Abstract: Described herein is a system and method of automatically monitoring QT intervals in a patient based on one or more EKG signals received from attached monitoring devices. Each EKG signal is analyzed to detect attributes of the first and second EKG signals, including QRS onset information, QRS peak information, and T-wave offset information. A QT interval is calculated based on QRS onset information derived from the first EKG signal and T-wave offset information derived from the second EKG signal. The calculated QT interval is compared to thresholds to detect elongation of the QT interval and an alert is generated in response to a detected elongated QT interval.

Abstract: An injectable detecting device is provided for use in physiological monitoring. The device includes a plurality of sensors axially spaced along a body that provide an indication of at least one physiological event of a patient, a monitoring unit within the body coupled to the plurality of sensors configured to receive data from the plurality of sensors and create processed patient data, a power source within the body coupled to the monitoring unit, and a communication antenna external to the body coupled to the monitoring unit configured to transfer data to/from other devices.

Abstract: A system and method for detecting arrhythmic electrocardiogram (ECG) signals includes defining a plurality of threshold heart rates and rate-dependent sensitivity levels for detecting arrhythmic ECG episodes, wherein more clinically relevant heart rates are assigned rate-dependent sensitivity levels with higher sensitivities. ECG signals are monitored by a medical device, and monitored ECG signals are processed using the plurality of threshold heart rates and rate-dependent sensitivity levels to detect and capture arrhythmic ECG segments.

Abstract: An adherent device is configured to adhere to the skin of the patient with an adherent patch, for example breathable tape, coupled to at least four electrodes. The device comprises impedance circuitry coupled to the at least four electrodes and configured to measure respiration of the patient to detect sleep apnea and/or hypopnea. The impedance circuitry may be used to measure hydration of the patient. An accelerometer can be mechanically coupled to the adherent patch such that the accelerometer can be coupled to and move with the skin of the patient. Electrocardiogram circuitry to generate an electrocardiogram signal may be coupled to at least two of the at least four electrodes to detect the sleep apnea and/or hypopnea.

Abstract: A system and method of monitoring and reporting premature ventricular contractions (PVCs) detected in a patient is described. The method includes monitoring an electro-cardiogram (ECG) signal of the patient with an adherent device that includes a plurality of electrodes. Premature ventricular contraction (PVC) beats are detected based on the monitored ECG signal, and ECG episodes associated with detected PVC beats are stored for subsequent analysis. A morphology signal is calculated by quantifying the stored ECG episodes associated with detected PVC beats, wherein the morphology signal numerically represents the shape of the detected PVC beat. The PVC beats are then numerically clustered based on the calculated morphology signals to group PVC beats having a similar morphology or shape, and a report is generated based on the clustering of the PVC beats.

Abstract: An injectable device for use in a subcutaneous physiological monitoring of a patient includes a body, a plurality of sensors, and a monitoring unit. The plurality of sensors provide an indication of at least one physiological event of a patient, wherein the plurality of sensors includes two or more electrodes in contact with tissue of the patient. The monitoring unit is located within the body and is coupled to the plurality of sensors and configured to monitor a physiologic signal of the patient using the electrodes, wherein the physiologic signal includes an impedance signal related to hydration of tissue of the patient and wherein the monitoring unit is further configured to, based at least in part on the impedance signal measured from the patient, detect an impending cardiac decompensation of the patient.

Abstract: A system and method for decompensation prediction of a heart failure patient with one or more injectable detecting systems communicating wirelessly with a remote monitoring system. The system includes one or more injectable detecting systems having a plurality of sensors that provide an indication of at least one physiological event of a patient, a wireless communication device coupled to the one or more injectable detecting systems and configured to transfer patient data directly or indirectly from the one or more injectable detecting systems to a remote monitoring system, and a remote monitoring system coupled to the wireless communication device, the remote monitoring system using processed data to determine heart failure status and predict impending decompensation of the patient.

Abstract: Methods and apparatus combine patient measurement data with demographic or physiological data of the patient to determine an output that can be used to diagnose and treat the patient. A customized output can be determined based the demographics of the patient, physiological data of the patient, and data of a population of patients. In another aspect, patient measurement data is used to predict an impending cardiac event, such as acute decompensated heart failure. At least one personalized value is determined for the patient, and a patient event prediction output is generated based at least in part on the personalized value and the measurement data. For example, bioimpedance data may be used to establish a baseline impedance specific to the patient, and the patient event prediction output generated based in part on the relationship of ongoing impedance measurements to the baseline impedance. Multivariate prediction models may enhance prediction accuracy.

Abstract: Systems and methods of detecting an impending cardiac decompensation of a patient measure at least two of an electrocardiogram signal of the patient, a hydration signal of the patient, a respiration signal of the patient or an activity signal of the patient. The at least two of the electrocardiogram signal, the hydration signal, the respiration signal or the activity signal are combined with an algorithm to detect the impending cardiac decompensation.

Abstract: Methods and devices for monitoring and/or treating patients comprise a switch to automatically start-up the device when the device contacts tissue. By automatically starting up the device, the device may be installed without the clinician and/or user turning on the device, such that the device can be easy to use. In many embodiments, the device comprises startup circuitry with very low current and/or power consumption, for example less than 100 pA. The startup circuitry can detect tissue contact and turn on circuitry that is used to monitor or treat the patient.