Towards e-Health Device Interoperability: The Spanish Experience in the Telemedicine Research Network. - Paula de Toledo; Miguel Galarraga; Ignacio Martínez; Luis Serrano; Julián Fernández 001; Francisco del Pozo (EMBC, 2006)

Interoperability of a Mobile Health Care Solution with Electronic Healthcare Record Systems. - Paula de Toledo; William Lalinde; Francisco del Pozo; Douglas Thurber; Silvia Jiménez-Fernández (EMBC, 2006)

Telemedicine Experience for Chronic Care in COPD. - Paula de Toledo; Silvia Jiménez-Fernández; Francisco del Pozo; Josep Roca; Albert Alonso; Carmen Hernández 003 (IEEE Trans. Inf. Technol. Biomed., 2006)

Implementation of an end-to-end standard-based patient monitoring solution. - Ignacio Martínez; Julián Fernández 001; Miguel Galarraga; Luis Serrano; Paula de Toledo; Silvia Jiménez-Fernández; Santiago Led; Miguel Martínez-Espronceda; José García 001 (IET Commun., 2008)

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. - Paula de Toledo; Pablo M. Rios; Agapito Ledezma; Araceli Sanchis; Jose F. Alen; Alfonso Lagares (IEEE Trans. Inf. Technol. Biomed., 2009)

Evolving activity recognition from sensor streams. - José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Paula de Toledo; Araceli Sanchis (EAIS, 2012)

Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data. - Andrés Duque; Francisco Javier Ordóñez; Paula de Toledo; Araceli Sanchis (IWAAL, 2012)

A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors. - Francisco Javier Ordóñez; Andrés Duque; Paula de Toledo; Araceli Sanchis (IWAAL, 2012)

Online activity recognition using evolving classifiers. - Francisco Javier Ordóñez; José Antonio Iglesias 001; Paula de Toledo; Agapito Ledezma; Araceli Sanchis (Expert Syst. Appl., 2013)

Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors. - Fco. Javier Ordóñez; Paula de Toledo; Araceli Sanchis (Sensors, 2013)

Usability and Interoperability in Wireless Sensor Networks for Patient Telemonitoring in Chronic Disease Management. - Silvia Jiménez-Fernández; Paula de Toledo; Francisco del Pozo (IEEE Trans. Biomed. Eng., 2013)

In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. - Francisco Javier Ordóñez; Gwenn Englebienne; Paula de Toledo; Tim van Kasteren; Araceli Sanchis; Ben J. A. Kröse (IEEE Pervasive Comput., 2014)

Sensor-based Bayesian detection of anomalous living patterns in a home setting. - Francisco Javier Ordóñez; Paula de Toledo; Araceli Sanchis (Pers. Ubiquitous Comput., 2015)

Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets. - Paula de Toledo; Carolin Joppien; María Paz Sesmero; Paul Drews (EMBC, 2019)

Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning. - Paula de Toledo; Rodrigo Pérez-Rodríguez; Pablo de Miguel; Araceli Sanchis; Pablo Serrano (EMBC, 2019)

Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data. - Ángela González-Cebrián; Sara Bordonaba; Javier Pascau; Igor Paredes; Alfonso Lagares; Paula de Toledo (Comput. Biol. Medicine, 2025)