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NUSHU for Veterans

Every step counts — together, we can help veterans walk better and safer every day.

Page

Swiss engineering. Human movement.

Born from the heart of Swiss engineering, where precision, reliability and rigorous science are a way of life, Magnes is a medical technology company and ETH Zurich spin-off headquartered in Zurich. Our AI and wearable sensors analyze human movement and deliver vibrotactile stimulation, advancing neurological care, fall prevention, AR/VR rehabilitation and digital biomarkers carrying the same Swiss promise: engineering that is exact, dependable, and made to improve people's lives

Page

More life in motion.

At Magnes, our journey began with a singular focus: untangling the complexities of movement in Parkinson’s disease. By mapping the nuanced, moment-to-moment mechanics of gait at its most challenging, we built a deep, clinical-grade understanding of human mobility, balance, and stability.

Page

Unstoppable Movement wants the best investors

At Magnes, we are building the world’s first technology wearable that goes beyond passive monitoring. What’s more, our intelligence inside shoes integrates real-time gait analytics, and targeted vibrostimulation through the soles of the feet. By delivering subtle stimulation right where the body meets the ground, we actively help the brain bypass frozen pathways, turning assessment in the clinic into seamless movement outside it.

Page

Join the movement

Join the Magnes Unstoppable Movement and help spread the word about what we are building together! Feel free to share our Instagram and LinkedIn pages with all your friends, family, and network, you never know who in your circle will be excited to discover Magnes and what our Unstoppable Movement is up to!

Article

Magnes Showcased NUSHU at CES 2025 in Las Vegas

In January 2025, Magnes exhibited at CES 2025 in Las Vegas , the world’s most influential technology event, bringing together global leaders, innovators, and decision-makers from across industries.

Article

Magnes at RehabWeek 2025

Magnes took part in RehabWeek 2025 in Chicago, one of the world’s leading conferences focused on rehabilitation technology and neurorehabilitation.

Project

Smartshoes for Freezing of Gait in Parkinson's Disease

This pilot study evaluates the safety, tolerability, and potential benefit of NUSHU provides vibration feedback for reducing freezing of gait in Parkinson’s disease. The study is conducted at Stanford University, Palo Alto, California, United States, 94305.

Project

NUSHU R

E!1470 NUSHU R is our latest European project in collaboration with DeepBlue and E BRI ( European Brain Research Institute by Rita Levi-Montalcini).

Solutions

nushu

NUSHU is a smart shoe equipped with advanced sensors and AI algorithms.

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Careers

We’re constantly looking to expand our team with talented people, who want to work in a mission-driven, creative environment to engineer the future of digital health.

Practical information

Contacts

Thanks for reaching out. We look forward to hearing from you and will get back to you as soon as possible.

Resources

Ongoing projects

Since 2014, we have been working closely with our clinical, industrial, and academic partners. We harvested invaluable experiences, which allowed us to develop and refine our products. We are always looking for new collaboration opportunities, as we strongly believe that great products emerge from great synergies.

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At Magnes we make every step count

Magnes is the Unstoppable Company for Unstoppable Movement. We’ve always believed that technology, at its absolute best, shouldn't just monitor our lives. It should be active and touch our lives. It should lift us up when we feel weak, bring us balance when we’re uncertain, and give us back the simple, quiet joy of moving freely through the world.

White papers

Traumatic Brain Injury: From Impact to Recovery

Understanding how brain injury can affect symptoms, walking, and rehabilitation.

Traumatic Brain Injury: From Impact to Recovery

Publications

An Intelligent In‐Shoe System for Gait Monitoring and Analysis with Optimized Sampling and Real‐Time Visualization Capabilities

The deterioration of gait can be used as a biomarker for ageing and neurological diseases. Continuous gait monitoring and analysis are essential for early deficit detection and personalized reha‐ bilitation. The use of mobile and wearable inertial sensor systems for gait monitoring and analysis have been well explored with promising results in the literature. In this work, we developed an inertial sensor based in‐shoe gait analysis system for real‐time gait monitoring and investigated the optimal sampling frequency to capture all the information on walking patterns. An exploratory valida‐ tion study was performed using an optical motion capture system on four healthy adult subjects.

Publications

Human gait-labeling uncertainty and a hybrid model for gait segmentation

Motion capture systems are widely accepted as ground-truth for gait analysis and are used for the validation of other gait analysis systems. To date, their reliability and limitations in manual labeling of gait events have not been studied. Objectives: Evaluate manual labeling uncertainty and introduce a hybrid stride detection and gait-event estimation model for autonomous, long-term, and remote monitoring. Methods: Estimate inter-labeler inconsistencies by computing the limits-of-agreement. Develop a hybrid model based on dynamic time warping and convolutional neural network to identify valid strides and eliminate non-stride data in inertial (walking) data collected by a wearable device. Finally, detect gait events within a valid stride region.

Publications

Toward a unified gait freeze index: a standardized benchmark for clinical and regulatory evaluations

Automatic methods for detecting FOG using the freeze index (FI) have been widely proposed to systematically monitor FOG in real life and guide therapy optimizations. However, methods to estimate the FI have relied on a broad range of measurement technologies and computational methodologies, often lacking mathematical rigor. This lack of standardization has severely hindered the acceptance of FI by regulatory agencies as a reproducible, robust, effective and safe measure on which to base further developments. In this study, we formalize the definition of the FI and propose a rigorous, explicit estimation algorithm, which may serve as a standard for future applications. This standardization provides a consistent and reliable benchmark.

White papers

What Gait Can Tell Us About Fall Risk

Falls are complex events influenced by many interacting factors. Since walking requires coordination of balance, sensory information, muscle function, attention, and movement, changes in gait can provide measurable data about how a person walks. Research has identified several gait characteristics associated with an increased risk of falling, including slower walking speed, shorter steps and strides, longer double-support time, and greater gait variability. However, no single gait parameter can determine whether someone will fall. Instead, gait measurements provide different pieces of information about walking performance. Considering multiple gait characteristics, documenting how they change over time, and measuring gait during standardized assessments and everyday walking provides a broader picture of how a person moves.

What Gait Can Tell Us About Fall Risk

White papers

From Perception to Movement

Humans use sensory information continuously to perceive their surroundings, understand the position and movement of their body, and adapt to a changing environment. While sight, hearing, smell, taste, and touch are familiar to most of us, less familiar senses also play an important role in how we move. Walking is a remarkable example of sensory information working together. Vision provides information about the environment, proprioception about the position and movement of the body, and the vestibular system about movement and orientation. The nervous system continuously integrates this information to guide and adapt movement. Understanding this interaction also introduces the concept of sensory augmentation, in which additional sensory information, such as vibrotactile feedback, can become part of this ongoing exchange.

From Perception to Movement

White papers

Walking: How the Nervous System Shapes Every Step

Walking is a fundamental part of everyday life, playing an important role in mobility and independence. Although it often feels automatic, each step requires constant coordination between the nervous system, sensory systems and muscles. Movement relies on an ongoing sensorimotor loop: the nervous system coordinates movement while receiving continuous sensory feedback from the body and environment to help guide and adapt each step. Changes in gait may result when this communication is affected by neurological injury or disease. Objective gait measurement can describe characteristics such as walking speed, step length, timing, symmetry and variability. Considering multiple gait parameters and how they change over time can provide a more detailed picture of how a person moves.

Walking: How the Nervous System Shapes Every Step

White papers

Vibrotactile Feedback for Gait Rehabilitation

Walking impairments are a major cause of reduced mobility, falls, and loss of independence in individuals with neurological disorders and age-related mobility decline. As the demand for effective rehabilitation continues to grow, there is increasing interest in technologies that can support gait training beyond the clinical setting. Wearable vibrotactile feedback is one such approach. By delivering precisely timed tactile cues during walking, these systems augment the sensory information available to the nervous system, supporting gait control and motor learning rather than replacing natural movement. A growing body of research demonstrates that vibration can influence proprioception, enhance sensorimotor processing, and improve clinically relevant aspects of gait. This paper reviews the scientific principles underlying wearable vibrotactile feedback, summarizes the current clinical evidence, and discusses how these findings support the development of wearable rehabilitation technologies for improving gait and functional mobility.

Vibrotactile Feedback for Gait Rehabilitation

Publications

A Smart Shoe System for Gait Analysis and Remote Monitoring in Parkinson's Disease - A Validation Study

Continuous gait monitoring is important in Parkinson’s Disease (PD) as gait deteriorates with disease progression and responses to treatment vary over time. Wearable sensor systems offer a practical alternative to laboratory-based gait assessment for real-world monitoring. This study aimed to (1) validate spatiotemporal gait parameters derived from the NUSHU smart shoe system against the Vicon motion capture system in healthy older adults and individuals with PD, and (2) assess whether measurement agreement was maintained during active vibrotactile feedback delivery. Thirty-two participants (17 with mild to moderate PD and 15 age- and gender-matched healthy older adults; mean age 67 ± 7.4 years) completed overground walking trials under no vibration, stance phase vibration, and swing phase vibration conditions. A total of 4790 strides were analysed using linear mixed effects models. Overall agreement was good for stride length (ICC = 0.894, CCC = 0.926), stride time (ICC = 0.853, CCC = 0.954), and velocity (ICC = 0.885, CCC = 0.940), with moderate agreement for double support time (ICC = 0.752, CCC = 0.477). Agreement remained consistent across vibration conditions in both groups.

Publications

An Intelligent In‐Shoe System for Gait Monitoring and Analysis with Optimized Sampling and Real‐Time Visualization Capabilities

The deterioration of gait can be used as a biomarker for ageing and neurological diseases. Continuous gait monitoring and analysis are essential for early deficit detection and personalized reha‐ bilitation. The use of mobile and wearable inertial sensor systems for gait monitoring and analysis have been well explored with promising results in the literature. In this work, we developed an inertial sensor based in‐shoe gait analysis system for real‐time gait monitoring and investigated the optimal sampling frequency to capture all the information on walking patterns. An exploratory valida‐ tion study was performed using an optical motion capture system on four healthy adult subjects.

Publications

Human gait-labeling uncertainty and a hybrid model for gait segmentation

Motion capture systems are widely accepted as ground-truth for gait analysis and are used for the validation of other gait analysis systems. To date, their reliability and limitations in manual labeling of gait events have not been studied. Objectives: Evaluate manual labeling uncertainty and introduce a hybrid stride detection and gait-event estimation model for autonomous, long-term, and remote monitoring. Methods: Estimate inter-labeler inconsistencies by computing the limits-of-agreement. Develop a hybrid model based on dynamic time warping and convolutional neural network to identify valid strides and eliminate non-stride data in inertial (walking) data collected by a wearable device. Finally, detect gait events within a valid stride region.

Publications

Toward a unified gait freeze index: a standardized benchmark for clinical and regulatory evaluations

Automatic methods for detecting FOG using the freeze index (FI) have been widely proposed to systematically monitor FOG in real life and guide therapy optimizations. However, methods to estimate the FI have relied on a broad range of measurement technologies and computational methodologies, often lacking mathematical rigor. This lack of standardization has severely hindered the acceptance of FI by regulatory agencies as a reproducible, robust, effective and safe measure on which to base further developments. In this study, we formalize the definition of the FI and propose a rigorous, explicit estimation algorithm, which may serve as a standard for future applications. This standardization provides a consistent and reliable benchmark.

Publications

PWR! Clinical Findings - 7th World Parkinson Congress 2026

At the 7th World Parkinson Congress 2026, clinical findings were presented from a case study developed and conducted in collaboration with Parkinson Wellness Recovery (PWR!) in Tucson, Arizona, evaluating the use of NUSHU smart shoes and adaptive vibrotactile feedback during a four-session gait rehabilitation program for a person living with Parkinson’s disease and significant freezing of gait (FOG). The study demonstrated measurable improvements across multiple mobility outcomes, particularly during cognitively demanding dual-task scenarios where freezing of gait symptoms are often more pronounced. Key findings included: Reduced freezing of gait scores during vibrotactile cueing sessions Improved gait performance under cognitive load Reinforcement of rehabilitation training effects through adaptive real-time feedback These findings contribute to the growing body of evidence supporting wearable, data-driven rehabilitation technologies designed to enhance mobility and support real-world Parkinson’s care. We were pleased to share these results with clinicians, researchers, rehabilitation specialists, industry leaders, and members of the Parkinson’s community at WPC 2026 in Phoenix. #WPC2026 #Parkinsons #Neurorehabilitation #DigitalHealth #MedTech #WearableTechnology #Mobility #ClinicalInnovation

Publications

QUT Clinical Findings - 7th World Parkinson Congress 2026

We are pleased to share that Magnes presented new clinical findings at the 7th World Parkinson Congress 2026. Our poster, developed in collaboration with Queensland University of Technology (QUT), explored the effects of smart shoe-based vibrotactile cueing on gait performance in people living with Parkinson’s disease and freezing of gait. Key findings presented included: Improved gait velocity and heel clearance Reduced gait variability and enhanced stability Persistent post-cueing effects beyond active stimulation The study analyzed more than 1,100 strides across multiple gait conditions, reinforcing the potential of wearable neurotechnology to support real-world mobility and objective movement assessment. We are proud to have contributed to the growing body of evidence supporting digital mobility solutions in Parkinson’s care and were grateful for the opportunity to engage with clinicians, researchers, industry leaders, and members of the Parkinson’s community at WPC 2026 in Phoenix. #WPC2026 #Parkinsons #DigitalHealth #MedTech #Neurotechnology #Mobility #ClinicalInnovation #WearableTechnology

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