18 results about "Cardiac activity" patented technology

A system for cardiac electrical stimulation treatment, comprising: an implantable pulse generator; one or more leads extending from the pulse generator to the heart for applying cardiac electrical stimulation; a controller programmed with at least one treatment plan for applying cardiac electrical stimulations, the controller configured to automatically update the treatment plan in response to actual cardiac activity by updating one or more parameters including: a time period during which cardiac electrical stimulations are applied; a rate of cardiac electrical stimulations; an amount of energy delivered at each cardiac electrical stimulation.

This disclosure is directed to systems and techniques for determining an evidence level of an atrial tachycardia (AT) episode based on heart beat intervals in the cardiac activity data over a pre-determined time period. Based on a determination that the evidence level indicates relatively regular heart beat intervals, the example techniques apply a first set of AT detection criteria and indicate a detection of an AT episode based on satisfaction of at least one of the first set of AT detection criteria. Based on a determination that the evidence level indicates relatively irregular heart beat intervals, the example techniques apply a second set of AT detection criteria and indicate a detection of an AT episode based on based on satisfaction of at least one of the second set of AT detection criteria.

The invention belongs to the technical field of cardio-pulmonary resuscitation equipment, and particularly discloses a multifunctional cardio-pulmonary resuscitation control method and system integrating pacing, defibrillation and pressing, and the method comprises the following steps: collecting an electrocardio rhythm of a patient, and judging whether the electrocardio rhythm of the patient is a defibrillable rhythm or a non-defibrillable rhythm; if the electrocardio rhythm of the patient is a defibrillable rhythm, defibrillation is executed immediately; if the electrocardio rhythm of the patient is an undefibrillable rhythm, the pressing module is controlled to execute pressing, and whether the pace-making module is controlled to output pace-making pulses and the output time sequence or not is determined according to the specific type of the undefibrillable rhythm. By the adoption of the technical scheme, different treatment modes are adopted for patients with rhythms incapable of being defibrillated according to whether electrocardio activities exist or not, and the pace-making function, the defibrillation function and the pressing function are integrated.

A device configured to be positioned on a limb of a user, includes a physiological sensor configured to generate a cardiac signal characteristic of a user's cardiac activity, an ultrasound transducer configured to generate a Doppler signal characteristic of blood flow in the limb, a control unit configured to: receive a cardiac signal from the physiological sensor, analyze the received cardiac signal, and in response to detection of a suspected cardiac arrhythmia in the cardiac signal analysis, activate the ultrasound transducer to generate a Doppler signal.

To provide a machine learning system and method that separate abnormal heart activities into different classes.SOLUTION: A method implemented by a determination engine is provided. The method includes receiving one or more pairs of heart beats, generating a model based on the one or more pairs of heart beats, and determining whether two given heart beats are part of the same arrythmia to produce a similarity result for algorithmic input.SELECTED DRAWING: Figure 1

A system and method provide real-time detection of return of spontaneous circulation (ROSC) during cardiac arrest using at least one Doppler ultrasound patch with a pulsed-wave or continuous wave ultrasound transducer that emits an ultrasound beam into a subject's skin over a carotid, femoral, or brachial artery and receives at least one Doppler return signal indicative of blood flow. A fixation mechanism secures the transducer in a fixed position relative to the carotid, femoral, brachial artery, and a wired or wireless communication interface transmits the Doppler return signal to a processing unit. The processing unit receives and analyzes the Doppler return signal using a Doppler-Integrated Cardiac Arrest Flow Analysis (DICAF) algorithm, which uses a machine learning model trained on annotated Doppler waveform datasets to detect a first blood flow pattern generated by chest compressions and a second blood flow pattern generated by intrinsic cardiac activity. The system determines ROSC in real time and generates an alert for the user. The system can also monitor the quality of blood flow generated by chest compressions to guide cardiopulmonary resuscitation.

A medical device system is configured to sense electrical brain activity and sense electrical cardiac activity. The system may detect a concerning heart rate from the electrical cardiac activity and determine that the concerning heart rate is a hemodynamically unstable cardiac rhythm based on the sensed electrical brain activity. The medical device system may generate an output for providing a response to determining that the concerning heart rate is a hemodynamically unstable rhythm.

A system includes a catheter configured for delivery into a body cavity defined by surrounding tissue; a plurality of ultrasound transducers connected to the distal end of the catheter; and an electronic module configured to selectively turn each ultrasound transducer on / off according to a predetermined activation sequence, and to process signals received from each ultrasound transducer to generate at least a 2D display of the surrounding tissue. The user can selectively calculate and display various aspects of cardiac activity. The user can display dipole density (DDM), charge density (CDM), or voltage (V-V). The shape and location of the chamber (surface) and the potential recorded on the electrodes can be displayed. The system can also switch between different display modes, and the display of various types of information can be altered using post-processing tools. A method is also provided.

The following relates generally to an injectable cardiac monitor. In some embodiments, an injectable cardiac monitor includes: a sensor configured to detect a cardiac signal from a mammal, a processor configured to process the detected cardiac signal, a transmitter configured to transmit the processed signal to a computing device, and a capsule for injecting into the mammal. In some implementations, the capsule includes: a body configured to enclose all of the sensor, the processor, and the transmitter, and wings configured to, upon deployment into the mammal, deploy outwardly from the body of the capsule.

To provide a medical monitoring system.SOLUTION: The medical monitoring system includes a sensor apparatus configured to be attached to a body of a user and an electronic device communicatively coupled to the sensor apparatus. The sensor device includes a physiological sensor for acquiring physiological data representing cardiac activity of the user and an acceleration sensor for acquiring acceleration data representing motion of the user. The electronic device includes a processor configured to (i) cause the sensor arrangement to obtain physiological data and acceleration data during a time period, (ii) determine a biomarker representative of a health condition of the user based on the physiological data and the acceleration data, wherein the biomarker is representative of a relationship between a rate of movement of the user and a cardiac activity of the user during the time period, (iii) generate a data structure representative of the biomarker, and (iv) store the data structure in a hardware storage device.SELECTED DRAWING: Figure 3

A system for cardiac electrical stimulation therapy includes an implantable pulse generator, one or more leads extending from the implantable pulse generator to the heart for applying cardiac electrical stimulation, and a controller programmed with at least one therapy program for applying the cardiac electrical stimulation, the controller configured to automatically update the therapy program in response to actual cardiac activity by updating one or more parameters including a time period for applying cardiac electrical stimulation, a cardiac electrical stimulation rate, an amount of energy delivered per cardiac electrical stimulation.

An implantable medical device and method are described that include a housing, a right ventricle (RV) near field (NF) electrode, a far field (FF) electrode, and sensing circuitry. The housing contains one or more processors. The RV NF electrode is electrically connected to the one or more processors and configured to be located within the RV of a heart of a patient and either in contact with ventricular myocardial tissue of the heart or within a threshold proximity of the ventricular myocardial tissue. The FF electrode is configured to be positioned beyond the threshold proximity of the ventricular myocardial tissue. The sensing circuitry is coupled to the RV NF electrode and the FF electrode and configured to define an atrial sensing vector to collect atrial sensing data associated with atrial cardiac activity. The one or more processors are configured to receive the atrial sensing data.

A computer implemented method and system for detecting an arrhythmia are provided. The method is under control of one or more processors configured with executable instructions. The method obtains far field cardiac activity (CA) signals sensed at electrodes located remote from a heart over a period of time and applies a feature attenuation filter to the CA signals to form modified CA signals. The feature attenuation filter reduces potential T-waves as a feature not of interest. The method calculates a duty cycle (DC) characteristic of the modified CA signals with respect to duty cycle boundaries and detects an arrhythmia based on the DC characteristic.

A mechanism for automatically generating and ranking M-mode lines to generate or define M-mode data usable for assessing fetal cardiac activity, such as for determining fetal heart rate. A region of interest is identified in a sequence of ultrasound images that includes the fetal heart. The region of interest is used to define a location of each of a plurality of M-mode lines (e.g., anatomical M-mode lines). A quality measure for each M-mode line is determined based on the M-mode data generated for each M-mode line, and the quality measure is used to rank the M-mode lines.

A system for the early detection of sepsis by means of continuous multiparametric patient monitoring and predictive clinical modeling, the system comprising: a housing designed to be attached to or placed near a patient; a plurality of physiological sensor units arranged within or connected to the housing and configured to continuously acquire physiological signals, including cardiac activity, respiration, temperature, blood oxygen saturation, and blood pressure; a signal conditioning unit electrically connected to each of the numerous physiological sensor units and configured to perform the amplification, filtering, and analog-to-digital conversion of the acquired physiological signals; and a processing unit operationally connected to the signal conditioning unit.a storage unit operationally connected to the processing unit; a communication unit configured to transmit data to external devices; and an alarm generation unit whose processing unit is configured to continuously receive digitized physiological data, perform preprocessing including noise reduction and baseline normalization, extract multi-parameter features, perform a temporal trend analysis across sequential data segments, generate a composite sepsis risk score based on an integrated analysis of the extracted features, and activate the alarm generation unit when the composite sepsis risk score exceeds a predefined or dynamically adjusted threshold.

- Main claim: Adaptive multisensory device for the near-body regulation of physiological and emotional states, comprising: a) a segmented shape structure with several spatially arranged shape segments (A1, A12); b) at least one multisensory module (64) arranged in or on the shape structure for emitting at least one stimulus from the groups of heat, light, scent, sound, vibration, and pressure impulses; c) a system for regulating the degree of hardness with a controllable air cell matrix with several air chambers (46) and / or air cells (50); d) a sensor architecture with at least one sensor for detecting at least one physiological and / or environmental parameter, in particular pressure, respiration, cardiac activity, movement, position, temperature, and / or humidity.e) a control unit for evaluating acquired sensor data and for automatically adjusting at least one operating parameter of at least one multisensor module (64) and / or the hardness control system, f) a low-voltage power supply, characterized in that the form structure, the sensor architecture, the at least one multisensor module (64), the hardness control system, the control unit and the power supply are designed as a technically interacting system, wherein the power supply is wired, contact-based, inductive or a combination thereof and the device is designed as a lying device, a sitting device, a device changeable between several usage states or other body-hugging support unit.

A device is proposed that is configured to be positioned on a user's limb (M), the device (100) comprising: • a physiological sensor (150) configured to generate a cardiac signal characteristic of the user's cardiac activity, • an ultrasonic transducer (180) configured to generate a Doppler signal characteristic of blood flow in the limb (M), • a control unit (140) configured to: ∘ receive a cardiac signal from the physiological sensor (150), ∘ analyze the received cardiac signal, and ∘ in response to the detection of a suspected cardiac arrhythmia in the analysis of the cardiac signal, activate the ultrasonic transducer (180) to generate a Doppler signal.

A system for cardiac electrical stimulation treatment, comprising: an implantable pulse generator; one or more leads extending from the pulse generator to the heart for applying cardiac electrical stimulation; a controller programmed with at least one treatment plan for applying cardiac electrical stimulations, the controller configured to automatically update the treatment plan in response to actual cardiac activity by updating one or more parameters including: a time period during which cardiac electrical stimulations are applied; a rate of cardiac electrical stimulations; an amount of energy delivered at each cardiac electrical stimulation.