The Science Inside

U-Turn detection from angular velocity: effects of device location

Robust Smartphone Placement Classification to Enhance Digital Biomarker Reliability

Step by Step: Unlocking Accurate Smartphone-Based Gait Analysis in Multiple Sclerosis

Biomarkers of Alzheimer’s disease modification using adaptive cognitive assessments to improve responsiveness — a simulation study

FAIR-Q: A Frequency-Adaptive Iterative and Robust Quantification Method for Step Detection

A method for accurate step detection from IMU data recorded from smartphones worn in multiple body locations

Characterizing gait in people with multiple sclerosis using digital data from smartphone sensors: A proposed framework

CoGames: Development of an adaptive smartphone-based and gamified monitoring tool for cognitive function in Multiple Sclerosis.

Discriminating Between Indoor and Outdoor Environments During Daily Living Activities Using Local Magnetic Field Characteristics and Machine Learning Techniques.

Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study.

ActiGraph and Indivi Announce Partnership to Advance Precision Neuroscience Trials

Elevating the bar by demonstrating cross-device reliability to advance future-proof and hardware-agnostic digital endpoints in multiple sclerosis

Smartphone-based cognitive games provide features that are related to the volume of key brain structures for cognitive function.

Digital monitoring of motor function in people with MS correlates with measures of cervical spinal cord volume.

CoGames – Development of a smartphone-based gamified monitoring tool for cognitive functions in Multiple Sclerosis.

Classification of MS-severity-subgroups using smartphone-based motor tasks and machine learning.

Konectom™ cognitive processing speed test enables reliable remote, unsupervised cognitive assessment in people with multiple sclerosis: Exploring the use of substitution time as a novel digital outcome measure.

Reliability and acceptance of dreaMSᴹᴰ, a software application for people with multiple sclerosis: a feasibility study.

DISPEL: a Python Framework for Developing Measures from Digital Health Technologies.

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study.

Indivi to Collaborate with Biogen to Advance Digital Health Technology and Digital Biomarkers for Parkinson’s Disease

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.

Digital Mobility Measures: A Window into Real-World Severity and Progression of Parkinson's Disease.

Smartwatch-derived sleep and heart rate measures complement step counts in explaining established metrics of MS severity.

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.

Evolving regulatory perspectives on digital health technologies for medicinal product development.

Assessment of cognitive performance in multiple sclerosis using smartphone-based training games: a feasibility study

Healios AG Named as a Finalist For The Coveted 2022 Swiss Medtech Award

Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review.