A method for monitoring specific activity parameters of the human heart, where ECG and PCG signal monitoring is performed simultaneously by at least two electrodes placed on the chest in such a way that the ECG signal is utilized as a reference time point during PCG monitoring, and monitoring is performed with a measuring unit consisting of a couple of measuring heads containing combined ECG and PCG electrodes, a controlling master measuring head and a slave measuring head performing synchronized implementation, and a computing evaluating unit which is in wireless data communication connection with the above unit and is capable of data processing. ECG and PCG signals are simultaneously monitored by two measuring heads, each comprising an ECG electrode and a PCG electrode, one of the measuring heads serving as a master measuring head and the other one of the measuring heads serving as a slave measuring head.

A method for monitoring specific activity parameters of the human heart, where ECG and PCG signal monitoring is performed simultaneously by at least two electrodes placed on the chest in such a way that the ECG signal is utilized as a reference time point during PCG monitoring, and monitoring is performed with a measuring unit consisting of a couple of measuring heads containing combined ECG and PCG electrodes, a controlling master measuring head and a slave measuring head performing synchronized implementation, and a computing evaluating unit which is in wireless data communication connection with the above unit and is capable of data processing. ECG and PCG signals are simultaneously monitored by two measuring heads, each comprising an ECG electrode and a PCG electrode, one of the measuring heads serving as a master measuring head and the other one of the measuring heads serving as a slave measuring head.

An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.

An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.

A noninvasive blood pressure monitor. The noninvasive blood pressure monitor may include an inflatable cuff, a pressure transducer, one or more air pumps, and a processor. The processor may control the air pump(s) so as to initiate inflation of the cuff. The processor may also identify an oscillometric signal in an output of the pressure transducer, and may determine an envelope of the oscillometric signal. The processor may also determine one or more characteristics of the envelope of the oscillometric signal, and may control the air pump(s) so as to stop inflation of the cuff based on the one or more characteristics of the envelope of the oscillometric signal.

Disclosed is a sandwich assembly containing a thin film electrode array for use with high density electrodes. To minimize the volume required by the associated electronics, the electrode array and integrated circuits are sandwiched over a Printed Circuit Board (PCB), which may have other integrated circuits on an opposite side. Among other things, the disclosed apparatus, system, and method improve over previous systems by providing holes and vias that facilitate communication between a custom chip above the PCB and a field-programmable gate array (FPGA) below. The thin film electrode array can be fastened by bucking a pillar of stacked gold or other metal balls to rivet the thin film flex circuit. The system can include a thin film array having embedded wire traces and holes, a PCB having vias aligned with the holes, chips including an analog-to-digital converter (ADC) sandwiching the thin film, and solder connections from the chips through the holes to the vias.

A flexible, artificial membrane circuit comprised of controlled electromagnetic coils placed in contact with the surface of tissue-capable-of-generating-an-action-potential for measurement and stimulation of activity in discrete regions of tissue. Circuit includes control systems, power systems and wireless communication systems as well to allow coil stimulation activity to be controlled by an outside source and to relay measurements of activity to an outside device.

A flexible, artificial membrane circuit comprised of controlled electromagnetic coils placed in contact with the surface of tissue-capable-of-generating-an-action-potential for measurement and stimulation of activity in discrete regions of tissue. Circuit includes control systems, power systems and wireless communication systems as well to allow coil stimulation activity to be controlled by an outside source and to relay measurements of activity to an outside device.

An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.

An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.