Eko recently launched an AI-powered software that its CEO describes as "Shazam for heartbeats." The platform connects with Eko's digital stethoscopes and identifies whether or not a patient's heart sounds are indicative of disease.
Fitbit has registered a patent to its name for estimating arterial stiffness and blood pressure by measuring the pulse wave velocity.
Ever wondered how your smartwatch is able to measure pulse, SpO2, stress, ECG, arterial stiffness, and other important vitals? Here's how!
Heart monitors are ubiquitous on wearable devices, and only growing more popular as a way for us to keep tabs on our health. But there’s a limit to what they can do.
There's no denying that the Huawei Watch GT3 Pro looks great, and like Huawei's other smartwatches, emerges as a really strong option for Android users. It's still not the perfect smartwatch though, especially if you're an iPhone user
The fact that smartwatches are getting more sophisticated as time goes is not groundbreaking news. Wrist wearables are more precise, feature-rich and accurate in 2022 than ever before. Some fitness tr
Wearable injectors are medical devices used to deliver drugs and other therapeutic agents through skin or mucosal membranes. The growth of the wearable injectors market is driven by factors such as the rising prevalence of chronic diseases, increasing focus on patient adherence and convenience, and technological advancements in drug delivery devices. However, the high cost of wearable injectors may restrain the growth of the market to a certain extent.
Researchers at Northwestern University have developed a wearable that can detect when someone is talking or singing, and tallies this information up to
Selon une étude récente menée en JMIR Diabète.1 De plus, une étude distincte dans Sciences appliquées ont constaté que les thérapies numériques réduisaient considérablement l’hémoglobine A1c (HbA1c) et la glycémie à jeun (FBG) chez les personnes atteintes de DT2.2 « Plusieurs études ont démontré le rôle de la technologie numérique, comme les plateformes thérapeutiques numériques, les […]
Apple serait parvenu à élaborer un détecteur de glucose sans qu’aucune piqûre ne soit nécessaire. Les ingénieurs de la marque à la...-Santé
Wearable devices have made it easier to generate and share data collected on individuals.
This systematic review seeks to investigate whether deidentifying data from wearable
devices is sufficient to protect the privacy of individuals in datasets. We searched
Web of Science, IEEE Xplore Digital Library, PubMed, Scopus, and the ACM Digital Library
on Dec 6, 2021 (PROSPERO registration number CRD42022312922). We also performed manual
searches in journals of interest until April 12, 2022. Although our search strategy
had no language restrictions, all retrieved studies were in English.
Wearable technology has been rapidly gaining popularity in recent years, and app development for wearable devices is becoming an increasingly influential movement in the mobile app industry. From smartwatches to fitness trackers and smart glasses, wearable devices are becoming an integral part of...
Afon has developed a non-invasive glucose sensor that has the potential to revolutionize the way blood glucose levels are monitored.
The $299 Nowatch is an elegant health tracker that can alert you when your stress levels are about to spike. While it can help you become more mindful, it comes with a hefty price tag, and despite looking like a watch, it isn’t one.
CEO Robert Ford discussed plans to grow the market for Abbott’s continuous glucose monitors, and its broader diabetes strategy.
Multiple smart devices capable to detect atrial fibrillation (AF) are presently available. Sensitivity and specificity for the detection of AF may dif…
A multi-disciplinary team of researchers has developed a way to monitor the progression of movement disorders using motion capture technology and AI.
Artificial intelligence has the potential to revolutionize healthcare, yet clinical trials in neurological diseases continue to rely on subjective, semiquantitative and motivation-dependent endpoints for drug development. To overcome this limitation, we collected a digital readout of whole-body movement behavior of patients with Duchenne muscular dystrophy (DMD) (n = 21) and age-matched controls (n = 17). Movement behavior was assessed while the participant engaged in everyday activities using a 17-sensor bodysuit during three clinical visits over the course of 12 months. We first defined new movement behavioral fingerprints capable of distinguishing DMD from controls. Then, we used machine learning algorithms that combined the behavioral fingerprints to make cross-sectional and longitudinal disease course predictions, which outperformed predictions derived from currently used clinical assessments. Finally, using Bayesian optimization, we constructed a behavioral biomarker, termed the KineDMD ethomic biomarker, which is derived from daily-life behavioral data and whose value progresses with age in an S-shaped sigmoid curve form. The biomarker developed in this study, derived from digital readouts of daily-life movement behavior, can predict disease progression in patients with muscular dystrophy and can potentially track the response to therapy. A digital biomarker derived from a multisensor bodysuit that monitors whole-body movement while individuals perform everyday activities can predict disease progression in Duchenne muscular dystrophy.
Friedreichʼs ataxia (FA) is caused by a variant of the Frataxin (FXN) gene, leading to its downregulation and progressively impaired cardiac and neurological function. Current gold-standard clinical scales use simplistic behavioral assessments, which require 18- to 24-month-long trials to determine if therapies are beneficial. Here we captured full-body movement kinematics from patients with wearable sensors, enabling us to define digital behavioral features based on the data from nine FA patients (six females and three males) and nine age- and sex-matched controls, who performed the 8-m walk (8-MW) test and 9-hole peg test (9 HPT). We used machine learning to combine these features to longitudinally predict the clinical scores of the FA patients, and compared these with two standard clinical assessments, Spinocerebellar Ataxia Functional Index (SCAFI) and Scale for the Assessment and Rating of Ataxia (SARA). The digital behavioral features enabled longitudinal predictions of personal SARA and SCAFI scores 9 months into the future and were 1.7 and 4 times more precise than longitudinal predictions using only SARA and SCAFI scores, respectively. Unlike the two clinical scales, the digital behavioral features accurately predicted FXN gene expression levels for each FA patient in a cross-sectional manner. Our work demonstrates how data-derived wearable biomarkers can track personal disease trajectories and indicates the potential of such biomarkers for substantially reducing the duration or size of clinical trials testing disease-modifying therapies and for enabling behavioral transcriptomics. Full-body movements captured using a multisensor body suit predict the clinical trajectory of patients with Friedreichʼs ataxia, providing digital biomarkers of disease progression.
Le digital impacte notre vie quotidienne et devient de plus en plus présent dans…
The treatment of mood disorders, which can become a lifelong process, varies widely in efficacy between individuals. Most options to monitor mood rely on subjective self-reports and clinical visits, which can be burdensome and may not portray an accurate representation of what the individual is...
Bristol Myers Squibb et l’EDHEC Business School publient leur 1er baromètre dans le cadre de la Chaire de recherche « Management in Innovative Health »
un dispositif d’analyse d’urine connecté, sans contact, à domicile.
Matthieu Minty, chirurgien-dentiste et chercheur au laboratoire toulousain I2MC (Inserm), a identifié des biomarqueurs salivaires de plusieurs pathologies dont le diabète. Il travaille sur un projet de den
The photoacoustic patch comprises several different ultrasonic transducers that detect acoustic waves and vertical-cavity surface-emitting laser (VCSEL) diodes. Both types are integrated on a common substrate composed of an elastomeric matrix and are linked to each other by coiled metal electrodes.
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