To provide a blood pressure estimating device whereby information relating to the blood pressure of a subject can be acquired by a simple method. A blood pressure estimating device 10 is provided with a frequency analysis unit 11 for specifying the peak value of the heart sound frequency of a subject, and a blood pressure estimating unit 17 for determining information relating to the blood pressure of the subject on the basis of the peak value of the frequency. It is clear that there is a positive correlation between the peak value of the heart sound frequency and the blood pressure value; therefore, by analyzing the heart sound of a subject and specifying a frequency peak value, the blood pressure value of the subject can be easily and accurately estimated.

To provide a blood pressure estimating device whereby information relating to the blood pressure of a subject can be acquired by a simple method. A blood pressure estimating device 10 is provided with a frequency analysis unit 11 for specifying the peak value of the heart sound frequency of a subject, and a blood pressure estimating unit 17 for determining information relating to the blood pressure of the subject on the basis of the peak value of the frequency. It is clear that there is a positive correlation between the peak value of the heart sound frequency and the blood pressure value; therefore, by analyzing the heart sound of a subject and specifying a frequency peak value, the blood pressure value of the subject can be easily and accurately estimated.

Embodiments of the present disclosure are directed to an electrocardiogram (ECG) monitoring device embedded into the construct of a controller (e.g., video game controller, steering wheel etc.) to monitor a user's heart health and diagnose various conditions (e.g., AFib, tachycardia, bradycardia, etc.). The controller may comprise a set of electrodes including electrodes to contact the user's hands and one or more electrodes on the back of the controller that can be used to contact the user's extremities as a 3rd contact point to provide additional leads for higher accuracy ECG sensing. The set of electrodes may be positioned at locations on the controller where the user's hands are relatively stable, thus minimizing motion artifacts caused by muscular movement (thereby allowing for signal stability and longevity).

A method is provided for predicting that a caregiver will order a blood transfusion during a treatment. The method includes obtaining, on a processor, first data that indicates values for one or more parameters of a characteristic of a peak of a Fourier transform of a continuous photoplethysmographic (PPG) waveform or a continuous electrocardiogram (ECG) waveform or both collected during the treatment. The method further includes applying, on the processor, coefficients to the values for the one or more parameters. The method further includes determining, on the processor, second data that indicates a prediction that the caregiver will order the blood transfusion during the treatment based on applying the coefficients to the values. The method further includes presenting on a display device output data based on the second data. An apparatus is also provided for predicting that the caregiver will order the blood transfusion during the treatment.

The invention generates synthetic composite waveforms for determining an individual's physiological state, and includes steps of: obtaining a periodic physiological signal of an individual within a time frame; analyzing the periodic physiological signal to obtain and to convert peak-to-peak time intervals of the periodic physiological signal into frequencies; establishing a physiological variation waveform according to the variation of the frequencies; defining at least one synthetic basic waveform according to the frequency trend or fluctuation amplitude of the physiological variation waveform; combining at least two synthetic basic waveforms to generate at least one synthetic composite waveform; and defining respectively each of the at least one synthetic composite waveform as a physiological state. The present invention needn't collect many subjects' physiological signals, thereby reducing the amount of information to be analyzed and overcoming the disability to establish a standardized model by statistical analysis methods due to differences among individuals.

A medical monitoring method includes acquiring, using an implantable heart monitoring device implanted in a patient, an electrocardiogram (ECG) signal that is amplitude modulated (AM) by respiration of the patient. The AM ECG signal is analyzed to identify a respiratory pattern of the patient. The identified respiratory pattern is indicated to a user.

The present disclosure provides systems and methods for medical imaging. The method may include obtaining a plurality of channels of electrocardiogram (ECG) signals of a heart of a subject; identifying, from the plurality of channels of ECG signals, a target channel of ECG signal, wherein an amplitude of a characteristic wave of the target channel of ECG signal is the maximum amplitude among amplitudes of corresponding characteristic waves of the plurality of channels of ECG signals; and causing, based on the target channel of ECG signal, an imaging device to perform a scan operation on the heart of the subject.

The present disclosure provides systems and methods for medical imaging. The method may include obtaining a plurality of channels of electrocardiogram (ECG) signals of a heart of a subject; identifying, from the plurality of channels of ECG signals, a target channel of ECG signal, wherein an amplitude of a characteristic wave of the target channel of ECG signal is the maximum amplitude among amplitudes of corresponding characteristic waves of the plurality of channels of ECG signals; and causing, based on the target channel of ECG signal, an imaging device to perform a scan operation on the heart of the subject.

An implantable system detecting electrical signals of a human or animal heart includes a processor, a memory unit, a first detection unit for atrial activity, a second detection unit for right ventricular activity and a third detection unit for left ventricular activity. The system automatically performs steps at regular intervals including detecting an intrinsic right atrial activity using the first detection unit; detecting an intrinsic right ventricular activity using the second detection unit; determining a time between the intrinsic right atrial activity and the intrinsic right ventricular activity, and storing this time as atrioventricular conduction time. Additionally or alternatively the steps include detecting an intrinsic right ventricular activity using the second detection unit; detecting an intrinsic left ventricular activity using the third detection unit; and determining a time between the intrinsic right ventricular activity and the intrinsic left ventricular activity, and storing this time as interventricular conduction time.

A method for accurately extracting an abnormal potential within a QRS, comprising: in an ideal electrocardiographic signal pre-estimation stage, pre-estimating an ideal electrocardiographic signal using a non-linear transformation technology; according to the pre-estimated ideal electrocardiographic signal, further estimating the ideal electrocardiographic signal by using a spline method, so as to accurately estimate the ideal electrocardiographic signal; and according to the accurately estimated ideal electrocardiographic signal, accurately extracting an abnormal potential within the QRS by means of a mobile standard deviation analysis technology. The method can be used not only on an average electrocardiographic signal after multiple superimposition, but also on a single beat electrocardiographic signal.