The physiological information processing apparatus: acquires electrocardiogram data of a subject; detects a QRS complex from the electrocardiogram data; acquires pulse wave data of the subject; detects a pacing pulse output from an apparatus worn by the subject; determines whether the pacing pulse is detected in a time period in which the QRS complex is not detected when the time period is equal to or longer than a predetermined time width; determines, based on the pulse wave data, whether a pulse wave is present within predetermined time from a detection time point at which die pacing pulse is detected; and determines, according to a determination that the pulse wave is present within the predetermined time, that the QRS complex is actually present in the time period.

Methods, apparatus, systems, and articles of manufacture are disclosed for non-contact sensing of vital signs. An example electronic device to measure vital signs includes a camera to capture an image; a radar antenna to transmit and receive radar signals; and processing circuitry to: identify a subject in the image; identify a location of the subject in an environment; control the radar antenna to steer the radar signals toward the location; and determine a vital sign of the subject based on a reflected radar signal.

Methods and systems for determining the blood pressure of a patient. The system may include a first device configured to collect a first plurality of blood pressure measurements of the patient, a second device configured to collect a second plurality of blood pressure measurements of the patient, and a processor configured to identify a divergence between the first plurality and the second plurality, retrieve, from a memory, a clinical event, compare the first plurality and the second plurality to the clinical event, and determine that the first plurality is more accurate than the second plurality based on the comparison.

[Object] Proposed are a biopotential measuring apparatus, a biopotential measuring system, and a biopotential measuring method that are capable of suppressing an erroneous determination in determining the quality of a contact state between an electrode and a living body. A biopotential measuring apparatus of the present technology includes an electrode and a controller. The electrode measures a biopotential. The controller determines a quality of a contact state between the electrode and a living body on the basis of a signal amplitude of a signal of a specific frequency.

An electronic apparatus includes an output interface and a controller. The output interface is configured to output a signal on the basis of scattered light from a measured part. The controller is configured to calculate a temporal change of a power spectrum on the basis of the signal and detect noise included in the signal on the basis of the temporal change of the power spectrum.

A system for screening persons' temperatures comprises an imaging device configured to generate imagery data, including infrared image data, of a first scene and a second scene. The system receives imagery data from the first scene, identifies persons in the scene using the imagery data, and determines each person's temperature. The system further compares the persons' temperatures to a threshold and indicates a person should be directed to the second scene if the person's temperature is above a threshold. Subsequently, the system determines and compares the person's temperature in the second scene and provides an indication if the person's temperature exceeds a second threshold. Further, a confidence factor can be associated with determinations of persons' temperatures.

Methods and systems are provided for cardiac triggering of an imaging system. a method for an imaging system comprises acquiring, during a scan of a subject, an electrical signal indicating a periodic physiological motion of an organ of the subject, inputting a sample of the electrical signal into a trained neural network to detect whether a peak is present in the sample, triggering acquisition of image data responsive to detecting the peak in the sample, and not triggering the acquisition of image data responsive to not detecting the peak in the sample. In this way, the timing of data acquisition may be optimally and robustly synchronized with a cardiac cycle.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

A system and method for conducting a test includes initiating a test script, and providing the script to a patient. Testing hardware is shipped hardware from a provider to the patient, and instructions are provided to the patient for connecting the testing hardware to a mobile computing device. A mobile application is downloaded and installed onto the mobile computing device. The testing hardware is connected to the testing hardware and to the mobile computing device, and the test is conducted using the mobile application operating on the mobile computing device.

A wearable medical device for determining whether a patient is experiencing a cardiac event using electrocardiogram (ECG) templates includes a plurality of ECG electrodes and a medical device controller. The medical device controller includes a memory, a baseline generator, a cardiac event detector, and a mode selector. The baseline generator is configured to record a baseline ECG signal, generate one or more ECG templates, and store the one or more ECG templates in the memory. The cardiac event detector is configured to select an ECG template and compare a current ECG signal with the selected ECG template to determine whether the patient is experiencing a cardiac arrhythmia. The mode selector is configured to identify whether any ECG templates are stored in the memory, determine whether a new ECG template is needed, and, upon determining that a new ECG template is needed, enter a baselining mode by activating the baseline generator.