@inProceedings{
 title = {Tremor suppression . Estimation of Tremor Time Series Parameters},
 type = {inProceedings},
 year = {2010},
 keywords = {Empirical Mode Decomposition,Human-Computer-Interface,Real-time es- timation.,Tremor,WFLC,WOTAS},
 city = {Vitória, ES, Brazil},
 id = {7cb70415-cac4-3ce8-a34b-3bcee24f84cb},
 created = {2015-04-29T14:03:33.000Z},
 file_attached = {true},
 profile_id = {83be13a1-4e81-3e4b-9603-d27f26bebe2e},
 group_id = {5ac1deb5-92b2-3f98-87d8-03b81a0fdb16},
 last_modified = {2017-03-14T11:09:31.719Z},
 read = {true},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Rocon2010a},
 folder_uuids = {0c56f4b1-e054-4755-ba36-3ce011e6473c},
 private_publication = {false},
 abstract = {This paper describes the work developed by the authors in the study of tremor time series. First, it introduces a novel technique for the study of tremor. It is a high-resolution method that solves most of limitations of the Fourier analysis (the standard technique to the study of tremor time series). This technique was used for the study of tremorous movement in joints of the upper limb. After, some conclusions about tremor behaviour in upper limb are presented. Furthermore, an algorithm able to estimate in real-time the voluntary and the tremorous movement was presented. This algorithm was validated in two contexts (tremor suppression via biomechanical loading and filtering undesired tremorous movements from PC mouse cursor) with successful results. Finally, some conclusions and future work will be given.},
 bibtype = {inProceedings},
 author = {Rocon, E and Gallego, J A and Ruiz, A F and Pons, Jose L},
 booktitle = {ISSNIP Biosignals and Biorobotics Conference 2010}
}

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