Abstract: An impact absorption assembly for a seat back is provided having a deformation zone as least partially disposed above a top surface of a seat back structure. The deformation zone deforms plastically upon an impact from a rearward direction.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: The invention relates to a device for detecting atrial fibrillation of a subject, comprising a member comprising —mechanical connection means to wearably connect the member to a subject; —the member further comprising an optical sensor arranged to measure a signal representing a blood perfusion parameter of the subject; the member comprising the optical sensor and mechanical connection means at such relative positions that when the mechanical connection means connect the member to the subject, the optica! sensor operatively faces the subject. The device is arranged to detect atrial fibrillation of the subject based on the signal measured by the optical sensor.

Abstract: In general, the disclosure describes techniques for predicting the occurrence of an arrhythmia based on an indication of heart rate turbulence. An example method comprises sensing a parameter indicative of heart rate turbulence, measuring heart rate turbulence based on the sensed parameter, and predicting an occurrence of an arrhythmia based on the measured heart rate turbulence.

Abstract: Methods, systems, and/or devices for selecting spinal cord stimulation (SCS) electrode array configurations to provide effective cardiac therapy. Physiological parameters related to the heart may be monitored and analyzed during the delivery of SCS using various SCS electrode array configurations to determine an effect SCS electrode array configuration.

Abstract: Methods, systems, and/or devices for selecting spinal cord stimulation (SCS) electrode array configurations to provide effective cardiac therapy. Physiological parameters related to the heart may be monitored and analyzed during the delivery of SCS using various SCS electrode array configurations to determine an effect SCS electrode array configuration.

Abstract: Methods, systems, and/or devices for selecting spinal cord stimulation (SCS) electrode array configurations to provide effective cardiac therapy. Physiological parameters related to the heart may be monitored and analyzed during the delivery of SCS using various SCS electrode array configurations to determine an effect SCS electrode array configuration.

Abstract: Risk determination for a near fatal ventricular arrhythmia of a patient. An electrocardiogram of a heart of the patient is obtained. A parameter is measured, using an electrocardiogram of a heart of the patient, indicative of an autonomic nervous system of the patient. A numeric score is assigned for the parameter indicative of the conduction system of the heart. A numeric score is assigned for the parameter indicative of the autonomic nervous system. A ratio of the numeric score of the parameter indicative of the conduction system of the heart of the patient and the numeric score of the parameter indicative of the autonomic nervous system of the patient is calculated. The risk of the potentially near fatal ventricular arrhythmia of the patient is determined to be significant if the ratio is greater than a predetermined threshold. An action responsive to the determining step is taken.

Abstract: Risk determination for a near fatal ventricular arrhythmia of a patient. An electrocardiogram of a heart of the patient is obtained. A parameter is measured, using an electrocardiogram of a heart of the patient, indicative of an autonomic nervous system of the patient. A numeric score is assigned for the parameter indicative of the conduction system of the heart. A numeric score is assigned for the parameter indicative of the autonomic nervous system. A ratio of the numeric score of the parameter indicative of the conduction system of the heart of the patient and the numeric score of the parameter indicative of the autonomic nervous system of the patient is calculated. The risk of the potentially near fatal ventricular arrhythmia of the patient is determined to be significant if the ratio is greater than a predetermined threshold. An action responsive to the determining step is taken.

Abstract: Systems, methods and devices for monitoring, analyzing, and processing a patient's heart rate signal for HRV characteristics are described herein. A first heart rate signal is acquired. The first heart rate signal includes at least one indication of an interval duration of cardiac activity. At least one accelerating portion and at least one decelerating portion of the first heart rate signal are identified. An average heart rate signal is acquired. The accelerating portion or the decelerating portion of the first heart rate signal is replaced with the average heart rate signal to produce a second heart rate signal. A frequency spectrum of the second heart rate signal may be obtained and utilized to predict or detect one or more autonomic conditions of a patient. Therapy may initiated or titrated in response to prediction or detection of the autonomic condition.

Abstract: A medical device system and method for monitoring a cardiac signal in a patient senses ventricular R-waves and computes a morphology metric of an R-wave and a corresponding preceding morphology metric of a preceding R-wave. One of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric is compared to an established detection threshold for discriminating premature ventricular contractions from premature atrial contractions. A cardiac signal measurement is computed from the sensed R-waves in response to detecting a premature ventricular comparison based on the comparison.

Abstract: This disclosure describes techniques for generating a risk stratification indicator based on HRT measurements computed using physiological parameters sensed by an implantable medical device (IMD). In some examples, the HRT measurements may be computed by the IMD based on the physiological parameters. In other examples, the IMD may sense the physiological parameters, and transmit data representative of the parameters to an external computing device, such as an IMD programmer, which then computes the HRT measurements. Exemplary physiological parameters include cardiac signals.

Abstract: Methods, systems, and/or devices for selecting spinal cord stimulation (SCS) electrode array configurations to provide effective cardiac therapy. Physiological parameters related to the heart may be monitored and analyzed during the delivery of SCS using various SCS electrode array configurations to determine an effect SCS electrode array configuration.

Abstract: A medical device system and method for monitoring a cardiac signal in a patient senses ventricular R-waves and computes a morphology metric of an R-wave and a corresponding preceding morphology metric of a preceding R-wave. One of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric is compared to an established detection threshold for discriminating premature ventricular contractions from premature atrial contractions. A cardiac signal measurement is computed from the sensed R-waves in response to detecting a premature ventricular comparison based on the comparison.

Abstract: A method and device of distinguishing premature contractions that includes a sensor sensing cardiac signals, and a processor configured to determine a plurality of intervals in response to the sensed cardiac signal, detect a premature contraction being associated with a first R-wave of the plurality of R-waves, determine whether a metric of the first R-wave is greater than a premature contraction threshold, and identify the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to determining whether a metric of the first R-wave is greater than a premature contraction threshold.

Abstract: A method and device of distinguishing premature contractions that includes a sensor sensing cardiac signals, and a processor configured to determine a plurality of R-waves in response to the sensed cardiac signal, detect a premature contraction being associated with a first R-wave of the plurality of R-waves, determining a first area of the detected first R-wave, determine a second area of a second R-wave, determine a ratio of the first area and the second area, compare the ratio to a ratio threshold, and identify the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to the comparing..

Abstract: A method and device of distinguishing premature contractions that includes a sensor sensing cardiac signals, and a processor configured to determine a plurality of R-waves in response to the sensed cardiac signal, detect a premature contraction being associated with a first R-wave of the plurality of R-waves, determine a first area of the detected first R-wave, compare the determined first area to an area threshold, and identifying the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to the comparing.