Methods and systems are described for detecting the likelihood of patent ductus arteriosus (PDA) in an infant using electrocardiogram and photoplethysmographic pulse signals obtained from the upper body and foot of the infant.

An automated wearable device measure physiological signals, and when parameters which cause the wearer to be at risk are measured, the device delivers an antidote for a given medical condition. This prevents overdose or medical conditions from occuring.

A wearable system and method for providing BCG data from a user including a wearable sensor configured to receive cardiogenic surface vibration waveforms, a calibrating sensor configured to receive cardiogenic center-of-mass (COM) vibration waveforms, and a processor configured to use the COM vibration waveforms as a template for modifying the surface vibration waveforms to provide health-related outputs. A systematic approach for elucidating the relationship between surface vibrations of the body in the head-to-foot direction from the wearable sensor, and the movements of the whole body as measured by the calibrating sensor is disclosed. Additionally, a methodology for converting the wearable acceleration signals to BCG signals such that the same analysis and interpretation tools can be used for both measurements is presented. High-resolution measurements of the surface accelerations of the body related to the heartbeat with a low weight accelerometer will minimally load the measurement in the transverse direction.

Disclosed herein are methods of treating cardiac arrhythmia with electronic monitoring in a timely manner. Also disclosed herein are systems for electronic monitoring of cardiac arrhythmia.

Systems and methods for detecting a target physiologic event and storing physiologic information associated with the detected physiologic event are disclosed. A system can receive a physiologic signal obtained from a subject, and detect the target physiologic event using a first portion of the received physiologic signal. The system can confirm the target physiologic event using a second portion of the received physiologic signal. If the target physiologic event is confirmed, the system can store physiologic information associated with the confirmed target physiologic event in a memory.

A system and associated method is disclosed for determining whether signal is valid. The system comprises an electrode apparatus comprising a plurality of electrodes configured to be located proximate tissue of a patient. A display apparatus comprising a graphical user interface, wherein the graphical user interface is configured to present information to a user. A computing apparatus coupled to the electrode apparatus and display apparatus, wherein the computing apparatus is configured to determine whether a signal acquired from a channel associated with an electrode from the plurality of electrodes is valid and sufficiently strong by i) calculating a first derivative of the signal; ii) determining a minimum and maximum derivative from the first derivative; iii) determining whether signs of the minimum and maximum derivative are different; and in response to determining whether the signs of the minimum and maximum derivative are different, displaying on a display apparatus whether the signal is valid.

The present disclosure generally relates to systems and methods of a noninvasive technique for characterizing cardiac chamber size and cardiac mechanical function. A mathematical analysis of three-dimensional (3D) high resolution data may be used to estimate chamber size and cardiac mechanical function. For example, high-resolution mammalian signals are analyzed across multiple leads, as 3D orthogonal (X,Y,Z) or 10-channel data, for 30 to 800 seconds, to derive estimates of cardiac chamber size and cardiac mechanical function. Multiple mathematical approaches may be used to analyze the dynamical and geometrical properties of the data.

Medical devices and methods for using medical devices are disclosed. An example mapping medical device may include a catheter shaft with a plurality of electrodes. The catheter shaft may be coupled to a processor. The processor may be capable of collecting a first set of signals from a first location, collecting a second set of signals from a second location, characterizing the first set of signals over a first time period, characterizing the second set of signals over a second time period, comparing the first set of signals to the second set of signals and matching a first signal from the first set of signals with a second signal from the second set of signals.

There is disclosed a wearable terminal including a main body, a main board provided in the main body, a first touch pad provided in a rear surface of the main body, a flexible board configured to connect the main body and the first touch pad to each other, a band coupled to the main body, wound around a user's wrist to secure the main body to the user's body part, a second touch pad provided in the other surface of one surface contacting with the user's body part when the user wears the band, a flexible board having one end connected to the second touch pad and the other end connected to the main board, and a controller configured to extract an electrocardiogram by measuring a difference of electric potentials of body muscles sensed from the first touch pad and the second touch pad.

Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a system for mapping the electrical activity of the heart. The system may include a catheter shaft with a plurality of electrodes. The system may also include a processor. The processor may be capable of collecting a set of signals from at least one of the plurality of electrodes. The set of signals may be collected over a time period. The processor may also be capable of calculating at least one propagation vector from the set of signals, generating a data set from the at least one propagation vector, generating a statistical distribution of the data set and generating a visual representation of the statistical distribution.