected by comparing signal vectors with pre-determined classification zones representative of different cardiac events. The signal vector is generated by sensing the voltages between various combinations of electrodes, such as A-tip to V-tip, A-tip to A-ring, and A-ring to V-ring. The signal vector is compared with a set of classification zones corresponding to different events, such as P-waves, R-waves, T-waves, A-pulses, and V-pulses, to determine whether the vector lies within any of the classification zones. In this manner, cardiac events are detected using only the voltages received from the electrodes and no refractory periods or blanking periods are required to distinguish one event from another. The classification zones vary from patient to patient and a technique is provided herein for generating a set of vector classification zones for a particular patient. Signal vectors corresponding to various unknown cardiac events are generated by the implanted device and are transmitted to an external device programmer. ECG signals, generated by a surface ECG detector, are simultaneously received by the external programmer. The external programmer identifies the cardiac electrical event corresponding to each signal vector based on the ECG signals and then generates classification zones for each event type using only the signal vectors corresponding to the event.

Method and device for processing multi-lead synchronized electrocardiosignal

ActiveCN101467879AEfficient extractionReliable arrhythmia analysis informationDiagnostic recording/measuringSensorsEcg signalGuideline
The invention discloses a multi-conducting-channel synchronous electrocardio signal processing method and an apparatus. The method comprises the following steps: A1, collecting electrocardio signals of each conducting channel respectively and obtaining electrocardio signal data of each conducting channel; B1, calculating a quality judgment guideline of each conducting channel according to the electrocardio signal data; C1, performing optimized conducting channel selection according to the quality judgment guideline; D1, performing QRS wave identification and specification to each single conducting channel or at least to the optimized conducting channel according to the electrocardio signal data; E1, performing a combination judgment to the QRS wave identification and specification result of the optimized conducting channel to form a combination detection result. The invention realizes the tracing of dynamic variation of the quality of signals in a comparatively complicated clinical application environment and the effective extraction of electrocardio signals through dynamic switching of the optimized conducting channels, and finally a reliable analyzing information of the rhythm of heart of a patient can be obtained.

Physiological information-based depressive disorder evaluation system and evaluation method thereof

The invention discloses a physiological information-based depressive disorder evaluation system, which comprises an information acquisition module, a signal processing module, a parameter calculating module, a characteristic selecting module, a machine learning module and a result output module. The invention further discloses a depressive disorder evaluation method based on multiple pieces of physiological information, which comprises the following steps: 1, processing one or more than one signal of an electrocardiosignal, a pulse wave signal, an electroencephalographic signal, a galvanic skin response signal, an electrogastrogram signal, an electromyographic signal, an electrooculogram signal, a polysomnogram signal and a temperature signal, and calculating signal parameters; 2, carrying out normalization on the obtained signal parameters, and carrying out characteristic selection on a parameter set consisting of the signal parameters subjected to the normalization, so as to obtain a characteristic parameter set; 3, carrying out machine learning on the characteristic parameter set, and establishing a depressive disorder evaluation mathematic model according to the relationship between the characteristic parameter set and the levels of the depressive disorder, and evaluating the levels of the depressive disorder. The physiological information-based depressive disorder evaluation system and method have the advantages that subjectivity of scale evaluation and the like can be avoided.
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