Browsing by Author "Delgado-Gonzalo, Ricard"
Now showing items 1-20 of 46
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A systematic classification of cuffless blood pressure monitoring techniques: the three-layer framework
Solà, Josep; Proença, Martin; Braun, Fabian; Delgado-Gonzalo, Ricard; Ferrario, Damien; Renevey, Philippe; Verjus, Christophe; Lemay, Mathieu; Chetelat, Olivier; Bertschi, Mattia; Krauss, Jens (2017) -
A systematic classification of cuffless BP techniques: The three-layer framework
Delgado-Gonzalo, Ricard (2017-07-11) -
Accurate walking and running speed estimation using wrist inertial data
Bertschi, Mattia; Celka, Patrick; Delgado-Gonzalo, Ricard; Lemay, Mathieu; Muntané, Enric; Grossenbacher, Olivier; Renevey, Philippe (2015)In this work, we present an accelerometry-based device for robust running speed estimation integrated into a watch-like device. The estimation is based on inertial data processing, which consists in applying a leg-and-arm ... -
An autonomous medical monitoring system: Validation on arrhythmia detection
Lemkaddem, Alia; Proenca, Martin; Delgado-Gonzalo, Ricard; Renevey, Philippe; Oei, Ing; Montano, Giuseppe; Martinez-Heras, Jose-Antonio; Donati, Alessandro; Bertschi, Mattia; Lemay, Mathieu (2017)In this paper, we present a generic platform for autonomous medical monitoring and diagnostics. We validated the platform in the context of arrhythmia detection with publicly available databases. The big advantage of this ... -
Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals
Klumpp, Matthias; Hintze, Marcus; Immonen, Milla; Ródenas-Rigla, Francisco; Pilati, Francesco; Aparicio-Martínez, Fernando; Çelebi, Dilay; Liebig, Thomas; Jirstrand, Mats; Urbann, Oliver; Hedman, Marja; Lipponen, Jukka A.; Bicciato, Silvio; Radan, Anda-Petronela; Valdivieso, Bernardo; Thronicke, Wolfgang; Gunopulos, Dimitrios; Delgado-Gonzalo, Ricard (2021-07-29)The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved ... -
Atrial Fibrillation Detection on Low-Power Wearables using Knowledge Distillation
Faraone, Antonino; Sigurthorsdottir, Halla; Delgado-Gonzalo, Ricard (2021-11-01) -
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
Van Zaen, Jérôme; Delgado-Gonzalo, Ricard; Ferrario, Damien; Lemay, Mathieu (2019-02-22) -
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network:
Van Zaen, Jérôme; Chételat, Olivier; Lemay, Mathieu; Calvo, Enric; Delgado-Gonzalo, Ricard (2019) -
Clinical validation of LTMS-S: A wearable system for vital signs monitoring
Chetelat, Olivier; Ferrario, Damien; Proenca, Martin; Porchet, Jacques-Andre; Falhi, Abdessamad; Grossenbacher, Olivier; Delgado-Gonzalo, Ricard; Della Ricca, Nicolas; Sartori, Claudio (2015)LTMS-S is a new wearable system for the monitoring of several physiological signals – including a twolead electrocardiogram (ECG) – and parameters, such as the heart rate, the breathing rate, the peripheral oxygen saturation ... -
Collaborative Privacy-Preserving Decision Tree Learning
El Zein, Yamane; Olteanu, Alexandra-Mihaela; Delgado-Gonzalo, Ricard; Huguenin, Kevin (2020-11-03)Building robust predictive machine learning (ML) models requires access to large datasets. Such datasets can be built by aggregating data held by multiple data providers. An example would be medical datasets, whereby ... -
Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection
Faraone, Antonino; Delgado-Gonzalo, Ricard (2020-03-23) -
Cuffless blood pressure monitoring at the chest: single-channel reflective PPG sensors are inaccurate
Solà, Josep; Vybornova, Anna; Braun, Fabian; Proença, Martin; Delgado-Gonzalo, Ricard; Ferrario, Damien; Verjus, Christophe; Bertschi, Mattia; Pierrel, Nicolas; Degiorgis, Yan; Schoettker, Patrick (2017-07) -
Detection of beat-to-beat intervals from wrist photoplethysmography in patients with sinus rhythm and atrial fibrillation after surgery
Tarniceriu, Adrian; Harju, Jarkko; Vehkaoja, Antti; Parak, Jakub; Delgado-Gonzalo, Ricard; Renevey, Philippe; Yli-Hankala, Arvi; Korhonen, Ilkka (2018)Wrist photoplethysmography (PPG) allows unobtrusive monitoring of the heart rate (HR). PPG is affected by the capillary blood perfusion and the pumping function of the heart, which generally deteriorate with age and due ... -
Digital womens health based on wearables and big data
Stein, Peter; Falco, Lisa; Kuebler, Florian; Annaheim, Simon; Lemkaddem, Alia; Delgado-Gonzalo, Ricard; Verjus, Christophe; Leeners, Brigitte (2016)OBJECTIVE: To develop a model to evaluate candidate agents to create tubal occlusion for nonsurgical permanent contraception DESIGN: Descriptive nonhuman primate study. MATERIALS AND METHODS: Reproductive tracts were ... -
ECG Classification With a Convolutional Recurrent Neural Network
Sigurthorsdottir, Halla; Van Zaen, Jérôme; Delgado-Gonzalo, Ricard; Lemay, Mathieu (2020-12-30)We developed a convolutional recurrent neural network to classify 12-lead ECG signals for the challenge of PhysioNet/Computing in Cardiology 2020 as team Pink Irish Hat. The model combines convolutional and recurrent layers, ... -
Efficient privacy-preserving neural network inference for heart arrythmia detection
Chervet, Philipp; Olteanu, Alexandra-Mihaela; Troncoso-Pastoriza, Juan Ramón; Froelicher, David; Van Zaen, Jérôme; Delgado-Gonzalo, Ricard; Hubaux, Jean-Pierre (2019-08-27) -
Electronic fetal monitoring system (ELAINE): Novel technique for non-invasive assessment of the fetal electrocardiogram
Radan, Anda-Petronela; Delgado-Gonzalo, Ricard; Bonnier, Guillaume; Strahm, Karin Maya; Yilmaz, Gürkan; Schneider, Sophie; Lemay, Mathieu; Surbek, Daniel (2021-06-23) -
Embedded Deep Learning for Sleep Staging
Türetken, Engin; Van Zaen, Jerome; Delgado-Gonzalo, Ricard (2019)The rapidly-advancing technology of deep learning (DL) into the world of the Internet of Things (IoT) has not fully entered in the fields of m-Health yet. Among the main reasons are the high computational demands of DL ... -
Evaluation of accuracy and reliability of PulseOn optical heart rate monitoring device
Delgado-Gonzalo, Ricard; Parak, Jakub; Tarniceriu, Adrian; Renevey, Philippe; Bertschi, Mattia; Korhonen, Ilkka (2015)PulseOn is a wrist-worn optical heart rate (HR) monitor based on photoplethysmography. It utilizes multiwavelength technology and optimized sensor geometry to monitor blood flow at different depths of skin tissue, and it ... -
Evaluation of the beat-to-beat detection accuracy of PulseOn wearable optical heart rate monitor
Parak, Jakub; Tarniceriu, Adrian; Renevey, Philippe; Bertschi, Mattia; Delgado-Gonzalo, Ricard; Korhonen, Ilkka (2015)Heart rate variability (HRV) provides significant information about the health status of an individual. Optical heart rate monitoring is a comfortable alternative to ECG based heart rate monitoring. However, most available ...