6 results about "Thoracic impedance" patented technology

The invention relates to the field of signal processing, and provides a defibrillator human body shake detection method and system fusing electrocardio and transthoracic impedance in order to solve the problems that the human body shake false alarm rate is high, the human body shake detection precision is low and the reliability is poor when a patient is in a motion state. The defibrillator human body shaking detection method fusing electrocardio and transthoracic impedance comprises the steps that the human body shaking probability of impedance judgment is calculated, and the human body shaking probability of time-frequency analysis is obtained by combining the probability of electrocardio noise; obtaining a human body shaking probability output by the deep learning model through the deep learning model; calculating the confidence coefficient of the deep learning model according to the human body shaking probability output by the deep learning model, and adaptively matching a human body shaking probability calculation strategy to obtain a final human body shaking probability; and comparing the final human body shaking probability with a preset judgment threshold, and determining a human body shaking state. The human body shaking false alarm rate of a patient in a motion state can be reduced, and the human body shaking detection precision and reliability are improved.

A cardiopulmonary management system includes a multi-sensor device and a controller. The multi-sensor device includes an elongated body having a first end and a second end, a first electrode disposed at the first end of the body, a second electrode disposed at the second end of the body, an electrical circuitry disposed near a middle of the body, and a sound sensor. The multi-sensor device is configured to be disposed on a skin of a subject and to measure cardiopulmonary parameters from the subject. The controller is configured to derive a score of sound change, heart rate change, thoracic impedance change, respiratory rate change, QRS wavelength change, QT interval change, electromechanical activation time change, and left ventricular systolic time change based on the measured cardiopulmonary parameters. The controller is further configured to control an operation of the system when the derived score is greater than a threshold.

A cardiopulmonary resuscitation simulation system employing a CPR manikin (30) and a transducive signal modulator (40). In operation, the transducive signal modulator (40) derives a corrupted simulated electrocardiogram signal from a signal modulation of a clean simulated electrocardiogram signal electromechanically responsive to an oscillating compression depth of the CPR manikin (30) during a simulated application of the cardiopulmonary resuscitation to the CPR manikin (30), and further derives the corrupted simulated thoracic impedance signal from a signal modulation of a clean simulated thoracic impedance signal electromechanically responsive to an oscillating deformation of the CPR manikin (30) during the simulated application of the cardiopulmonary resuscitation to the CPR manikin (30).

The present application relates to the field of signal processing, in order to solve the problem of high false alarm rate of human body shaking under the state of patient movement, low detection accuracy and poor reliability of human body shaking, a defibrillator human body shaking detection method and system are provided, which fuses electrocardiogram and thoracic impedance. The defibrillator human body shaking detection method fusing electrocardiogram and thoracic impedance includes calculating the probability of human body shaking judged by impedance, then combining the probability of electrocardiogram noise to obtain the time-frequency analysis human body shaking probability; through a deep learning model, the human body shaking probability output by the deep learning model is obtained; the confidence of the deep learning model is calculated according to the human body shaking probability output by the deep learning model, the human body shaking probability calculation strategy is adaptively matched to obtain the final human body shaking probability; the final human body shaking probability is compared with the preset judgment threshold to determine the human body shaking state. It can reduce the false alarm rate of human body shaking under the state of patient movement, improve the detection accuracy and reliability of human body shaking.

The present application relates to a kind of based on few electrode and signal correlation hemodynamics detection system and method, belong to biomedical signal detection and processing technical field.The system includes microcontroller module, thoracic impedance excitation module, thoracic impedance signal detection module, electrocardiogram signal detection module, display module, storage module, wired device, wireless device and four electrodes.The system only uses four electrodes to realize the synchronous measurement of thoracic impedance signal, thoracic impedance change signal, thoracic impedance change differential signal, electrocardiogram signal and breathing signal, optimizes the wiring complex problem in current thoracic impedance and electrocardiogram detection, and extracts hemodynamics related characteristic parameters in combination with the physiological timing relationship between signals, with accurate, simple, efficient, low cost advantage.The present application is helpful to develop portable noninvasive hemodynamics detection equipment and heart function detection equipment, and corresponding wearable device, improves the clinical applicability of equipment.

An example method includes detecting, at a first set of electrodes disposed on a subject, a first interrogation signal having a first carrier frequency. The example method further includes detecting, in data representing the first interrogation signal, an artifact associated with a second interrogation signal having a second carrier frequency; removing, from the data representing first interrogation signal, the artifact; and determining, by analyzing the data representing the first interrogation signal, a transthoracic impedance of the subject.