Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

A method of quantitatively evaluating a cognitive impairment and its future change from a medical image of an individual's brain, the method comprising scanning the individual's brain with a scanning device so as to acquire at least one medical brain image; processing the medical brain image to obtain at least one feature of the image; using a pre-established prediction model to determine a condition of the cognitive impairment and predict its future change based on the at least one feature obtained.

An emergency cardiac and electrocardiogram (ECG) electrode placement device with artificial intelligence is disclosed herein. The emergency cardiac and electrocardiogram (ECG) electrode placement device incorporates electrical conducting materials and elastic material into a pad that is applied to a chest wall of a patient, which places multiple electrodes in the appropriate anatomic locations on the patient to quickly obtain an ECG in a pre-hospital setting. The AI program continuously runs EKGs to continuously monitor a patient.

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. Several examples emphasize the use of morphology analysis using correlation to static templates and/or inter-event correlation analysis.

Remote monitoring of a subject wearing a sports helmet is enabled. In one aspect, an example system includes a safety helmet and a sensor integrated with the helmet for continuously gathering head acceleration force data, the head acceleration force data associated with the head movements of a subject. The system can also include a wireless transceiver coupled to the sensor for transmitting the head acceleration force data and a mobile device for receiving the head acceleration force data from the wireless transceiver. The system can further include a database engine for displaying the head acceleration force data to a user.

There is set forth herein a system including a camera device. In one embodiment the system is operative to perform image processing for detection of an event involving a human subject. There is set forth herein in one embodiment, a camera equipped system employed for fall detection.

The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.

The present disclosure generally relates to systems and methods and systems of a noninvasive technique for characterizing cardiac chamber size and cardiac mechanical function. A mathematical analysis of three-dimensional (3D) high resolution data may be used to estimate chamber size and cardiac mechanical function. For example, high-resolution mammalian signals are analyzed across multiple leads, as 3D orthogonal (X,Y,Z), or 10-channel data, for 30 to 800 seconds, to derive estimates of cardiac chamber size and cardiac mechanical function. Multiple mathematical approaches may be used to analyze the dynamical and geometrical properties of the data.

Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a first signal from a user, and a diagnostic processor is configured to pre-process the first signal to generate a second signal, segment the second signal to form signal segments, determine at least one event location for each of the signal segments, match adjacent signal segments for feature alignment, and provide a third signal using results of the feature alignment.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.