A modular hand-held point of care testing system, which includes a plurality of different assay adapters configured to receive a plurality of different assay devices that perform assays on one or more samples; a shared door that that interchangeably receives the plurality of different assay adapters; wherein at least two of the plurality of assay adapters or at least two of the assay devices comprise different identifiers that distinguish the assays from each other; an apparatus comprising a portable frame configured to interchangeably receive the shared door and a means for decoding the different identifiers when received by the frame; and a means for reading assay results.

The present invention relates to a terahertz biometric imaging arrangement configured to be arranged under an at least partially transparent display panel and configured to capture an image of an object located on an opposite side of the transparent display panel, the biometric imaging arrangement comprising: a transmitter element arranged to emit terahertz radiation for illuminating the object; and an image sensor comprising an antenna pixel array arranged to detect terahertz radiation transmitted from the illuminated object, for producing an image.

A method for administering an exposure treatment of a cognitive behavioral therapy (CBT) uses a mobile app and a server application. A user state of a patient undergoing a first step of the CBT based on the patient's condition during the first step is detected by sensors of the patient's smartphone. A situational state of the patient's surroundings during the first step is detected by the smartphone sensors. The mobile app determines whether the patient has made progress performing the first step. A user prompt is generated based on the user state and situational state. A next step of the CBT is configured based on the user state and situational state. The characteristics of the user prompt are generated using machine learning based on past task completions by the patient and other users so as to increase the likelihood that the patient will complete the next step of the CBT.

A non-transitory computer readable medium storing data and computer implementable instructions that, when executed by at least one processor, cause the at least one processor to perform operations for generating cross section views of a wound, the operations including receiving 3D information of a wound based on information captured using an image sensor associated with an image plane substantially parallel to the wound; generating a cross section view of the wound by analyzing the 3D information; and providing data configured to cause a presentation of the generated cross section view of the wound.

An apparatus for estimating biological information of a user may include a light source configured to emit light to an object of the user; an image sensor comprising a pixel array, and configured to acquire successive image frames by detecting light scattered or reflected from the object of the user; and a processor configured to: select a predetermined number of pixel-rows from among pixel-rows of the image sensor, detect signal intensities in the predetermined number of pixel-rows for each image frame of the successive image frames, correct the signal intensities, combine the signal intensities for each image frame of the successive image frames based on correcting the signal intensities, acquire a photoplethysmogram (PPG) signal based on combining the signal intensities, and estimate the biological information of the user based on the PPG signal.

A method of classifying a mental state of a user using a computing device, which includes a microphone, a camera, a display, a wireless communication unit, and a processor, and a mental state classification server is provided. The method comprises: by the microphone, detecting ambient noise of the user; by the camera, generating an image by photographing a face of the user; by the processor, checking whether each of ambient noise of the user, ambient brightness of the face of the user obtained from the image, and a face position of the user obtained from the image is suitable for a heart rate variability measurement environment; by the processor, controlling to display on the display images indicating whether each of the ambient noise, the ambient brightness, and the face position is suitable for the heart rate variability.

There is provided an electronic device capable of improving the difficulty of breaking a digital electronic lock and the accuracy of gesture control. The electronic device is unlocked according to gestures of a single hand or two hands, an operation hand, a gesture position, a staying time of gesture and a gesture variation of a user. The electronic device further improves the accuracy of gesture control in conjunction with an accessory pattern, temperature sensing and space information of a wearable device. The present disclosure further provides an electronic device that identifies legitimacy of moving the electronic device according to a variation sequence of 3-axis accelerations of an accelerometer.

A method for positioning a portable multispectral imaging device within a target distance range relative to a surface for imaging a region of interest (ROI) of the surface. The method generally involves determining a distance between the portable multispectral imaging device and the ROI of the surface determining whether the distance is within the target distance range generating a signal indicating to a user that the portable multispectral imaging device is not within the target distance range and providing instructions to the user to guide that the user for repositioning the portable multispectral imaging device; and triggering an image capturing sequence when the portable multispectral imaging device is within the target distance range. A method for calibrating a light source unit of the portable multispectral imaging device and a portable multispectral imaging device are also described.

Apparatus and method are provided to collect and analyze heartbeat waveforms. In one novel aspect, the heartbeat waveforms are collected from wearable devices. In one embodiment, the wearable device collects heartbeat waveforms by attaching the device to the patient for a long period and sends the collected waveforms to a receiver through a wireless network. In another novel aspect, an application program is installed in a smart device to receive heartbeat waveforms from one or more wearable devices. The application program either relays the received waveform to a remote processing center or processes the data before sending. In another novel aspect, an analysis method compares received patient's current heartbeat waveform with historic data. In one embodiment, the historic data are stored in a cloud-based database. In another novel aspect, the remote processing center is an open platform data center, which takes in certified third party inputs.

Apparatus and method are provided to collect and analyze heartbeat waveforms. In one novel aspect, the heartbeat waveforms are collected from wearable devices. In one embodiment, the wearable device collects heartbeat waveforms by attaching the device to the patient for a long period and sends the collected waveforms to a receiver through a wireless network. In another novel aspect, an application program is installed in a smart device to receive heartbeat waveforms from one or more wearable devices. The application program either relays the received waveform to a remote processing center or processes the data before sending. In another novel aspect, an analysis method compares received patient's current heartbeat waveform with historic data. In one embodiment, the historic data are stored in a cloud-based database. In another novel aspect, the remote processing center is an open platform data center, which takes in certified third party inputs.