An intelligent diagnostic
toilet system for automated stool analysis, consisting of: a diagnostic chamber integrated into the drainage path of a
toilet system, wherein the chamber is equipped with a hydrophobic and oleophobic optical window made of
quartz or coated acrylic material, configured to allow multispectral
light transmission while preventing
contamination; a multispectral optical sensor module positioned next to the diagnostic chamber and configured to emit and detect reflected or
transmitted light in at least the visible, near-
infrared (NIR) and
ultraviolet A (UV-A) ranges to quantify stool components including
water content,
lipid content,
hemoglobin and bile pigments; a fluidically coupled unit with the diagnostic chamber for the detection of volatile organic compounds (VOCs), comprising a variety of
solid-state gas sensors selected from the group consisting of
metal oxide semiconductor,
conductive polymer and
ion mobility sensors, and configured to measure gases containing
ammonia,
hydrogen sulfide,
methane and
volatile fatty acids; a
chemical test system comprising an interchangeable
cartridge assembly containing a plurality of
reagent-impregnated
filter paper strips, wherein the
cartridge is connected to a swab
actuator configured to dispense a micro-amount of stool onto one or more
reagent strips to trigger colorimetric chemical reactions; an imaging unit that is optically aligned with the aforementioned
chemical test system to acquire multispectral colorimetric data of the reacted
reagent strips and thus determine the presence of specific
biochemical markers; a self-cleaning subsystem consisting of an array of micro-
nozzle spray nozzles directed at the optical window and chamber surfaces for applying cleaning fluid, and a UV-C sterilization module located inside or near the chamber to decontaminate the surfaces after each analysis cycle; and an
embedded processing unit operationally connected to the multispectral optical sensor module, the VOC detection unit and the imaging unit, wherein the
processing unit performs a data fusion technique configured to correlate spectral, gaseous and colorimetric data to determine stool properties, generate diagnostic indices and output user-specific health assessments via an encrypted
communication interface.