In some examples, an apparatus configured to be worn by a patient for cardiac defibrillation comprises sensing electrodes configured to sense a cardiac signal of the patient, defibrillation electrodes, therapy delivery circuitry configured to deliver defibrillation therapy to the patient via the defibrillation electrodes, communication circuitry configured to receive data of at least one physiological signal of the patient from at least one sensing device separate from the apparatus, a memory configured to store the data, the cardiac signal, and a machine learning algorithm, and processing circuitry configured to apply the machine learning algorithm to the data and the cardiac signal to probabilistically-determine at least one state of the patient and determine whether to control delivery of the defibrillation therapy based on the at least one probabilistically-determined patient state.

A device is provided that may include an illuminator operable to interrogate at least a lens of an eye. The illuminator may include at least one light source and a lens positioned with respect to the light source to produce interrogating radiation. The device also may include a detector operable to image the total autofluorescence response of the lens of the eye as viewable through a pupil of the eye, the detector comprising an image sensor. The device can also include a controller operable to control operation of the illuminator and the detector. The controller may interrogate at least the lens of the eye by activating the illuminator for a select time, obtain at least one image of the total autofluorescence response of the lens at the detector during or immediately subsequent to the select time, and transmit the at least one image to a remote device.

Apparatus, system, and computer readable media determine the probability of visual recognition of an image by a subject using electroencephalography (EEG) corresponding to a Visual Evoked Potential (VEP). The apparatus comprises means for presenting a series of visual stimuli corresponding to said image to evoke EEG signals. The visual stimuli of the image are presented in an orientation sequence based on a timing cycle. At least one prism is provided for placement in front of the series of visual stimuli corresponding to said image. The EEG signals evoked in response to said visual stimuli and said prism placed in front of said visual stimuli are recorded and processed by a processor. VEP is generated corresponding to the presence of a shift and thereby provides object statistic reliability of the visual recognition of the image by the subject.

In some examples, an apparatus configured to be worn by a patient for cardiac defibrillation comprises sensing electrodes configured to sense a cardiac signal of the patient, defibrillation electrodes, therapy delivery circuitry configured to deliver defibrillation therapy to the patient via the defibrillation electrodes, communication circuitry configured to receive data of at least one physiological signal of the patient from at least one sensing device separate from the apparatus, a memory configured to store the data, the cardiac signal, and a machine learning algorithm, and processing circuitry configured to apply the machine learning algorithm to the data and the cardiac signal to probabilistically-determine at least one state of the patient and determine whether to control delivery of the defibrillation therapy based on the at least one probabilistically-determined patient state.

Hearing assistance systems, devices and methods including obtaining, by the device, multiple brain and bio-signals indicative of the auditory and visual attentional focus of the user, obtaining a mixed sound signal from multiple sound sources and applying, by the device, speech-separation and enhancement processing to the mixed sound signal to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources, and selecting one of the pluralities of separated signals either solely based on the obtained brain signals, or on a combination of bio-signals, including but not limited to eye gaze direction, head, neck and trunk orientation, etc. The separated signals may then be processed (i.e., amplified, attenuated) based on the needs of the user.

Systems and methods to determine an indication of patient compliance are disclosed, including detect temperature information associated with a treatment device comprising a therapy component including at least one of an electrical therapy component or a thermal therapy component configured to apply a treatment at the treatment location and determining the indication of patient compliance using the received temperature information occurring over a first period.

An intelligent defecation device for living creature includes a device body, a supporting portion, an image module, and a first analysis module. The supporting portion is formed within the inner side of the device body for accommodating a moisture absorption member so as to allow the living creature to leave over its excrement therein. The image module is also arranged at the device body for dynamically capturing the images of the excrement in the supporting portion and outputting the image. The first analysis module is arranged in the device body and connected with the image module to analyze and calculate the defecation mode with the image based on preset or accumulated data, so as to generate a signal when an abnormal defecation mode is diagnosed.

Systems and methods of measuring feet and designing and creating orthopedic inserts are described. A leg length discrepancy of a user is measured and this data, along with foot size are input into a computer. The computer then creates a computer model of a custom shoe insert based on this information. The computer model is then sent to a 3D printer to print the insert. The insert consists of a base insert with partial correction, and several additional layers that are added successively over time until a full correction is obtained. This eliminates any pain associated with a fully corrective insert, and allows the body to adjust gradually to the correction.

Systems and methods may include a first monitoring device positioned at a first location to monitor a monitored environment; and a second monitoring device positioned at a second location to monitor the monitored environment, wherein the first and second monitoring devices calibrate each other based on respective fiducial markers; wherein the first and second monitoring devices each comprise a processor and a memory coupled to the processor, the memory storing a plurality of instructions, which when executed by the processor, cause the processor to perform the operations of: detecting presence of the individual in the monitored environment; determining whether the condition of interest of the individual exceeds a determined threshold; based on the condition of interest of the individual exceeding the determined threshold, transmitting the condition of interest to a remote server to determine at least one of a social distancing breach and an identification of another person whom the individual contacted.

The present invention is provided a biological infection detection method, which includes the steps (a) is providing a screening kit with an identification code and a detection area; step (b) is binding an identity of a screened person and the identification code, wherein the identification code is binding the identity is defined as an associated identification code; step (c) is setting a biological sample of the screened person in the detection area; step (d) is generating a test result of the detected biological sample in the detection area; step (e) is to compare the associated identification code to ensure the test result belong to the screened person; and step (f), based on the test result, to determine whether the biological sample belongs to a first state, a second state, or an undeterminable state. The invention also provides a biological infection detection and personnel control method and biological infection response system.