An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire physiological data of a patient, at least one network interface and at least one processor coupled to the at least one sensor and the at least one network interface. The at least one processor is configured to detect, via the at least one network interface, a medical device, to establish a secure communication session with the medical device via the at least one network interface, to detect a data capacity of the secure communication session, to identify a category of patient data associated with the data capacity, and to transmit patient data of the category to the medical device via the secure communication session.

An electrophysiology map, for example a map of arrhythmic substrate, can be generated by acquiring both geometry information and electrophysiology information pertaining to an anatomical region, and associating the acquired geometry and electrophysiology information as a plurality of electrophysiology data points. A user can select two (or more) electrophysiological characteristics for display, and can further elect to apply various filters to the selected electrophysiological characteristics. The user can also define various relationships (e.g., Boolean ANDs, ORs, and the like) between the selected and/or filtered characteristics. The user-selected filtering criteria can be applied to the electrophysiology data points to output various subsets thereof. These subsets can then be graphically rendered using various combinations of colorscale, monochrome scale, and iconography, for example as a three-dimensional cardiac electrophysiology model.

A system for assessing a sympathovagal balance of a patient includes a generator configured to produce stimulation pulses, a stimulator that receives the stimulation pulses produced by the generator and outputs a stimulation energy, a sensor configured to measure a physiological signal, and a processor. The processor is configured to control the generator during a plurality of sequences to produce the stimulation pulses over a test period, determine a biological parameter of a current activity of the patient derived from the physiological signal, determine a variation of the biological parameter resulting from the stimulation pulses, and determine a sympathovagal balance index according to the variation in the biological parameter.

A bio-information analysis device includes a measuring unit that measures biometric waveforms of a subject, and a calculating unit that calculates a matching rate of the biometric waveforms based on shapes and magnitudes of the biometric waveforms measured by the measuring unit. In the bio-information analysis device, the biometric waveforms may be electrocardiogram waveforms.

The present invention is related to a cardiovascular monitoring device including an inflatable cuff for surrounding a limb of a user, at least a first and a second electrodes, a controlling circuitry with a processor accommodated in a housing, and a display element. The controlling circuitry is configured to perform a blood pressure measurement through controlling a pressure inside the inflatable cuff, and perform an electrocardiogram measurement by using the electrodes. The processor is also configured to provide a diastolic blood pressure and a systolic blood pressure when the blood pressure measurement is performed, and to provide a heart rhythm information when the electrocardiogram measurement is performed. Further, for achieving a better and more stable contact between the electrodes and the user's skin, the present invention provides an improved structure with electrodes arranged thereon based on the conventional blood pressure monitor.

When detecting ischemia and/or myocardial infarction in a subject, electrocardiogram (ECG) segments are analyzed for elevated ST segments indicative of ischemia and/or infarction. To mitigate false positive alerts, an ECG segment comprising an elevated ST segment that triggers an alert is presented to a clinician for verification as being indicative of ischemia or infarction, or as being attributable to a confounding condition not indicative of ischemia or infarction. Clinician feedback is used to adjust an elevated ST segment detection algorithm to improve accuracy and mitigate false positive alerts.

Methods and systems are provided for discriminating rhythm patterns in cardiac activity. The method and system obtain cardiac activity data for multiple cardiac beats over a predetermined period of time. Multi-beat segments within the cardiac activity data exhibit different rhythm patterns of interest including fast and slow rhythm patterns. The method and system calculate a cardiac beats timing relation representative of intervals between the cardiac beats within a measurement window, wherein the measurement window is configured to overlap the corresponding multi-beat segment. The method and system designate the cardiac beats timing relation to have one of the rhythm patterns of interest based on a rate threshold, identifies when successive multi-beat segments exhibit rhythm patterns that transition between the fast and slow irregular rhythm patterns and records the irregular rhythm pattern transition in connection with the cardiac activity data.

Embodiments of the present disclosure provide for an apparatus for opportunistic measurements and processing of a user's context. In one instance, the apparatus may include a processing block, a first sensor having first and second electrodes disposed on a work surface of the apparatus, to provide first readings of a user's physiological context in response to a contact between the electrodes and respective hands of a user, and a second sensor coupled with the processing block and having a sensitive surface embedded in one of the first or second electrode. The second sensor may provide second readings of the user's physiological context and a wake-up signal to the processing block in response to proximity of one of the hands to the sensitive surface. The processing block may facilitate process the user's physiological context in response to a receipt of the wake-up signal. Other embodiments may be described and/or claimed.

The present disclosure provides a system and method of determining a risk score for triage. In particular, a system is provided for providing an assessment of risk of a cardiac event for a patient, for example an incoming patient to a hospital emergency department complaining of chest pain. In the disclosure, the system includes an input device for measuring physiological data based vital signs parameter of the patient, a twelve-lead electrocardiogram (ECG) device for establishing an ECG obtained from results of the electrocardiography procedure, and determining an ECG parameter and a heart rate variability (HRV) parameter therefrom. An ensemble-based scoring system is further provided, establishing weighted classifier based on past patient data and where the vital signs parameter, the ECG parameter and the HRV parameter are compared to corresponding weighted classifiers to determine a risk score. A corresponding method to determine a risk score for triage is also provided.

There is described a technique using apparatus for recording and analyzing a surface electrocardiogram (ECG) for distinguishing a physiological signal from noise. The technique involves aligning and averaging multiple surface electrogram records taken for repeated pacing sequence with the same interval between pacing stimuli.