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ORCIDJavier Conte Alcaraz
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2020 – today
- 2022
[b1]Javier Conte Alcaraz:
Intelligent signal processing for digital healthcare monitoring. University of Hanover, Germany, 2022- 2021
- [j1]Javier Conte Alcaraz
, Sanam Moghaddamnia, Jürgen Peissig:
Efficiency of deep neural networks for joint angle modeling in digital gait assessment. EURASIP J. Adv. Signal Process. 2021(1): 10 (2021) - 2020
- [c7]Javier Conte Alcaraz, Sanam Moghaddamnia, Maxim Penner, Jürgen Peissig:
Monitoring the Rehabilitation Progress Using a DCNN and Kinematic Data for Digital Healthcare. EUSIPCO 2020: 1333-1337
2010 – 2019
- 2019
- [c6]Javier Conte Alcaraz, Sanam Moghaddamnia, Martin Fuhrwerk, Jürgen Peissig:
Efficiency of the Memory Polynomial Model in Realizing Digital Twins for Gait Assessment. EUSIPCO 2019: 1-5 - 2018
- [c5]Javier Conte Alcaraz, Sanam Moghaddamnia, Nils Poschadel, Jürgen Peissig:
Machine Learning as Digital Therapy Assessment for Mobile Gait Rehabilitation. MLSP 2018: 1-6 - 2017
- [c4]Javier Conte Alcaraz, Sanam Moghaddamnia, Jürgen Peissig:
Mobile quantification and therapy course tracking for gait rehabilitation. DSP 2017: 1-5 - [c3]Nils Poschadel, Sanam Moghaddamnia, Javier Conte Alcaraz, Marc Christian Steinbach, Jürgen Peissig:
A dictionary learning based approach for gait classification. DSP 2017: 1-4 - [i1]Javier Conte Alcaraz, Sanam Moghaddamnia, Jürgen Peissig:
Mobile Quantification and Therapy Course Tracking for Gait Rehabilitation. CoRR abs/1707.03275 (2017) - 2015
- [c2]Javier Conte Alcaraz, Sanam Moghaddamnia, Jürgen Peissig:
An Android-based application for digital gait performance analysis and rehabilitation. HealthCom 2015: 640-643
2000 – 2009
- 2002
- [c1]F. Martínez, Antonio Guillamón, Javier Conte Alcaraz, M. C. Alcaraz:
Detection of chaotic behaviour in speech signals using the largest Lyapunov exponent. DSP 2002: 317-320
Coauthor Index
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