A61B5/276

CONTACT STATE DETECTION APPARATUS AND WEARABLE DEVICE

A contact state detection apparatus and a wearable device. The contact state detection apparatus includes: a first electrode and a second electrode, the first electrode and the second electrode being configured to receive an alternating current signal and a first signal to output a differential signal, the differential signal including the first signal and a second signal, the first signal being a detection signal of physiological information of a detected object, and the second signal being a signal formed after the alternating current signal is modulated by the first electrode and the second electrode; and a sampling circuit connected to the first electrode and the second electrode, the sampling circuit being configured to sample the differential signal to obtain a target sampling signal, and the target sampling signal including a first sampling signal corresponding to a first signal and a second sampling signal corresponding to the second signal.

CONTACT STATE DETECTION APPARATUS AND WEARABLE DEVICE

A contact state detection apparatus and a wearable device. The contact state detection apparatus includes: a first electrode and a second electrode, the first electrode and the second electrode being configured to receive an alternating current signal and a first signal to output a differential signal, the differential signal including the first signal and a second signal, the first signal being a detection signal of physiological information of a detected object, and the second signal being a signal formed after the alternating current signal is modulated by the first electrode and the second electrode; and a sampling circuit connected to the first electrode and the second electrode, the sampling circuit being configured to sample the differential signal to obtain a target sampling signal, and the target sampling signal including a first sampling signal corresponding to a first signal and a second sampling signal corresponding to the second signal.

DETECTING VENTRICULAR LEAD DISLODGEMENT DURING ATRIAL FIBRILLATION
20170274204 · 2017-09-28 ·

A medical device system and method for detecting dislodgement of a ventricular lead determines one or more characteristics of a cardiac signal received via the ventricular lead that are associated with dislodgement of the ventricular lead during atrial fibrillation, and detects dislodgement of the ventricular lead based on the determined characteristics. The medical device and system provides a lead dislodgment alert in response to detecting dislodgement. In some examples, an implantable medical device withholds delivery of a ventricular defibrillation therapy based on detecting dislodgement of the ventricular lead.

Estimation of electrode-tissue contact using oscillator at common ground of electrocardiogram (ECG) system
11241281 · 2022-02-08 · ·

A system includes signal acquisition circuitry, an oscillator circuit, and a processor. The signal acquisition circuitry is configured to receive from an intra-cardiac probe multiple intra-cardiac signals acquired by multiple electrodes of the probe, and to further receive a common ground signal for the multiple intra-cardiac signals. The signal acquisition circuitry is further configured to digitize the intra-cardiac signals relative to the common ground signal so as to produce multiple digital signals. The oscillator circuit is configured to generate an Alternating Current (AC) signal and to apply the AC signal to the common ground signal provided to the signal acquisition circuitry. The processor is configured to detect the AC signal in the multiple digital signals, and to assess, based on the detected AC signal, respective qualities of physical contact between the electrodes and cardiac tissue.

Determining sensor data quality based on bioimpedance information

An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.

Determining sensor data quality based on bioimpedance information

An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.

Multi-function health monitor with integrated cellular module
09808165 · 2017-11-07 ·

A system and method for a multi-function remote ambulatory cardiac monitoring system. The system includes a housing and a microprocessor disposed within the housing. The microprocessor controls the remote ambulatory cardiac monitoring system. The system also includes an electrode for sensing ECG signals and the electrode being in communication with the microprocessor. An integrated cellular module also is included in the system, and the cellular module is connected to the microprocessor and disposed within the housing. The integrated cellular module transmits ECG signals to a remote center.

Multiple electrode vectors for implantable cardiac treatment devices
09764152 · 2017-09-19 · ·

The implantable cardiac treatment system of the present invention is capable of choosing the most appropriate electrode vector to sense within a particular patient. In certain embodiments, the implantable cardiac treatment system determines the most appropriate electrode vector for continuous sensing based on which electrode vector results in the greatest signal amplitude, or some other useful metric such as signal-to-noise ratio (SNR). The electrode vector possessing the highest quality as measured using the metric is then set as the default electrode vector for sensing. Additionally, in certain embodiments of the present invention, a next alternative electrode vector is selected based on being generally orthogonal to the default electrode vector. In yet other embodiments of the present invention, the next alternative electrode vector is selected based on possessing the next highest quality metric after the default electrode vector. In some embodiments, if analysis of the default vector is ambiguous, the next alternative electrode vector is analyzed to reduce ambiguity.

Implanted lead analysis system and method

Implanted medical device data is received, where the data was sensed by a first lead portion and a sensor over a time period. The number of detected noise events sensed by the first lead portion is counted based on applying first noise detection criteria to the data sensed by the first lead portion. The number of detected noise events over the sensor is counted based on applying second noise detection criteria to the data sensed by the sensor. The mean number of detected noise events is calculated for the first lead portion and sensor based on the number of noise events sensed by the first lead portion and the number of noise events sensed by the sensor. Potential lead failure in the first lead is recorded if the number of detected noise events over the first lead is greater than the mean number of noise events by at least 5%.

Electrocardiogram monitoring

Devices, systems, and methods are disclosed that identify a type of cable coupled to a receptacle of a defibrillator and that activate one or both of an ECG monitoring module and an energy storage circuit based at least in part on the identified cable type. The cable-type identification may allow a defibrillator to, for example, operate in either or both of an ECG monitoring mode and/or a therapy mode, based on the type of cable that is coupled to the defibrillator. The disclosed devices, systems, and methods can monitor an ECG of a patient and deliver defibrillation therapy to the patient, depending on the type of cable coupled to the defibrillator and/or the type of detected ECG signal of the patient.