Technologies are provided for monitoring of status changes of a cardiopulmonary condition. In some cases, a system includes a wearable device having multiple electrodes and multiple sensor devices. The multiple sensor devices include an electric sensor device functionally coupled with the multiple electrodes and configured to generate first measurement signals during a measurement period, and also include a movement sensor device configured to generate second measurement signals during the measurement period. The system also includes a computing device configured to communicate with the wearable device and further configured to receive the first measurement signals and the second measurement signals, and determine, using a combination of the first and second measurement signals, a value of a metric or respective values in a combination of metrics, where the metric and/or the combination of metrics may be indicative of status of a cardiopulmonary condition of the subject.

Technologies are provided for monitoring of status changes of a cardiopulmonary condition. In some cases, a method includes: generating, using thoracic impedance (TI) measurement signals during a time interval, respiration signals corresponding to a subject, where the TI measurement signals are time-dependent; generating, using acceleration measurement signals during the time interval, movement signals corresponding to movement of a chest wall of the subject, where the acceleration measurement signals are time-dependent; determining, over the time interval, using the respiration signals and the movement signals, multiple values of a metric associated with respiration of the subject; monitoring, over the time interval, using the multiple values, a time-dependence of the metric; and identifying, based on the time-dependence, a status change of a cardiopulmonary condition of the subject.

Technologies are provided for monitoring of status changes of a cardiopulmonary condition. In some cases, a method includes: receiving, thoracic impedance (TI) measurement signals corresponding to a subject, the TI measurement signals being time-dependent and obtained during a time interval; generating, using the TI measurement signals, respiration signals corresponding to the subject during the time interval; determining, over the time interval, using the respiration signals, multiple values of a ratio of an exhalation time and an inhalation time of the subject; monitoring, over the time interval, using the multiple values, a time-dependence of the ratio; and identifying, based on the time-dependence, a status change of a cardiopulmonary condition of the subject.

An apparatus and process (100) for processing data (101, 102, 103) obtained by an imaging technique enables an improvement of a determination of quality and quantity of ventilation of the lungs. By including a correction data set KDS determined during one or more inhalation phases, it is determined which effects result from adjustments of pressure levels (PEEP.sub.A, PEEP.sub.B) (81, 82) during ventilation. The result of the determination is provided as an output signal (900).

Systems and methods are provided for delivering neurostimulation therapies to patients. Stimulation from an implantable medical device (IMD) may be suspended in response to detecting a patient discomfort event, such as a cough, throat irritation, or voice alteration. The suspension period may be based on at least one of a severity level of the patient discomfort event and a patient physical state, such as being asleep or lying down. Detection of a patient discomfort event may be calibrated.

An impedance-based respiration monitoring system for apnea detection includes at least three surface electrodes configured to record impedance respiration data from a patient's torso, a signal processing system, and an apnea detection module. The signal processing system is configured to generate a first respiration lead formed by a first set of surface electrodes from the at least three surface electrodes, the first respiration lead providing a first series of impedance measurements, and to generate a second respiration lead formed by a second set of surface electrodes attached to the patient's torso, the second lead providing a second series of impedance measurements. The apnea detection module is executable on a processor to calculate a first apnea metric based on the first series of impedance measurements, and calculate a second apnea metric based on the second series of impedance measurements. An apnea event is then detected based on the first apnea metric and the second apnea metric.

An electrode padset and a method of using the electrode padset are disclosed herein. The electrode padset is a single unit, consisting of multiple patient-contacting conductive pads arranged on a single piece of material. The padset is comprised of a plurality of conductive pads, at least one conductive pad adapted to emit an electrical signal and at least one other conductive pad adapted to receive an electrical signal, and an electrically conductive material coupling the conductive pads.

In some examples, processing circuitry of a medical device system determines, for each of a plurality of patient parameters, a difference metric for a current period based on a value of a patient parameter determined for the current period and a value of the patient parameter determined for an immediately preceding period, and determines a score for the current period based on a sum of the difference metrics for at least some of the plurality of patient parameters. The processing circuitry determines a threshold for the current period based on scores determined for N periods that precede the current period, compares the score for the current period to the threshold, and determines whether to generate an alert indicating that an acute cardiac event of the patient, e.g., ventricular tachyarrhythmia, is predicted, and/or deliver a therapy configured to prevent the acute cardiac event, based on the comparison.

A medical device for measuring an impedance of a patient or mammal when a current is applied by electrodes. The medical device includes an output that transmits a drive signal to a set of drive electrodes coupled to a patient and an input that receives a sense signal generated by a set of sensing electrodes coupled to the patient. A processor determines the impedance of the patient based on the drive signal transmitted to the set of drive electrodes and the sense signal received by the set of sensing electrodes.