Products
PAMSys Gait™
Objective gait monitoring during daily life with a single ankle-worn sensor.
PAMSys Gait records steps and measures stride duration, stride length, and walking speed during everyday activities. Battery life is seven days at 100 Hz and up to three months, depending on configuration and sampling rate.
Everyday gait insights for neurological and neuromuscular research
Capture walking patterns beyond the clinic to characterize mobility and explore changes over time. Discuss how PAMSys Gait can fit your study, and explore relevant research data through the BioDigit Database.
Measure gait during everyday life
Clinic-based gait assessments provide a structured view of mobility. Everyday walking adds another perspective, shaped by environment, fatigue, medication timing, and daily routines. PAMSys Gait records movement continuously during wear to help researchers examine walking patterns between visits.
Stride-level measures of everyday walking
PAMSys Gait measures individual strides within walking bouts. Summaries such as the mean, median, 90th percentile, and 95th percentile help researchers describe typical performance and the range of walking patterns over time.
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Walking speed
Walking speed for each detected stride (m/s).
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Stride length
Estimated distance traveled during each stride (m).
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Stride duration
Time between successive steps of the same foot (s).
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Steps per walking bout
Number of steps recorded within each walking bout.
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Walking speed variability
Variation in walking speed across strides and walking bouts.
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Stride length variability
Variation in stride length during recorded walking.
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Walking activity
Number and duration of walking bouts.
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Step count
Daily and cumulative number of steps.
Designed for real-world monitoring
A lightweight wearable combines high-frequency motion sensing with automated gait analysis to support extended monitoring outside the clinic.
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Lightweight, single-sensor design
One lightweight ankle sensor with an adjustable strap captures stride-level data with a simple wear routine.
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7 days to 3 months of battery life
Battery life is seven days at 100 Hz and up to three months, depending on configuration and sampling rate. Select the configuration and charging schedule to match the planned monitoring period.
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High-frequency sensing
A 9-axis inertial measurement unit (IMU) records motion at a default sampling rate of 100 Hz. Raw sensor data are available alongside processed gait measures.
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Real-world measurement
Measures gait during everyday activities at home and in the community, providing a view of mobility beyond a single controlled clinic assessment.
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Track mobility over time
Repeated stride-level measurements support analysis of mobility patterns and changes across days, weeks, and study visits.
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Works within a multimodal protocol
Combine PAMSys Gait with the PAMSys pendant and PAMSys ULM wrist sensor to study gait, physical activity, and upper-limb movement within one protocol.
PAMSys Gait specifications
| Specification | Details |
|---|---|
| Form factor | Single lightweight ankle-worn sensor with adjustable strap |
| Sensors | 9-axis IMU (accelerometer, gyroscope, and magnetometer) |
| Sampling rate | 100 Hz default (customizable) |
| Gait detection | Automated walking bout detection and individual stride analysis |
| Orientation compensation | Automatic correction for sensor repositioning during daily wear |
| Battery life | 7 days at 100 Hz; up to 3 months depending on configuration and sampling rate |
| Water resistance | IPX5 protection against water jets; not rated for immersion |
| Data output | Processed gait parameters plus raw sensor data |
| Monitoring mode | Continuous recording during wear |
| Wear adherence | Wear-time tracking to support adherence review |
| Cloud integration | BioDigit Cloud: centralized study data portal with API access |
| Regulatory and quality | CE-marked medical device; ISO 13485 quality management system |
Explore gait research by cohort
Explore opportunities to study daily walking in the populations below. BioSensics can advise on PAMSys Gait study design and relevant BioDigit Database resources, including the sensor types and measures available for each cohort.
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Healthy controls
Reference gait measures can support comparisons with patient cohorts and help characterize variation in everyday walking.
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Corticobasal syndrome
Stride-level measures can help researchers characterize daily walking patterns alongside clinical assessments.
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Duchenne muscular dystrophy
Daily gait measures can support research on ambulatory function and changes in walking over time.
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Huntington disease
Walking patterns can be examined alongside clinical assessments to explore their relationship with disease status.
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Progressive supranuclear palsy
Repeated gait measurements can support research on how daily mobility changes over time.
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Spinocerebellar ataxia
Stride-level measures can help characterize walking variability and its relationship with clinical assessments.
Related BioSensics research
Selected journal articles and conference abstracts on gait, mobility, and physical activity using BioSensics technologies. These studies cover several devices, including PAMSys pendant sensors, and provide context for real-world mobility research.
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Neurology abstract, 2025
Application of Wearable Sensors to Assess Disease Severity in Adults with Charcot-Marie-Tooth Disease (opens in a new tab)
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Neurology abstract, 2025
Association Between Wearable Sensor Data and Clinical Scores in Individuals with Early-stage Multiple System Atrophy (opens in a new tab)
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Neurology abstract, 2025
Remote Multi-modal Monitoring in ALS Using Wearable and Digital Assessments (opens in a new tab)
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Communications Medicine, 2024
At-home wearable-based monitoring predicts clinical measures and biological biomarkers of disease severity in Friedreich's Ataxia (opens in a new tab)
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Neurology abstract, 2023
Longitudinal study of Progressive Supranuclear Palsy (PSP) using remote at-home multi-modal digital assessments and wearable devices (opens in a new tab)
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PLOS ONE, 2021
Harnessing digital health to objectively assess cancer-related fatigue: The impact of fatigue on mobility performance (opens in a new tab)
Part of the BioSensics ecosystem
Deploy PAMSys Gait alongside other BioSensics devices within one study protocol, with study data managed through BioDigit Cloud.
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Activity monitoring
PAMSys
Pendant sensor for monitoring body posture, postural transitions, physical activity, and walking parameters.
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Upper-limb monitoring
PAMSys ULM
Wrist-worn sensor for measuring upper-limb movement during everyday activities.
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At-home monitoring
BioDigit Home
Remote collection of speech, video, cognitive, and patient-reported assessments from participants at home using a single study device.
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Research data
BioDigit Database
A research database bringing together clinical, sensor, and digital assessment data from disease-specific studies.
Bring PAMSys Gait into your study
Explore how PAMSys Gait can support objective, real-world mobility assessment in your clinical research or drug development program.