A method of displaying a virtual electrogram for a virtual bipole includes receiving a plurality of electrophysiological signals from a respective plurality of electrodes carried by a multi-dimensional catheter; using the received electrophysiological signals to compute a plurality of virtual electrograms associated with a respective plurality of virtual bipoles, each having a corresponding virtual bipole orientation; selecting a virtual bipole orientation; and displaying the virtual electrogram associated with the virtual bipole having the selected virtual bipole orientation. Aspects of the disclosure can be executed through a graphical user interface of an electroanatomical mapping system that also incorporates a visualization processor.

A system for acquiring an electrical signal comprises: a plurality of electrodes, a plurality of signal quality detectors, each detector, being configured to detect a signal from a pair of electrodes and each detector comprising an analog-to-digital converter for providing a digital representation of a first resolution of the detected signal; a signal selection logic for determining at least one quality measure of each of the digital representations for selecting a pair of electrodes for signal acquisition; a multiplexer for selecting a pair of electrodes for signal acquisition based on a control signal from the signal selection logic; and a signal processing unit for performing analog-to-digital conversion on the selected signal and providing a digital representation having a second resolution, which is higher than the first resolution.

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.

A medical device has at least one electrode lead with at least one electrode pole that is configured to measure electrical potentials in human or animal tissue, and a measurement and control unit that is connected to the electrode lead. The measurement and control unit is configured to initiate measurements of the impedance via the electrode pole of the electrode lead. The measurements of the impedance have at least one individual measurement, an individual measurement occurring over a defined window of time.

Disclosed are devices and methods for detecting activation of an electronic device, including a biomedical and biometric device. The electronic device can operate in a low-power mode until it is determined that the electronic device is in close proximity to or in contact with a body, and activated. The electronic device can include a first sensor including a first capacitance sensor, a second sensor, and a controller coupled to the first sensor and the second sensor. The controller can receive a first signal from the first sensor and determine that the electronic device is in close proximity to or in contact with a body based on the first signal, and receive a second signal from the second sensor and determine that the electronic device is activated based on one or both of the first signal and the second signal. The electronic device can transition from the low-power mode to an active mode in response to determining that the electronic device is activated.

A physiological sensor device and system, and a correction method are provided. The physiological sensor device includes a physiological signal sensor, a first compensation sensor, and a signal processing device. The physiological signal sensor is attached to an object to be detected to sense a physiological signal value. The first compensation sensor is disposed on the physiological signal sensor. The signal processing device is coupled to the physiological signal sensor and the first compensation sensor. The signal processing device obtains through the first compensation sensor a failure region of the physiological signal sensor partially detached from the object to be detected and obtains a first failure compensation value according to the failure region, so as to compensate the physiological signal value sensed by the physiological signal sensor.

A physiological signal correction device, a correction method, and a wearable device with a correction function are provided. The physiological signal correction device includes a physiological signal sensor, a warping sensor, and a signal processing device. The physiological signal sensor is attached to an object to be detected to obtain a physiological signal value from at least one sensing electrode. The warping sensor is disposed on the physiological signal sensor and detects whether a warping condition of the physiological signal sensor with respect to the object to be detected occurs. The signal processing device corrects the physiological signal value provided by the physiological signal sensor according to the warping condition. The warping condition is caused by a distance between a part of the sensing electrode and the object to be detected or a change in a contact area between a part of the sensing electrode and the object to be detected.

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.

In one embodiment, an ECG monitoring system includes two or more electrodes configured to record cardiac potentials from a patient, at least one processor, and a rapid acquisition module executable on the at least one processor to: determine that an impedance of each electrode is less than an impedance threshold; record initial ECG lead data based on the cardiac potentials; determine that a noise level in each ECG lead of the initial ECG data is less than a noise threshold; start a recording timer once the noise level is below the noise threshold; record an ECG dataset while the noise level is maintained below the noise threshold until the recording timer reaches a predetermined test duration; store the ECG dataset and provide a completion alert.

A heart activity sensor structure includes a flexible substrate being substantially non-conductive, at least two electrodes printed on one side of the flexible substrate and configured to be placed against a skin of a user in order to measure biometric signals related to heart activity, and an electrostatic discharge shield printed on opposite side the flexible textile substrate, compared to the printing of the at least two electrodes, for protecting the at least two electrodes from static electricity.