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Albert Samà
Researcher at Polytechnic University of Catalonia
Publications - 44
Citations - 1886
Albert Samà is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Gait (human) & Support vector machine. The author has an hindex of 21, co-authored 43 publications receiving 1424 citations. Previous affiliations of Albert Samà include University of Sierra Leone & Ramon Llull University.
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Journal ArticleDOI
Transition-Aware Human Activity Recognition Using Smartphones
TL;DR: Results show that TAHAR outperforms state-of-the-art baseline works and reveal the main advantages of the architecture.
Journal ArticleDOI
Home detection of freezing of gait using Support Vector Machines through a single waist-worn triaxial accelerometer
Daniel Rodríguez-Martín,Albert Samà,Carlos Pérez-López,Andreu Català,Joan M. Moreno Arostegui,Joan Cabestany,Àngels Bayés,Sheila Alcaine,Berta Mestre,Anna Prats,M. Cruz Crespo,Timothy J. Counihan,Patrick Browne,Leo R. Quinlan,Gearóid ÓLaighin,Dean Sweeney,Hadas Lewy,Joseph Azuri,Gabriel Vainstein,Roberta Annicchiarico,Alberto C.S. Costa,Alejandro Rodríguez-Molinero +21 more
TL;DR: The results show that a machine learning approach can be used to monitor FoG during the daily life of PD patients and, furthermore, personalised models for FoG detection can be use to improve monitoring accuracy.
Journal ArticleDOI
Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients
Claas Ahlrichs,Albert Samà,Michael Lawo,Joan Cabestany,Daniel Rodríguez-Martín,Carlos Pérez-López,Dean Sweeney,Leo R. Quinlan,Gearóid Ó Laighin,Timothy J. Counihan,Patrick Browne,Lewy Hadas,Gabriel Vainstein,Alberto Costa,Roberta Annicchiarico,Sheila Alcaine,Berta Mestre,Paola Quispe,Àngels Bayés,Alejandro Rodríguez-Molinero +19 more
TL;DR: A method to monitor FOG episodes based only on acceleration measurements obtained from a waist-worn device is presented and frequency features enable a reliable monitoring of FOG by using simply a waist sensor.
Journal ArticleDOI
SVM-based posture identification with a single waist-located triaxial accelerometer
Daniel Rodríguez-Martín,Albert Samà,Carlos Pérez-López,Andreu Català,Joan Cabestany,Alejandro Rodríguez-Molinero +5 more
TL;DR: A novel postural detection algorithm based in SVM methods which is able to detect and identify Walking, Stand, Sit, Lying, Sit to Stand, Stand to sit, Bending up/down, L lying from Sit and Sit from Lying transitions with a sensitivity and specificity of 97% and 84% with 2884 postures analyzed from 31 healthy volunteers.
Journal ArticleDOI
A Wearable Inertial Measurement Unit for Long-Term Monitoring in the Dependency Care Area
TL;DR: The new sensor system presented is being used in the real-time detection and analysis of Parkinson's disease symptoms, in gait analysis, and in a fall detection system, which is a flexible platform useful for collecting data via a triaxial accelerometer, a gyroscope and a magnetometer with the possibility to incorporate other information sources in real- time.