Transformer la gestion des données pour une recherche de pointe

Les appareils Withings dynamisent la recherche grâce à une collecte de données à long terme pour des insights de santé plus approfondis, favorisant ainsi des avancées scientifiques majeures.

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Les appareils Withings sont conçus pour être utilisés à domicile, dans la vie quotidienne des utilisateurs, et non dans des environnements de laboratoire artificiels. En plus des appareils Wi-Fi et Bluetooth, Withings met à la disposition des chercheurs des appareils dotés de la connectivité cellulaire, permettant une collecte de données sans smartphone.

La précision des appareils Withings et leur large gamme de métriques de santé offrent aux chercheurs la possibilité d'exploiter des données du monde réel et de comprendre comment ces métriques varient dans des environnements naturels et comment elles sont influencées par les activités quotidiennes et les habitudes de vie.

ScanWatch 2 — Noir 42 mm — Vue éclatée des composants internes sur fond blanc, montrant le verre, le cadran, le circuit imprimé, le boîtier et le bracelet — vue éclatée, technique, composants

Les appareils Withings améliorent considérablement la capacité à collecter de plus grands volumes de données en assurant un suivi continu et complet auprès d'une large base de participants. Cette capacité de collecte de données exhaustive est précieuse pour faire avancer la recherche médicale et favoriser le développement de nouvelles interventions et technologies de santé.

Utilisé par les institutions de premier plan

Libérer le potentiel des données de santé innovantes

L'écosystème Withings vous permet de suivre un large éventail de données avec une précision de qualité médicale. Du nombre de pas à la vitesse de l'onde de pouls, les appareils Withings donnent accès à plus de 35 points de données. Les mesures de qualité médicale fournies par nos appareils résultent de nombreuses années d'études R&D menées par une équipe de plus de 50 collaborateurs dédiés à la recherche, basée dans nos locaux. Les efforts de cette équipe garantissent que les appareils Withings offrent non seulement un suivi de santé complet, mais contribuent également au développement de solutions innovantes pour la gestion des maladies chroniques.

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· Suivi des entraînements
· Calories brûlées
· Nombre de pas
· Minutes actives
· Distance (km, miles)
· Cycles de sommeil : profond ou léger
· Qualité du sommeil (durée, régularité, interruptions)
· Zone de fréquence cardiaque
· Perturbations respiratoires

Transformer la gestion des données pour une recherche de pointe

Utilisé par les institutions de premier plan

Libérer le potentiel des données de santé innovantes

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Body Comp

BPM Connect

Sommeil

BeamO

Bibliothèque de publications

Estimated sleep from an under-mattress device predicts next-day vigilance, working memory, and mental arithmetic performance

Accuracy of the Withings BPM Pro 2 (WPM07) Device for Self-Blood Pressure Measurements in the General Populations According to the International Organization for Standardization Universal Standard (ISO 81060-2:2018/AMD 2:2024) Protocol

Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis

Continuous smartwatch monitoring after atrial fibrillation ablation: feasibility of burden estimation and association with quality of life

Continuous Sleep Monitoring Using the Withings Sleep Mat to Assess Mean Disease Alleviation in OSA

Accuracy of Smartwatches in the Detection of Atrial Fibrillation: A Systematic Review and Diagnostic Meta-Analysis

Circadian Rhythm Timing and Associations With Sleep Symptoms in People With Insomnia

Obstructive sleep apnea severity varies by season and environmental influences such as ambient temperature

Sensors and Devices Based on Electrochemical Skin Conductance and Bioimpedance Measurements for the Screening of Diabetic Foot Syndrome: Review and Meta-Analysis

Design and validation of Withings ECG Software 2, a tiny neural network based algorithm for detection of atrial fibrillation

Assessment of sleep patterns in dementia and general population cohorts using passive in-home monitoring technologies

From Sudoscan to bedside: theory, modalities, and application of electrochemical skin conductance in medical diagnostics

Spontaneous walking characteristics of patients with peripheral arterial disease

User engagement with home blood pressure monitoring: a multinational cohort using real-world data collected with a connected device

Wearables are a viable digital health tool for older Indigenous adults living remotely in Australia

Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch

Validation of smartwatch electrocardiogram intervals in children compared to standard 12 lead electrocardiograms

Detection of Arrhythmias Using Smartwatches-A Systematic Literature Review

Impact of sleep quality and physical activity on blood pressure variability

Telemedical management of symptomatic Covid-19 outpatients

Regular snoring is associated with uncontrolled hypertension

Evaluating Accuracy in Five Commercial Sleep-Tracking Devices Compared to Research-Grade Actigraphy and Polysomnography

Multi-night measurement for diagnosis and simplified monitoring of obstructive sleep apnoea

Are we getting enough sleep? Frequent irregular sleep found in an analysis of over 11 million nights of objective in-home sleep data

Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter

Contactless and longitudinal monitoring of nocturnal sleep and daytime naps in older men and women: a digital health technology evaluation study

Feasibility and reliability of whintings scanwatch to record 4-lead Electrocardiogram: A comparative analysis with a standard ECG

https://www.frontiersin.org/articles/10.3389/fneur.2023.1256984/abstract#:~:text=The%20intra%2Dsample%20variability%20was,for%20the%20detection%20of%20SFN.

Three Contactless Sleep Technologies Compared With Actigraphy and Polysomnography in a Heterogeneous Group of Older Men and Women in a Model of Mild Sleep Disturbance: Sleep Laboratory Study

Accuracy in detecting atrial fibrillation in single-lead ECGs: an online survey comparing the influence of clinical expertise and smart devices

Evaluating an under-mattress sleep monitor compared to a peripheral arterial tonometry home sleep apnea test device in the diagnosis of obstructive sleep apnea

Multicohort cross-sectional study of cognitive and behavioural digital biomarkers in neurodegeneration: the Living Lab Study protocol

Investigating the accuracy of blood oxygen saturation measurements in common consumer smartwatches

Validation of the Withings BPM Core Device for Self-Blood Pressure Measurements in General Population According to the Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization Universal Standard

Circadian-like patterns in electrochemical skin conductance measured from home-based devices: a retrospective study

Model-Driven Dementia Prevention and Intervention Platform

Clinical validation of an artificial intelligence algorithm offering cross-platform detection of atrial fibrillation using smart device electrocardiograms

Sleep Irregularity Is Associated With Hypertension: Findings From Over 2 Million Nights With a Large Global Population Sample

https://www.sciencedirect.com/science/article/abs/pii/S0987705323000163?via%3Dihub

Digital health technology to support care and improve outcomes of chronic kidney disease patients: as a case illustration, the Withings toolkit health sensing tools

High night-to-night variability in sleep apnea severity is associated with uncontrolled hypertension

Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study

Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial

Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial

Six-lead device superior to single-lead smartwatch ECG in atrial fibrillation detection

Atrial Fibrillation Detection With an Analog Smartwatch: Prospective Clinical Study and Algorithm Validation

Remote Monitoring of Vital and Activity Parameters in Chronic Transfusion-Dependent Patients: A Feasibility Pilot Using Wearable Biosensors

Magnetic field interactions of smartwatches and portable electronic devices with CIEDs - Did we open a Pandora's box?

A comparison of ECG-based home monitoring devices in adults with CHD

Clinical Validation of Automated Corrected QT-Interval Measurements From a Single Lead Electrocardiogram Using a Novel Smartwatch

Exploring Wearables to Focus on the "Sweet Spot" of Physical Activity and Sleep After Hospitalization: Secondary Analysis

Accuracy of the Withings BPM Connect Device for Self-Blood Pressure Measurements in General Population - Validation According to the Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization Universal Standard

Multinight Prevalence, Variability, and Diagnostic Misclassification of Obstructive Sleep Apnea

Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study

Smartwatch Electrocardiograms for Automated and Manual Diagnosis of Atrial Fibrillation: A Comparative Analysis of Three Models

Heart Watch Study: protocol for a pragmatic randomised controlled trial

Patient-centered mobile health technology intervention to improve self-care in patients with chronic heart failure: Protocol for a feasibility randomized controlled trial

Validation of the Withings Sleep Analyzer, an under-the-mattress device for the detection of moderate-severe sleep apnea syndrome

Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study

Validation of the Withings ScanWatch as a Wrist-Worn Reflective Pulse Oximeter: Prospective Interventional Clinical Study

Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study

Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study

SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy

Night-time voids, level of bother and sleep characteristics in a non-patient population of wearable devices users

Withings Body Cardio versus Gold Standards of Pulse-Wave Velocity and Body Composition

Sleep in the Natural Environment: A Pilot Study

Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention

Validity of six consumer-level activity monitors for measuring steps in patients with chronic heart failure

Pneumatic sensor for cardiorespiratory monitoring during sleep

The validity of two commercially-available sleep trackers and actigraphy for assessment of sleep parameters in obstructive sleep apnea patients