In embodiments, a wearable cardioverter defibrillator (WCD) system includes a support structure for wearing by an ambulatory patient. When worn, the support structure maintains electrodes on the patient's body. Different pairs of these electrodes define different channels, and different patient ECG signals can be sensed from the channels. The ECG signals can be analyzed to determine which one is the best to use, for the WCD system to make a shock/no shock decision. The analysis can be according to widths of the QRS complexes, consistency of the QRS complexes, or heart rate agreement statistics.

A method of determining signal quality in a patient monitoring device includes acquiring one or more signals using the patient monitoring device. One or more signal quality metrics are determined based on the one or more acquired signals. A noise condition is detected based on the one or more signal quality metrics, and a determination is made whether the noise condition should be classified as intermittent or persistent. One or more actions are taken based on the classification of detected noise as intermittent or persistent.

A method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy is provided. The method includes receiving cardiac data and determining a cardiac index based upon the cardiac data. The method includes determining an increased risk of death associated with epilepsy if the indices are extreme, issuing a warning of the increased risk of death and logging information related to the increased risk of death. Also presented is a second method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy comprising receiving at least one of arousal data, responsiveness data or awareness data and determining an arousal index, a responsiveness index or an awareness index, where the indices are based on arousal data, responsiveness data or awareness data respectively. The second method includes determining an increased risk of death related to epilepsy if indices are extreme values, issuing a warning of the increased risk of death and logging information related to the increased risk of death. A computer readable program storage device is also provided. Also provided is a method for receiving body data, determining a cardiac, an arousal, a responsiveness, or a kinetic index, determining an increased or increasing risk of death over a first time window relating to a patient with epilepsy and issuing a warning and logging relevant information.

Systems, methods, and computer software for detecting atrial fibrillation are described. Photoplethysmographic (PPG) signal data may be received as communicated by a PPG sensor of a wearable device worn by a user. Heartbeats from a portion of the PPG signal data may be determined and a heart rhythm type may be determined based on at least the heartbeats. A determination of whether the heart rhythm type includes Atrial Fibrillation (AF) may be made, and, when AF is detected, an AF detection alert may be displayed at the wearable device.

Technologies and implementations for a wearable healthcare system including a remote device, a server, and a configurable comparator module (CCM). The CCM may be configured to facilitate communication between the server and a remote device. A wearable medical device (WMD) may be configured to provide electrocardiogram (ECG) data to the server. The CCM may be configured capture one or more portions of the ECG data to be configured and compared at the remote device. Accordingly, the CCM may be configured to display the one or more portions at the remote device capable of being utilized by a person at the remote device.

In one aspect, the disclosed technology relates to systems that provide real-time notification of the onset and offset of atrial fibrillation to a patient and a treating physician, enabling the physician to optimize and individualize the care for the AF patient. The care can include initiating or terminating anticoagulation medications, initiating or terminating other medications to treat cardiac conditions such as heart failure, coronary artery disease, etc. In another aspect, the disclosed technology relates to methods for detecting atrial fibrillation, and includes monitoring a patient for the onset of atrial fibrillation; and only upon detection of the onset of atrial fibrillation, and upon the direction of a treating physician, administering an anti-coagulant medication to the patient.

A system includes a millimeter-wave radar sensor disposed on a circuit board, a plurality of antennas coupled to the millimeter-wave radar sensor and disposed on the circuit board, and a processing circuit coupled to the millimeter-wave radar sensor and disposed on the circuit board. The processing circuit is configured to determine vital signal information based on output from the millimeter-wave radar sensor.

According to an aspect, a method and system for displaying heart rate variability on a display device includes obtaining patient heart rate variability from heart rate information. At least one indicator corresponding to the heart rate variability is superimposed over the heart rate variability on the display device and used to determine a patient status. The patient status is identified as it corresponds to the at least one indicator, such as a color, and communicated to a clinician. The device therefore provides a visual indication of patient status based on the graphic display of the heart rate variability. A minimum threshold value for the heart rate variability is indicated on the display device. An alarm is activated when the minimum threshold value of the heart rate variability is reached and deactivated when the heart rate variability exceeds the minimum threshold value.

Embodiments of the disclosure provide a monitoring method and device. The method includes: obtaining a physiological signal; performing waveform detection on the physiological signal to determine a target waveform position sequence; performing waveform classification on a physiological signal segment corresponding to the target waveform position sequence, to determine a waveform type of each physiological signal segment; performing anomaly detection on classified physiological signal segments by using at least two preset anomaly detection methods, and generating a target alarm event sequence according to detection results of the at least two anomaly detection methods; and outputting the target alarm event sequence. The method of the embodiments of the disclosure can not only make full use of information about an original physiological signal, but can also take advantage of at least two anomaly detection methods, thereby reducing false alarms and missed alarms and improving alarm accuracy.

A method for QT correction is provided, the method comprising receiving an ECG signal; extracting a plurality of beat-to-beat (RR) intervals; extracting a plurality of QT intervals; computing a first probability distribution for a range of QT values based on the plurality of QT intervals; computing a second probability distribution for a range of QT values based on the plurality of QT intervals and the plurality of RR intervals; solving one or more points, wherein the first probability distribution and the second probability distribution intersect or wherein a difference between the first probability distribution and the second probability distribution is below a pre-defined difference threshold; designating one of one or more QT values corresponding to the one or more points as a corrected QT interval for a given QT interval of the plurality of QT intervals.