Gait, our 6th vital sign!

Since the first studies looking at pathological gait solutions in the 1970s, researchers and clinicians were restricted to laboratory conditions (using photogrammetric cameras, EMG, force plates,…) to study gait. Since 2000, inertial sensors offer new opportunities in the world of motion science and enable health professionals and biomechanists to measure gait for both routine assessment and impactful studies. Suiting those needs, PhysiGait products combine easiness of use with a validated accuracy.

geriatrics
Geriatrics

 Measurement of Timed Up and Go

Objective screening of frail people

Evaluation of fall risk

Standardisation of gait observation

gait_rehab
Physical Medicine

Pre/post rehabilitation comparison

Detection of pathological gait

Monitoring and valorisation of  therapy

Patient motivation engagement

movement science
Movement science

Gold standard wearable for biomechanics

Quality data for impactful cohort studies

Teaching tool with full access to raw data & cycle by cycle

Validated tool for ecological measurements

neurology
Neurology

Motor symptoms quantification

Monitoring of disease progression

Validation of therapy effectiveness

Assessement of Parkinson, Stroke and MS

PhysiGait Live

Instant and accurate gait analysis for routine assessment

PhysiGait Lab

Simple and accurate gait analysis for impactful studies

Key publications
Movement Science

Validation of PhysiGait vs optical motion capture: a suitable solution for objective clinical application outside of the lab
3D gait assessment in young and elderly subjects using foot-worn inertial sensors, Mariani et al, 2010

Validation of PhysiGait vs pressure insole to assess surgical outcome of patients with ankle osteoarthritis
Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors. Mariani et al, 2013

Validation of foot clearance as a new gait parameter related to the risk of falling
Heel and toe clearance estimation for gait analysis using wireless inertial sensors. Mariani et al, 2012

Geriatrics
Physical Medicine

Validation of PhysiGait vs optical motion capture on patient with PD
On-shoe wearable sensors for gait and turning assessment of patients with Parkinson’s disease. Mariani et al, 2013

Validation of PhysiGait for measurement of disease severity and therapeutic efficacy for patients with Duchenne muscular dystrophy
Gait assessment in children with duchenne muscular dystrophy during long-distance walking, Ganea et al, 2012

Biomechanical assessment and rehabilitation after major surgeries for ankle osteoarthrosis
Outcome of unilateral ankle arthrodesis and total ankle replacement in terms of bilateral gait mechanics, Chopra et al, 2014

Neurology

Validation of the inertial sensor-based Timed Up and Go (TUG) functional test in stroke survivors
Reliability and validity of the inertial sensor-based Timed” Up and Go” test in individuals affected by stroke. Wüest et al, 2016

Validation of PhysiGait vs optical motion capture on children with cerebral palsy graded GFMCS I & II
Spatio-temporal gait analysis in children with cerebral palsy using foot-worn inertial sensors. Bourgeois et al, 2014

Validation of PhysiGait as a complementary tool for medication dose in patients with PD
Gait analysis as a complementary tool in the levodopa dose decision in Vascular Parkinson’s Disease, Gago et al, 2017