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.

According to an embodiment, a wearable electronic device may include at least two electrodes for measuring a biometric signal, a living body contact detecting unit configured to apply a voltage to at least one electrode contacting a living body among the at least two electrodes and output information indicating an operation state for biometric signal measurement of the wearable electronic device based on a voltage output from the at least one electrode, and a processor configured to determine the operation state for biometric signal measurement of the wearable electronic device, based on the information received from the living body contact detecting unit. Various other embodiments may be provided.

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.

In at least one example, a medical device is provided. The medical device includes at least one therapy electrode, at least one electrocardiogram (ECG) electrode, at least one acoustic sensor, and at least one processor coupled with the at least one acoustic sensor, the at least one ECG electrode, and the at least one therapy electrode. The at least one processor can receive at least one acoustic signal from the at least one acoustic sensor, receive at least one electrode signal from the ECG electrode, detect at least one unverified cardiopulmonary anomaly using the at least one electrode signal, and verify the at least one unverified cardiopulmonary anomaly with reference to data descriptive of the at least one acoustic signal.

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 electronic device and method are disclosed herein. The electronic device includes a housing, electrodes disposed on a face of the housing, and a processor which implements the method. The method includes in response to an electrocardiogram request, detecting a first signal using a first electrode and a fourth electrode from among the plurality of electrodes, detecting a second signal using a second electrode and the fourth electrode, detecting a third signal using a third electrode and the fourth electrode, and storing in the memory the first signal and the second signal as a first biological signal, the second signal and the third signal as a second biological signal and the third signal and the first signal as a third biological signal in association with the requested electrocardiogram measurement.

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.

Cardiac electrodes and techniques for testing application of the electrodes to a victim are described herein.

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.