Abstract: A blood pressure Holter system includes a pneumatic constriction sleeve to be worn on an arm of the user and includes a first sensor for acquiring systolic and diastolic values of arterial pressure of the user. A second sensor is carried adjacent a chest of the user for sensing movement of the user's body. The system further includes a detection and classification circuit for detecting and classifying movement of the user's body for producing an index of a state of physical exertion corresponding to systolic and diastolic values of arterial pressure. A fuzzy logic controller processes the systolic and diastolic values of arterial pressure using fuzzy logic.

Abstract: A power modulation control system using PWM pulses is provided. The system comprises an AC voltage generator, an electric load, and a control circuit incorporating at least one rectifier. The electric load is connected between the generator and the rectifier, and first and second monodirectional switches are connected in parallel with the load.

Abstract: A portable system carried by a user for assessing movement of the user includes at least one motion sensor adjacent a portion of the user's body under observation. An analog-to-digital converter is connected to the motion sensor for converting an analog signal therefrom into a digital signal. A logic circuit is connected to the analog-to-digital converter for calculating parameters based upon the digital signal. A first fuzzy logic processing circuit is connected to the logic circuit for processing the calculated parameters and for generating corresponding fuzzy classification labels based upon movement of the portion of the user's body under observation during an interval of time. A memory is connected to the first fuzzy logic processing circuit for storing at least one of the calculated parameters and the fuzzy classification labels.

Abstract: A method of assessing the neuro-psycho-physical condition of a person includes acquiring, by a self-contained hand held instrumentation, reaction times, execution times and ergometric data of actions performed by the person carrying out a certain test. This test includes processing the time data and the ergometric data for calculating the power exerted in performing each action. Data on the reaction time and the exerted power is processed on the basis of certain software to produce information on the neuro-psycho-physical condition. The ergometric data and reaction time data are processed by a fuzzy logic processor. The hand held instrument may optionally include also motion and voice articulation classifiers.

Abstract: A power modulation control system using PWM pulses is provided. The system comprises an AC voltage generator, an electric load, and a control circuit incorporating at least one rectifier. The electric load is connected between the generator and the rectifier, and first and second monodirectional switches are connected in parallel with the load.

Abstract: A portable system carried by a user for assessing movement of the user includes at least one motion sensor adjacent a portion of the user's body under observation. An analog-to-digital converter is connected to the motion sensor for converting an analog signal therefrom into a digital signal. A logic circuit is connected to the analog-to-digital converter for calculating parameters based upon the digital signal. A first fuzzy logic processing circuit is connected to the logic circuit for processing the calculated parameters and for generating corresponding fuzzy classification labels based upon movement of the portion of the user's body under observation during an interval of time. A memory is connected to the first fuzzy logic processing circuit for storing at least one of the calculated parameters and the fuzzy classification labels.

Abstract: A blood pressure Holter system includes a pneumatic constriction sleeve to be worn on an arm of the user and includes a first sensor for acquiring systolic and diastolic values of arterial pressure of the user. A second sensor is carried adjacent a chest of the user for sensing movement of the user's body. The system further includes a detection and classification circuit for detecting and classifying movement of the user's body for producing an index of a state of physical exertion corresponding to systolic and diastolic values of arterial pressure. A fuzzy logic controller processes the systolic and diastolic values of arterial pressure using fuzzy logic.

Abstract: A processor operating in a fizzy logic's mode and including a fuzzyfication unit receiving a plurality of input variables on its input and being adapted to compute a membership value of such variables in a membership function, a processing unit connected downstream of the fuzzyfication unit to produce a fuzzy set, i.e. the results of fuzzy logic inference operations performed on the plurality of variables, and a defuzzyfication unit operative to translate the inference results into a so-called crisp value. The processor further includes a first memory device connected to the fuzzyfication unit and containing the set of membership functions, a second memory device connected to the defuzzyfication unit and containing the set of crisp value which appear in the THEN part of the fizzy rules, and a further memory device connected to the defuzzyfication unit.

Abstract: The invention relates to a method and a device for recognizing and warning of the level of fullness of a waste container in a suction system driven by a motor and provided with an internal chamber kept under suction pressure and comprising the waste container. The method foresees a measurement of the difference of pressure between the internal chamber and the environment outside the vacuum cleaner and an elaboration of such measurement according to a set of rules in fuzzy logic for producing an electric warning signal corresponding to the filling level of the waste container.

Abstract: In a method, according to the invention, of storing one or more natural membership functions of respectively one or more natural variables being each defined within a natural universe of discourse having a lowest natural value and a highest natural value, the natural membership functions are normalized through respective normalization coefficients so that they are defined within the same predetermined absolute universe of discourse having a lowest absolute value and a highest absolute value, thereby obtaining one or more absolute membership functions, respectively, and said absolute membership functions and said normalization coefficients are stored, taking account that identical absolute membership functions are stored only once.

Abstract: Fuzzy logic rules are applied to a method for indirectly measuring a physical signal to be monitored which would be difficult to directly measure. The measuring method comprises the steps of obtaining a derived physical signal from the physical signal to be monitored and measuring a value of the derived physical signal and its variations over time at suitably selected check points. A first set of fuzzy logic rules are applied to ascertain the presence or absence of an index signal adapted to mark at least first, second and third operational zones of the derived physical signal. Only the second operational zone is characterized by the presence of the index signal. First and second significant values of the physical signal to be monitored are measured as start and end values, respectively, of the second operational zone. An apparatus for indirectly measuring a physical signal is also disclosed.

Abstract: This invention relates to a fuzzy processor having an input X for at least a plurality of input variables X-i and an output U for one or more output results U-k, and including a fuzzyfication unit FU having an input coupled to the input X, a fuzzy rule processing unit RU having an input coupled to the output of the fuzzyfication unit FU, and a defuzzyfication unit DU having an input coupled to the output of the processing unit CU and an output coupled to said output U, wherein the output of the defuzzyfication unit DU is coupled to the input of the fuzzyfication unit FU and/or to the input of the processing unit RU.