Abstract: Methods of reusing and/or repurposing microelectronic devices are disclosed. A method may include receiving an indication of a selected secondary application for a microelectronic device and accessing health information for the microelectronic device. The method may further include determining whether the microelectronic device is fit for the selected secondary application responsive to the health information. Associated devices and systems are also disclosed.

Abstract: Methods and devices related to determining image sensor settings using LiDAR are described. In an example, a method can include receiving, at a processing resource via a LiDAR sensor, first signaling indicative of location data, elevation data, and/or light energy intensity data associated with an object, receiving, at the processing resource via an image sensor, second signaling indicative of data representing an image of the object, generating, based at least in part on the first signaling, additional data representing a frame of reference for the object, transmitting to a user interface third signaling indicative of the data representing the frame of reference for the object and the data representing the image of the object, and displaying, at the user interface and based at least in part on the third signaling, another image that comprises a combination of the frame of reference and the data representing the image.

Abstract: Methods, apparatuses, and non-transitory machine-readable media associated with seizure risk determination are described. A seizure risk determination can include receiving signaling from a radio in communication with a processing resource configured to monitor patient health data of a patient, signaling from a radio in communication with a processing resource configured to monitor health provider data associated with seizures, and signaling from a radio in communication with a processing resource configured to monitor environmental data associated with the patient. The seizure risk determination can include determining a seizure baseline for the patient and a seizure risk for the patient based on the signaling. The seizure risk determination can include identifying output data representative of a seizure plan for the patient and transmitting the output data representative of the seizure plan.

Abstract: Methods and devices related to determining image sensor settings using LiDAR are described. In an example, a method can include receiving, at a processing resource via a LiDAR sensor, first signaling indicative of location data, elevation data, and/or light energy intensity data associated with an object, receiving, at the processing resource via an image sensor, second signaling indicative of data representing an image of the object, generating, based at least in part on the first signaling, additional data representing a frame of reference for the object, transmitting to a user interface third signaling indicative of the data representing the frame of reference for the object and the data representing the image of the object, and displaying, at the user interface and based at least in part on the third signaling, another image that comprises a combination of the frame of reference and the data representing the image.