A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to measure physiological information from the subject, and at least one processor configured to process signals from the PPG sensor to determine heart rate and RR-interval (RRi) for the subject, and to determine a heart rate pattern for the subject over a period of time. The at least one processor is configured to change a sampling frequency of the PPG sensor for determining RRi in response to the determined heart rate pattern. The at least one processor is configured to reduce the sampling frequency of the PPG sensor in response to determining a pattern of heart rate below a threshold.

Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.

A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to measure physiological information from the subject, a blood flow stimulator, and a processor configured to process signals from the PPG sensor to determine a confidence score of the signals. In response to a signal-to-noise level determination, the processor is configured to instruct the blood flow stimulator to increase blood perfusion at a location where the PPG sensor is attached to the subject. The confidence score is an indication of how strongly the signals can be trusted.

Methods and systems related to the field of gesture detection are disclosed herein. A system for a personal head wearable device includes a first electrode and a second electrode. The first electrode and the second electrode measure a bioelectric signal. The system further includes one or more non-transitory computer readable media storing instructions which, when executed by the system, cause the system to analyze the bioelectric signal to recognize a gesture signal in the bioelectric signal using a stored signature model for the gesture signal, and generate an interface signal upon recognizing the gesture signal in the bioelectric signa. The gesture signal is one of a double jaw clenching signal, a triple jaw clenching signal, and a long jaw clenching signal.

A method includes receiving during a first time interval associated with a path of motion of a dynamic body, image data associated with a plurality of images of the dynamic body. The plurality of images include an indication of a position of a first marker coupled to a garment at a first location, and a position of a second marker coupled to the garment at a second location. The garment is coupled to the dynamic body. During a second time interval, an image from the plurality of images is automatically identified that includes a position of the first marker that is substantially the same as a position of a first localization element relative to the dynamic body and a position of the second marker that is substantially the same as a position of the second localization element relative to the dynamic body.

A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to detect/measure physiological information from the subject, and a processor configured to process the physiological information to detect subject stress, and to determine an origin of the subject stress. The processor can determine the origin of the subject stress by increasing a sampling rate of the PPG sensor to collect higher acuity physiological information. The processor also can determine the origin of the subject stress by processing data from the PPG sensor to determine whether the subject is likely to have atrial fibrillation. In response to determining that the subject is likely to have atrial fibrillation, the processor can increase a frequency of pulsing of an optical emitter of the PPG sensor and/or increase a sampling rate of the PPG sensor to collect higher acuity data for diagnosing that atrial fibrillation is truly occurring.

A patient monitor including a physiological measurement logic engine receives physiological data from a physiological sensor. The logic engine abstracts one or more features of the physiological data and determines a category for the abstracted feature. The logic engine further encodes the category of each of the one or more features and determines an action to perform based on the encoded categories.

An imaging connector includes a proximal side and a distal side. The proximal side includes a light input opening and an image output opening. The distal side includes a light output opening and an image input opening. The imaging connector is operable to (i) transmit light from the light input opening to the light output opening, and (ii) transmit an image from the image input opening to the image output opening.

Methods, systems, computer-readable media, and apparatuses for determining a sedentary state of a user are disclosed. The apparatuses can be fastened to the user and include sensors configured to detect movement of the user. The apparatuses can also include a circuit coupled to the sensors. The circuits may be configured to determine, using the sensors, whether the user is sedentary; and in response to determining that the user is sedentary, determine one or more physiological attributes of the user of the device.

An illustrative optical measurement device includes a light source configured to emit light pulses directed at a target. The optical measurement device further includes a detector configured to detect arrival times for photons of the light pulses after the photons are scattered by the target. The optical measurement device further includes a processing unit configured to generate, based on the arrival times of the photons at the detector, histogram data associated with the target. The processing unit is further configured to determine, based on the histogram data, an absolute optical property associated with the target. The processing unit is further configured to determine, based on the absolute optical property, a blood oxygenation level of the user, and perform an operation based on the blood oxygenation level.