Abstract: A system comprises electrocardiogram sensing, glucose sensing circuitry, and processing circuitry. The sensing circuitry is configured to sense an electrocardiogram of a patient. The glucose sensing circuitry is configured to sense glucose levels of the patient. The processing circuitry configured to detect atrial fibrillation of the patient during a time unit based on the electrocardiogram of the patient, determine a first metric, wherein the first metric is associated with atrial fibrillation the patient experiences during the time unit, determine a second metric, wherein the second metric is associated with glucose levels of the patient during the time unit, and generate a health metric, wherein the health metric is determined based on the first and second metrics.

Abstract: A system comprises a memory, a plurality of electrodes, sensing circuitry, and processing circuitry. The sensing circuitry configured to determine one or more tissue impedance values via the electrodes, wherein the tissue impedance values vary as a function of ejection fraction of a heart of a patient. The processing circuitry configured to determine, at least based on the one or more tissue impedance values, a stroke metric indicative of a stroke status of the patient, and store the stroke metric in a memory.

Abstract: A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. The sensor device can include electrodes configured to be disposed at the back of the patient's neck or base of the skull. The electrodes can detect electrical signals corresponding to brain activity in the P3, Pz, and/or P4 brain regions or other brain regions. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and analyze it to indicate whether the patient has suffered a stroke.

Abstract: A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. The sensor device can include electrodes configured to be disposed at the back of the patient's neck or base of the skull. The electrodes can detect electrical signals corresponding to brain activity in the P3, Pz, and/or P4 brain regions or other brain regions. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and analyze it to indicate whether the patient has suffered a stroke.