Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

A method for processing electrocardiograph (ECG) data using a garment includes determining, by a processor, a current working lead from ECG leads formed in advance using flexible electrodes in the garment based on a current ECG monitor type, and receiving, by the processor through lead wires corresponding to the current working lead, ECG data collected by flexible electrodes corresponding to the current working lead. A wearable apparatus for processing ECG data includes at least two flexible electrodes, in which the at least two flexible electrodes are capable of forming different leads based on predetermined configurations, at least two lead wires, and an ECG data collector configured to receive ECG data collected by the at least two flexible electrodes, in which each of the at least two flexible electrodes connects to the ECG data collector via at least one of the at least two lead wires.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.

According to one embodiment, an eye movement detecting device comprises first, second, third, fourth and fifth electrodes. A line connecting the first and the third electrodes passes through the right eye and a line connecting the second and the fourth electrodes passes through the left eye on at least one of a front view, a plan view or a side view. A distance between the fifth and the first electrodes is equal to a distance between the fifth and the second electrodes. A distance between the fifth and the third electrodes is equal to a distance between the fifth and the fourth electrodes. The detector respectively detects a horizontal movement of the right eye and a horizontal movement of the left eye.

The present invention relates to an electrocardiogram measurement apparatus (measurement sensor) which can be used in combination with a smartphone by an individual. The electrocardiogram measurement apparatus according to the present invention comprises: two amplifiers for receiving electrocardiogram signals from a first electrode and a second electrode; one electrode driving unit; a third electrode for receiving an output of the electrode driving unit; an A/D converter connected to an output terminal of each of the two amplifiers and converting analog signals into digital signals; a microcontroller for receiving the digital signals from the A/D converter; and a communication means for transmitting the digital signal, wherein: the microcontroller is supplied with power from a battery; the microcontroller controls the A/D converter and the communication means; and each of the two amplifiers amplifies one electrocardiogram signal so as to simultaneously measure two electrocardiogram signals.

The present invention relates to an electrocardiogram measurement apparatus (measurement sensor) which can be used in combination with a smartphone by an individual. The electrocardiogram measurement apparatus according to the present invention comprises: two amplifiers for receiving electrocardiogram signals from a first electrode and a second electrode; one electrode driving unit; a third electrode for receiving an output of the electrode driving unit; an A/D converter connected to an output terminal of each of the two amplifiers and converting analog signals into digital signals; a microcontroller for receiving the digital signals from the A/D converter; and a communication means for transmitting the digital signal, wherein: the microcontroller is supplied with power from a battery; the microcontroller controls the A/D converter and the communication means; and each of the two amplifiers amplifies one electrocardiogram signal so as to simultaneously measure two electrocardiogram signals.

An electrocardiography device is described that can include a main body, an adjustable cap, and a power switch. The main body can include an electrode of a plurality of electrodes configured to acquire electrical signal from a patient. The adjustable cap can include two electrodes of the plurality of electrodes. The adjustable cap can be rotatable around an axis on the main body to orient the plurality of electrodes on different locations on a body of the patient. The power switch can activate the plurality of electrodes to acquire the electrical signal from the patient. Related apparatuses, systems, methods, techniques and articles are also described.

The present disclosure is directed to merging data acquired from differently configured catheters on a common map. In use, physical characteristics of catheters influence recorded electrical signals/responses such that differently configured catheters (e.g., different electrode sizes, shapes, materials, spacings, etc.) may record different responses to measurements taken at the same location in response to the same excitation signal. To allow merging of data from differently configured catheters in a common map, the present disclosure applies a corrective coefficient or transfer function to the recorded electrical signals of one or both catheters to counter-balance variable influences of catheter specific characteristics on recorded signals.

The present disclosure is directed to merging data acquired from differently configured catheters on a common map. In use, physical characteristics of catheters influence recorded electrical signals/responses such that differently configured catheters (e.g., different electrode sizes, shapes, materials, spacings, etc.) may record different responses to measurements taken at the same location in response to the same excitation signal. To allow merging of data from differently configured catheters in a common map, the present disclosure applies a corrective coefficient or transfer function to the recorded electrical signals of one or both catheters to counter-balance variable influences of catheter specific characteristics on recorded signals.