System and method for evaluating action capacities of an individual
First Claim
1. A system for evaluating action capacities of an individual, comprising:
- a first memory configured to store a database comprising at least one probability law curve (CE11, . . . CEij), which is termed an expert curve, representative of a probability of having a given state of health for at least one state of health (C1, . . . , Ci) as a function of a physiological parameter value for at least one physiological parameter (PP1, . . . , PPj);
at least one measurement module, each measurement module being configured to produce at least one measurement point of a physiological parameter (PP1, . . . , PPj) of the individual and to provide at least one confidence interval of the measurement module or modules;
a second memory configured to store the measurement point or points of the physiological parameter or parameters (PP1, . . . , PPj) and the confidence interval or intervals;
a first computation module configured to determine at least one set of measurement points representative of a distribution law for the measurement point or points, termed measured set, each measured set being determined on the basis of the measurement point or points of a physiological parameter and of the confidence interval or intervals;
a second computation module configured to compute, for each of the state or states of health (C1, . . . , Ci) and for each of the measured set or sets, at least one conditional probability of having one or more states of health, each conditional probability being computed at each of the points of the measured set knowing the measurement point or points of the physiological parameter;
a third computation module configured to compute, for each of the state or states of health (C1, . . . , Ci) and for each of the measured set or sets, an average of the conditional probability or probabilities computed by the second computation module;
a fourth computation module configured to determine at least one level of action capacity of the individual (CAPAFLY, CAPANAV, CAPACOM, CAPASYS) as a function of the averages of the conditional probability or probabilities;
a transmission module configured to transmit a signal representative of the level or levels of action capacity of the individual (CAPAFLY, CAPANAV, CAPACOM, CAPASYS) to a user device;
wherein the first computation module is configured to compute each conditional probability for a state of health knowing the measurement point or points of a physiological parameter on the basis of the following relation;
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Abstract
A system for evaluating the action capacities of an individual comprising at least one measurement module, each measurement module being configured to produce at least one measurement point of a physiological parameter of the individual; a computation module configured to determine at least one set of measurement points representative of a distribution law for the measurement point or points, termed measured set; a computation module configured to compute at least one conditional probability of having one or more states of health; a third computation module configured to compute an average of the computed conditional probability or probabilities; a fourth computation module configured to determine at least one level of action capacity of the individual; a transmission module configured to transmit a signal representative of the level or levels of action capacity of the individual to a user device.
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Citations
10 Claims
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1. A system for evaluating action capacities of an individual, comprising:
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a first memory configured to store a database comprising at least one probability law curve (CE11, . . . CEij), which is termed an expert curve, representative of a probability of having a given state of health for at least one state of health (C1, . . . , Ci) as a function of a physiological parameter value for at least one physiological parameter (PP1, . . . , PPj); at least one measurement module, each measurement module being configured to produce at least one measurement point of a physiological parameter (PP1, . . . , PPj) of the individual and to provide at least one confidence interval of the measurement module or modules; a second memory configured to store the measurement point or points of the physiological parameter or parameters (PP1, . . . , PPj) and the confidence interval or intervals; a first computation module configured to determine at least one set of measurement points representative of a distribution law for the measurement point or points, termed measured set, each measured set being determined on the basis of the measurement point or points of a physiological parameter and of the confidence interval or intervals; a second computation module configured to compute, for each of the state or states of health (C1, . . . , Ci) and for each of the measured set or sets, at least one conditional probability of having one or more states of health, each conditional probability being computed at each of the points of the measured set knowing the measurement point or points of the physiological parameter; a third computation module configured to compute, for each of the state or states of health (C1, . . . , Ci) and for each of the measured set or sets, an average of the conditional probability or probabilities computed by the second computation module; a fourth computation module configured to determine at least one level of action capacity of the individual (CAPAFLY, CAPANAV, CAPACOM, CAPASYS) as a function of the averages of the conditional probability or probabilities; a transmission module configured to transmit a signal representative of the level or levels of action capacity of the individual (CAPAFLY, CAPANAV, CAPACOM, CAPASYS) to a user device; wherein the first computation module is configured to compute each conditional probability for a state of health knowing the measurement point or points of a physiological parameter on the basis of the following relation; - View Dependent Claims (2, 3, 4, 5)
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6. A method for evaluating action capacities of an individual, comprising:
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implementing a measurement step, by at least one measurement module, comprising producing at least one measurement point for at least one physiological parameter (PP1, . . . , PPj) of the individual and providing at least one confidence interval of the measurement module or modules; implementing a first computation step, by a first computation module, comprising computing at least one set representative of a distribution law for the measurement point or points, termed measured set, the measured set or sets being determined on the basis of the measurement point or points of each of the physiological parameter or parameters (PP1, . . . , PPj) and of the confidence interval or intervals; implementing a second computation step, by a second computation module, comprising computing, for at least one state of health (C1, . . . , Ci) and for each of the measured set or sets, at least one conditional probability of having one or more states of health (C1, . . . , Ci), each conditional probability being computed at each of the points of the measured set knowing the measurement point or points of the physiological parameter (PP1, . . . , PPj); implementing a third computation step, by a third computation module, comprising computing, for each of the state or states of health (C1, . . . , Ci) and for each of the measured set or sets, an average of the conditional probability or probabilities computed by the second computation module; implementing a fourth computation step, by a fourth computation module, comprising determining at least one level of action capacity of the individual (CAPAFLY, CAPANAV, CAPACOM, CAPASYS) as a function of the averages of the conditional probabilities; implementing a transmission step, by a transmission module, comprising transmitting a signal representative of the level or levels of action capacity (CAPAFLY, CAPANAV, CAPACOM, CAPASYS) to a user device; wherein each conditional probability for a state of health knowing the measurement point or points of a physiological parameter is computed on the basis of the following expression; - View Dependent Claims (7, 8, 9, 10)
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Specification