A light weight and/or small device for determining health conditions
AssigneesVrije Universiteit Brussel, Uniweb Bvba
InventorsRudi TIELEMANS, Ivan BAUTMANS, Hugo Humerto Plácido DASILVA
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Abstract
The invention is in the field of measuring health conditions (for the purpose of assessing, monitoring and/or evaluating) in a human being based on one or more tests executed by said human and provides specific electro-mechanical devices, pneumatic components, systems (configurations) and/or arrangements of specific and specially configured electro-mechanical devices for such purpose, such health conditions or derivatives thereof being one or more selected from the group of vitality capacity, physical reserves, frailty, resilience, intrinsic capacity, fatigue, fatiguability, stress response.
Claims17
1-17. (canceled)
An (hand-held) electronic device comprising:
- (i) one or more pressure sensors (for enabling pneumatic measurements);
- (ii) means for externally communicating data signals of said pressure sensor;
- and (iii) a connecting means capable for mechanical connecting a plurality of measurement tools to the electronic device, such plurality of measurement tools including (as measurement tool) an elastic pear (connectable) connected to said connector for measuring the force exhibited by a person on said elastic pear (via a pneumatic measurement by said pressure sensor) and/or (as measurement tool) a mouth piece (connectable) (directly or indirectly via intermediary tubes) connected to said connector for measuring the breathing condition of a person (exhaling in) by use of said mouth piece (by use of said pressure) optionally said connecting means comprising:
- a plurality of connectors, each connector being capable for mechanical connecting at least one of said plurality of measurement tools.
A method, carried out by a computer, of training a model for computing for said one or more data sets, health conditions, said model, inputted with data sets as recording by said device or systems described above and outputting one or more health conditions, said training of said model being based on (i) loading a plurality of data set (from different persons) and their related health conditions and (ii) training, by adapting the model parameters, the model, based on said loaded information by comparing the output provided by the model with the loaded information.
Dependencies are inferred from the claim text.