Alma Cantu

ORCID: 0000-0001-6081-2439
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Research Areas
  • Balance, Gait, and Falls Prevention
  • Cerebral Palsy and Movement Disorders
  • Diabetic Foot Ulcer Assessment and Management
  • Telemedicine and Telehealth Implementation
  • Gait Recognition and Analysis
  • Human-Automation Interaction and Safety
  • Healthcare Systems and Technology
  • Data Visualization and Analytics
  • Spatial Cognition and Navigation
  • Mental Health and Patient Involvement
  • Advanced Computing and Algorithms
  • Virtual Reality Applications and Impacts
  • Older Adults Driving Studies
  • Occupational Health and Safety in Workplaces
  • Augmented Reality Applications
  • Ergonomics and Musculoskeletal Disorders
  • Time Series Analysis and Forecasting
  • Advanced Technologies in Various Fields
  • Spaceflight effects on biology
  • Muscle activation and electromyography studies
  • Human Mobility and Location-Based Analysis
  • Educational Tools and Methods
  • Digital Mental Health Interventions
  • Sensory Analysis and Statistical Methods

Newcastle University
2022-2024

Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)
2021-2022

Université de Toulouse
2022

Abstract Background Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection, foot initial contact detection (ICD), cadence (CAD) stride length (SL) estimates. Methods Twenty healthy older adults, 20 people Parkinson’s disease,...

10.1186/s12984-023-01198-5 article EN cc-by Journal of NeuroEngineering and Rehabilitation 2023-06-14
Cameron Kirk Arne Küderle M. Encarna Micó-Amigo Tecla Bonci Anisoara Paraschiv-Ionescu and 95 more Martin Ullrich Abolfazl Soltani Eran Gazit Francesca Salis Lisa Alcock Kamiar Aminian Clemens Becker Stefano Bertuletti Philip M. Brown Ellen Buckley Alma Cantu Anne‐Elie Carsin Marco Caruso Brian Caulfield Andrea Cereatti Lorenzo Chiari Ilaria D’Ascanio Judith García-Aymerich Clint Hansen Jeffrey M. Hausdorff Hugo Hiden Emily Hume Alison Keogh Felix Kluge Sarah Koch Walter Maetzler Dimitrios Megaritis Arne Mueller Martijn Niessen Luca Palmerini Lars Schwickert Kirsty Scott Basil Sharrack Henrik Sillén David Singleton Beatrix Vereijken Ioannis Vogiatzis Alison J. Yarnall Lynn Rochester Claudia Mazzà Bjoern M. Eskofier Silvia Del Din Francesca Bottin Lorenzo Chiari Cristina Curreli Ilaria D’Ascanio Giorgio Davico Roberta De Michele Giuliano Galimberti Luca Palmerini Saverio Ranciati Luca Reggi Marco Viceconti Lucia D’Apote Jules Desmond Megan Doyle Mary Elliot-Davey Gilles Gnacadja Anja Kassner Beat Knüsel Monika Pocrzepa Nicolas Pourbaix Hoi-Shen Radcliffe Lening Shen Jennifer Simon Jesper Havsol Diana Jarretta Magnus Jörntén‐Karlsson Pierre Mugnier Solange Corriol Rohou Gabriela Luporini Saraiva Henrik Sillén Michael Karl Boettger Igor Knezevic Frank Kramer Paolo Piraino H Trübel Hajar Ahachad Hubert Blain Sylvie Broussous François Canovas Florent Cerret Louis Dagneaux Valérie Driss Florence Galtier Charlote Kaan Stéphanie Miot Eva Murauer Anne-Sophie Vérissimo Daniela Berg Kirsten Emmert Clint Hansen Hanna Hildesheim Jennifer Kudelka Walter Maetzler

Abstract This study aimed to validate a wearable device’s walking speed estimation pipeline, considering complexity, speed, and bout duration. The goal was provide recommendations on the use of devices for real-world mobility analysis. Participants with Parkinson’s Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart Failure, healthy older adults (n = 97) were monitored in laboratory (2.5 h), using lower back device. Two pipelines validated...

10.1038/s41598-024-51766-5 article EN cc-by Scientific Reports 2024-01-19

Introduction The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis shifting unsupervised monitoring in naturalistic unconstrained settings. However, the extraction clinically relevant parameters from IMU data often depends heuristics-based algorithms rely empirically determined thresholds. These were validated small cohorts supervised Methods Here, a...

10.3389/fneur.2023.1247532 article EN cc-by Frontiers in Neurology 2023-10-16

Abstract Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices (WD) and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection (GSD), foot initial contact (ICD), cadence (CAD) stride length (SL) estimates. Methods: Twenty healthy older adults, 20 people Parkinson’s disease,...

10.21203/rs.3.rs-2088115/v1 preprint EN cc-by Research Square (Research Square) 2022-09-28

Although the value of patient and public involvement engagement (PPIE) activities in development new interventions tools is well known, little guidance exists on how to perform these a meaningful way. This particularly true within large research consortia that target multiple objectives, include groups, work across many countries. Without clear guidance, there risk PPIE may not capture opinions needs correctly, thereby reducing usefulness effectiveness tools. Mobilise-D an example consortium...

10.2196/44206 article EN cc-by Journal of Medical Internet Research 2023-08-31

Abstract Background: Estimation of walking speed from wearable devices requires combining a set algorithms in single analytical pipeline. The aim this study was to validate pipeline for estimation and assess its performance across different factors (complexity, speed, bout duration) make recommendations on the use validity real-world mobility analysis. Methods: Participants with Parkinson's Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart...

10.21203/rs.3.rs-2965670/v1 preprint EN cc-by Research Square (Research Square) 2023-06-22

In recent years, many aircraft manufacturers have proposed innovative cockpit concepts based on touchscreens. Although having a large number of advantages, this type solution suffers from severe limitations in operational use, particular, eyes-free interaction is nearly impossible and touchscreens are extremely complex to use during turbulent conditions. We examined the contribution physicality overcome these weaknesses by introducing shape-changing touchscreen that offers folds which user...

10.1145/3450522.3451246 preprint EN 2021-04-13

<sec> <title>BACKGROUND</title> Recent technological advances in wearable devices offer new potential for measuring mobility real-world contexts. Mobilise-D has validated digital outcomes to provide novel and endpoints clinical research of four different long-term health conditions (Parkinson’s disease (PD), Multiple Sclerosis (MS), Chronic Obstructive Pulmonary Disease (COPD), Proximal Femoral Fracture (PFF)). These also unique information that is important patients, however there limited...

10.2196/preprints.68782 preprint EN 2024-11-13

The goal of this research was to examine the possible benefits adapting Multi-Attribute Task Battery (MATB-II) in a virtual reality (VR) environment provide an immersive and ecological platform for studies on mental workload aerospace domain.The original desktop MATB-II has many advantages, but level immersion remains moderate, computer screen greatly reduces spatial dimension existing real environments such as cockpit.Thirty-one participants performed experiment during which we compared...

10.5220/0010912100003124 article EN cc-by-nc-nd Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2022-01-01

This paper presents a tool enabling the visual analysis of multivariate heterogeneous data. Large amounts measured and contextual data are being gathered for large number applications, increasing connectivity across different types. While often quantitative, tend to be categorical. results in datasets containing with properties. Difference natures these properties raises challenges when combining them analysis. design that enables exploration by strengths Parallel Coordinates Sets. The...

10.1109/pacificvis56936.2023.00010 article EN 2023-04-01

<sec> <title>UNSTRUCTURED</title> Although the value of patient and public involvement engagement (PPIE) activities in development new interventions tools is well known, little guidance exists on how to perform these a meaningful way. This particularly true within large research consortia that target multiple objectives, include groups, work across many countries. Without clear guidance, there risk PPIE may not capture opinions needs correctly, thereby reducing usefulness effectiveness...

10.2196/preprints.44206 preprint EN 2022-11-21
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