Abstract: Techniques for detecting infections in a patient in relation to temperature values obtained from implantable temperature sensors are described. An example implantable temperature sensor may be included within a housing of an implantable medical device (IMD). In some examples, the temperature sensor may determine a plurality of temperature values over time. Processing circuitry of the IMD or of an external device may smooth the temperature values and apply an infection detection model to the smoothened temperature signal to determine an infection status of the patient.

Abstract: Techniques are disclosed for automatically calibrating a reference orientation of an implantable medical device (IMD) within a patient. In one example, sensors of an IMD sense a plurality of orientation vectors of the IMD with respect to a gravitational field. Processing circuitry of the IMD processes the plurality of orientation vectors to identify an upright vector that corresponds to an upright posture of the patient. The processing circuitry classifies the plurality of orientation vectors with respect to the upright vector to define a sagittal plane of the patient and a transverse plane of the patient. The processing circuitry determines, based on the upright vector, the sagittal plane, and the transverse plane, a reference orientation of the IMD within the patient. As the orientation of the IMD within the patient changes over time, the processing circuitry may recalibrate its reference orientation and accurately detect a posture of the patient.

Abstract: A medical device is configured to produce an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal meet fall detection criteria. The medical device is configured to receive a truth signal from another device that is not the medical device. The truth signal may indicate that the detected patient fall is a falsely detected patient fall and, responsive to receiving the truth signal, the medical device adjusts at least one fall detection control parameter.

Abstract: This disclosure is directed to systems and techniques for detecting changes in patient health based upon monitoring patient sleep activities.

Abstract: A medical device is configured to produce an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal meet fall detection criteria. The medical device is configured to receive a truth signal from another device that is not the medical device. The truth signal may indicate that the detected patient fall is a falsely detected patient fall and, responsive to receiving the truth signal, the medical device adjusts at least one fall detection control parameter.

Abstract: A medical device is configured to generate fluid status signal data of a patient by determining impedance metrics from an impedance signal, determining cardiac electrical signal amplitudes from a cardiac electrical signal and determining a calibration relationship between the impedance metrics and cardiac electrical signal amplitudes. The medical device generates a fluid status signal data by adjusting cardiac electrical signal amplitudes according to the determined calibration relationship. The fluid status signal data may be displayed or monitored for detecting a change in the patient's fluid status.

Abstract: Techniques for detecting infections in a patient in relation to temperature values obtained from implantable temperature sensors are described. An example implantable temperature sensor may be included within a housing of an implantable medical device (IMD). In some examples, the temperature sensor may determine a plurality of temperature values over time. Processing circuitry of the IMD or of an external device may smooth the temperature values and apply an infection detection model to the smoothened temperature signal to determine an infection status of the patient.

Abstract: Systems and methods for are disclosed for determining whether to output an indication of a urinary tract infection (UTI) in a patient, based on sensor data indicative of one or more common symptoms of UTIs, including, but not limited to, nocturia, fatigue or tremors; fever or chills; agitation or restlessness; lower back pain; painful urination; and presyncope or syncope.

Abstract: Techniques for obtaining impedance data to provide an early warning for heart failure decompensation are described. An example device may be configured to measure subcutaneous impedance values, and increment an impedance score. In some examples, the device may use an adaptive threshold and fluid index in incrementing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient. In some examples, may cause resets in fluid index values and/or determine positions or orientations of the device when determining the impedance score.

Abstract: Techniques for obtaining impedance data to provide an early warning for heart failure decompensation are described. An example device may be configured to measure subcutaneous impedance values, and increment an impedance score. In some examples, the device may use an adaptive threshold and fluid index in incrementing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient.

Abstract: Techniques for determining a likeliness that a patient may incur an adverse health event are described. An example technique may include utilizing a probability model that uses as evidence nodes various diagnostic states of physiological parameters, which may include one or more subcutaneous impedance parameters. The probability model may include a Bayesian Network that determines a posterior probability of the adverse health event occurring within a predetermined period of time.

Abstract: Techniques are disclosed for automatically calibrating a reference orientation of an implantable medical device (IMD) within a patient. In one example, sensors of an IMD sense a plurality of orientation vectors of the IMD with respect to a gravitational field. Processing circuitry of the IMD processes the plurality of orientation vectors to identify an upright vector that corresponds to an upright posture of the patient. The processing circuitry classifies the plurality of orientation vectors with respect to the upright vector to define a sagittal plane of the patient and a transverse plane of the patient. The processing circuitry determines, based on the upright vector, the sagittal plane, and the transverse plane, a reference orientation of the IMD within the patient. As the orientation of the IMD within the patient changes over time, the processing circuitry may recalibrate its reference orientation and accurately detect a posture of the patient.

Abstract: A medical device is configured to produce an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal meet fall detection criteria. The medical device is configured to receive a truth signal from another device that is not the medical device. The truth signal may indicate that the detected patient fall is a falsely detected patient fall and, responsive to receiving the truth signal, the medical device adjusts at least one fall detection control parameter.

Abstract: A medical device is configured to generate fluid status signal data of a patient by determining impedance metrics from an impedance signal, determining cardiac electrical signal amplitudes from a cardiac electrical signal and determining a calibration relationship between the impedance metrics and cardiac electrical signal amplitudes. The medical device generates a fluid status signal data by adjusting cardiac electrical signal amplitudes according to the determined calibration relationship. The fluid status signal data may be displayed or monitored for detecting a change in the patient's fluid status.

Abstract: Techniques for determining a patient's orientation using an accelerometer that is part of a medical device carried by or implanted in a patient. The medical device may use the accelerometer to determine the orientation of the medical device with respect to gravity. When the medical device is fixed in a known orientation on the patient, the medical device may perform a calculation to determine the orientation of a patient. To simplify calculations and reduce power consumption, the device may calculate an inner product (dot product) multiplication between the orientation vector of the medical device and one or more known reference templates. In some examples, the medical device may determine which reference template is closest to the orientation vector, based on the dot product. In other examples, the medical device may determine one or more body part angles for the patient, based on the dot product.

Abstract: Embodiments describe a method of determining etiology of undiagnosed events comprising monitoring electrocardiogram signals and blood pressure of a patient via a medical device, capturing one or more of an ECG segment and a BP reading in response to a triggering event, classifying one or more of the ECG segment and BP reading as normal or abnormal, and determining etiology of undiagnosed symptomatic events based on the classification. Embodiments further describe a medical device comprising sensors for monitoring ECG signals and BP of a patient, circuitry for capturing one or more of ECG segments and BP readings of a patient in response to a triggering event, and a processor for communicating one of more of captured ECG segments and captured BP readings to a remote monitoring center directly or indirectly where the captured ECG segments and captured BP readings are classified as normal or abnormal.

Abstract: The exemplary systems and methods may monitor one or more signals to be used to assess the hemodynamic status of a patient. The one or more signals may be used to calculate, or determine, a plurality of pulse transit times. The plurality of pulse transit times may be used to determine hemodynamic status values that may be indicative of a patient's aggregate hemodynamic status.

Abstract: Embodiments describe a method of determining etiology of undiagnosed events comprising monitoring electrocardiogram signals and blood pressure of a patient via a medical device, capturing one or more of an ECG segment and a BP reading in response to a triggering event, classifying one or more of the ECG segment and BP reading as normal or abnormal, and determining etiology of undiagnosed symptomatic events based on the classification. Embodiments further describe a medical device comprising sensors for monitoring ECG signals and BP of a patient, circuitry for capturing one or more of ECG segments and BP readings of a patient in response to a triggering event, and a processor for communicating one of more of captured ECG segments and captured BP readings to a remote monitoring center directly or indirectly where the captured ECG segments and captured BP readings are classified as normal or abnormal.

Abstract: The exemplary systems and methods may monitor one or more signals to be used to assess the hemodynamic status of a patient. The one or more signals may be used to calculate, or determine, a plurality of pulse transit times. The plurality of pulse transit times may be used to determine hemodynamic status values that may be indicative of a patient's aggregate hemodynamic status.

Abstract: Methods and devices for analyzing posture-induced changes to physiological parameters of a patient (e.g., ejection time, heart rate, etc.) to provide an assessment of one or more conditions of the patient.