A biological sensor to be attached to a living body includes a sensor body configured to obtain biological information; an electrode connected to the sensor body; a first layer member including a housing that forms a housing space in which the sensor body is housed, the electrode being disposed on a lower surface of the first layer member; and a second layer member that is attached to the lower surface of the first layer member so as to expose the electrode and cover the sensor body. At least a part of a connection portion that is provided between the first layer member and the second layer member so as to overlap with a part of the electrode and connects the electrode to the sensor body is provided so as to be disposed in the housing in a plan view of the biological sensor.

An electronic device and method are disclosed herein. The electronic device includes a memory, an electrode module including at least four electrodes respectively connectable to a human body, and at least one processor. The processor implements the method, including: when the at least four electrodes are connected to designated connection points on the human body, obtain contact impedance values from the at least four electrodes, set electrode combination information for respectively connecting the at least four electrodes with the designated connection points, based on the obtained contact impedance values, and store the set electrode combination information in the memory, and measure an electrocardiogram (ECG) based on signals received from the electrode module while the at least four electrodes are respectively reconnected to the designated connection points, based on the stored electrode combination information.

A system for electrocardiography includes a handheld device having a device housing, and a patient cable having a proximal end that connects to the device housing. A distal end of the patient cable breaks out into leads for attachment to a patient. The handheld device generates an electrocardiogram based on electrical signals received from the patient cable. The system further includes a docking station having a dock housing to support the device housing and to recharge a battery of the handheld device.

A system for electrocardiography includes a handheld device having a device housing, and a patient cable having a proximal end that connects to the device housing. A distal end of the patient cable breaks out into leads for attachment to a patient. The handheld device generates an electrocardiogram based on electrical signals received from the patient cable. The system further includes a docking station having a dock housing to support the device housing and to recharge a battery of the handheld device.

An ambulatory medical device configured to be worn on a patient's body includes at least one electrocardiogram (ECG) electrode configured to sense cardiac activity, at least one acoustic sensor configured to detect one or more heart sounds, and at least one processor. The at least one processor is configured to implement a cardiopulmonary function analyzer to detect a suspected tachyarrhythmia based on an analysis of ECG signal(s) and verify the suspected tachyarrhythmia as a ventricular tachycardia (VT) event by analyzing acoustic signal(s) to distinguish the VT event from a supraventricular tachycardia (SVT) event. Said analysis includes determining an intensity and/or a beat-to-beat variability of a first heart sound (S1). The at least one processor verifies the suspected tachyarrhythmia as the VT event when the intensity of the S1 sound is below a predetermined intensity threshold or when the beat-to-beat variability of the S1 sound is above a predetermined variability threshold.

An ambulatory medical device configured to be worn on a patient's body includes at least one electrocardiogram (ECG) electrode configured to sense cardiac activity, at least one acoustic sensor configured to detect one or more heart sounds, and at least one processor. The at least one processor is configured to implement a cardiopulmonary function analyzer to detect a suspected tachyarrhythmia based on an analysis of ECG signal(s) and verify the suspected tachyarrhythmia as a ventricular tachycardia (VT) event by analyzing acoustic signal(s) to distinguish the VT event from a supraventricular tachycardia (SVT) event. Said analysis includes determining an intensity and/or a beat-to-beat variability of a first heart sound (S1). The at least one processor verifies the suspected tachyarrhythmia as the VT event when the intensity of the S1 sound is below a predetermined intensity threshold or when the beat-to-beat variability of the S1 sound is above a predetermined variability threshold.

An example wearable device is provided, that includes at least two dry electrodes that are electrically coupled with an external body surface of a wearer configured to obtain a neuromuscular signal. The example wearable device includes at least two dry electrodes that are electrically coupled with an external body surface of a wearer configured to obtain a neuromuscular signal. The example wearable device includes an amplifier configured to amplify the neuromuscular signals received from the at least two dry electrodes to produce an output signal. And the example wearable device includes one or more processors configured to obtain information identifying impedance associated with at least one of the two dry electrodes, wherein the information identifying the impedance is determined based on (i) the output signal from the amplifier and (ii) a characteristic of the amplifier.

An example wearable device is provided, that includes at least two dry electrodes that are electrically coupled with an external body surface of a wearer configured to obtain a neuromuscular signal. The example wearable device includes at least two dry electrodes that are electrically coupled with an external body surface of a wearer configured to obtain a neuromuscular signal. The example wearable device includes an amplifier configured to amplify the neuromuscular signals received from the at least two dry electrodes to produce an output signal. And the example wearable device includes one or more processors configured to obtain information identifying impedance associated with at least one of the two dry electrodes, wherein the information identifying the impedance is determined based on (i) the output signal from the amplifier and (ii) a characteristic of the amplifier.