patent/EP-3548994-A2

http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3548994-A2

Outgoing Links

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filingDate	2017-11-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor	http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8ff7cfae6edd3c5857691e3baa99299e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_42cf20d3677907737e5c58d343e788b0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d64808109d3679b4c7c503e6239e5cb7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_42e5c031b2ace00f9a8da9b0c83f4c89 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e3d36ec337388bf73e83e58e7eae996c
publicationDate	2019-10-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber	EP-3548994-A2
titleOfInvention	Detecting and using body tissue electrical signals
abstract	Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.
priorityDate	2016-12-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type	http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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Total number of triples: 52.