Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.

A watch having a cover is described. An optical sensor subsystem is attached adjacent to or directly on an interior surface of the cover. In some cases, the optical sensor subsystem includes a substrate to which a light emitter and a light receiver are attached. The light receiver is configured to receive light emitted by the light emitter and reflected from the skin of a person that wears the watch. In some cases, the light emitter and light receiver are separated by a light-blocking wall that abuts the interior surface of the cover. In some cases, a light filter is attached adjacent or directly on the interior surface of the cover, between the cover and the light receiver.

The following disclosure discusses systems and methods of detecting and analyzing cutaneous conditions. According to one embodiment, a 2D image of the cutaneous condition and a set of 3D point clouds associated with the 2D image are captured using an image capturing device. The 2D image and the set of 3D point clouds are sent to a computing device. The computing device generates a 3D surface according to the set of 3D point clouds. Subsequently, the computing device receives a depth map for the 2D image based upon the 3D surface from another computing device such that the depth map comprises depth data for each pixel of the 2D image. The cutaneous condition may then be measured and analyzed based upon the depth map using the computing device.

The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

A medical rehabilitation device for clinically rehabilitating individuals suffering from medical conditions affecting the vestibular ocular system, and other neurocognitive functions. The rehabilitation device includes a support base having an elongate slot, and a plurality of arms adjustably attached to the support base via the elongated slot, where each arm includes a magnetic strip for selectively positioning visual targets thereon to solicit patient recognition of colors and positions of the visual targets during both vestibular ocular reflex, and other neurocognitive exercises. Each arm and the support base includes measurement markings extending along the top longitudinal surface of each arm adjacent the magnetic strips and along the elongate slot, respectively, to provide measured and objective charted indicators for vestibular ocular reflex and other neurocognitive functions over time. The arms are adjustable in horizontal, vertical, and diagonal positions to selectively adjust the difficulty of the exercises in a plane of vision.

Disclosed herein are wearable bands for biomarker tracking and methods for making the wearable bands. The biomarker tracking wearable band having a printed circuit board assembly (PCBA), the PCBA including an electrocardiography (ECG) sensor utilizing printed Silver-Silver Chloride (Ag-AgCl) electrodes and an optical photoplethysmography (PPG) sensor utilizing more than two light emitting diodes (LEDs), and a directly over molded band encasing the PCBA.

An endoscopic examination supporting apparatus includes at least one processor including hardware. The processor acquires insertion shape information indicating an insertion shape of an insertion section of an endoscope inserted into a subject, evaluates, based on the insertion shape information, a procedure including inserting operation for the insertion section performed by a user who operates the endoscope during an endoscopic examination, and generates procedure evaluation information.

Introduced here are diabetes management platforms able to guide people with diabetes toward a glycemic target. Rather than state the absolute amount of glucose within the blood, the diabetes management platform can instead produce personalized glycemic goals based on the physiological data associated with an individual. For example, if the diabetes management platform determines that the time spent within a first glycemic range exceeds a specified threshold, then the diabetes management platform may recommend that the individual attempt to keep their blood glucose level within a second glycemic range. Generally, the second glycemic range is closer than the first glycemic range to a target glycemic range corresponding to a healthy glycemic state.

A cognitive impairment diagnostic apparatus includes: a display which displays a video for diagnosis of cognitive impairment on a display surface; an imaging unit which captures images of an eye of a subject; a detection unit which detects viewpoints of the subject on the display surface in time series based on the images captured by the imaging unit; a creation unit which creates a distribution map representing a distribution of the viewpoints detected by the detection unit; a storage unit which stores case characteristic data indicating a characteristic of a viewpoint distribution corresponding to a typical case in cognitive impairment; and a diagnostic unit which diagnoses cognitive impairment of the subject by determining whether the distribution map has the characteristic indicated by the case characteristic data.

A system and method are disclosed including receiving, from a sensor, motion data captured from a human, the motion data representative of involuntary human motions. In one embodiment, the method includes storing, in a memory, the motion data captured from the human. In one embodiment, the method includes processing the motion data captured by the human to determine a cycle bandwidth of the involuntary human motions across the motion data. In one embodiment, the method includes outputting the cycle bandwidth of the involuntary human motions across the motion data.