Automated systems and methods for skin assessment and early detection of a latent pathogenic bio-signal anomaly

A monitoring system for detecting a latent pathogenic skin condition in a patient comprising:

• an infrared sensor configured to generate a first data set and an optical sensor configured to generate a second data set;
• an input module configured to receive one or more key factor input for the patient;
• a metrics module electrically connected to the infrared sensor and the optical sensor and the input module, comprising a combinational and adaptive processor and memory, programmed to:
• receive the one or more key factor input for the patient from the input module,
• acquire and store the first data set and the second data set,
• determine a combination weighted function based on the first and the second data sets, and
• compare the combination weighted function to a baseline of key indicators to determine that the latent pathogenic skin condition is present;
• and
• perform simultaneous localization and mapping of a portion of the patient's body with the infrared sensor and the optical sensor while the combinational and adaptive processor acquires the first data set and the second data set;
• a feature matching engine configured to use an incremental alignment of successive visual images from the optical sensor to augment a thermal image from the infrared sensor to provide a super resolution thermal image adequate for anatomical referencing;
• and
• an accelerometer and the feature matching engine configured to receive simultaneously-captured visual images from the optical sensor and thermal images from the infrared sensor, perform feature detection on the visual images and thermal images, perform a homography calculation on the visual images and thermal images using timestamps from the accelerometer to align the detected features in the visual and thermal images, perform homography transformations on one or both of the visual images and thermal images, and perform image fusion on the resulting transformed image.

A method for detecting a latent pathogenic skin condition in a patient comprising:

• using an infrared sensor to generate a first data set;
• using an optical sensor to generate a second data set;
• using an input module to receive one or more key factor input for the patient;
• using a metrics module electrically connected to the infrared sensor, the optical sensor, and the input module, comprising a combinational and adaptive processor and memory, to
• receive with the metrics module the one or more key factor input for the patient from the input module,
• acquire and store with the metrics module the first data set and the second data set,
• determine with the metrics module a combination weighted function based on the first and the second data sets, and
• compare with the metrics module the combination weighted function to a baseline of key indicators to determine if that the latent pathogenic skin condition is present;
• and
• perform with the metrics module simultaneous localization and mapping of a portion of the patient's body with the infrared sensor and the optical sensor while the combinational and adaptive processor acquires the first data set and the second data set;
• projecting with a visible-light projector user interface elements onto the skin of the patient;
• and
• determining with the infrared sensor interactions with the projected user interface elements.