Products
PAMSys™
Continuous monitoring of body postures, postural transitions, and walking from a single wearable sensor.
PAMSys is an FDA-listed, pendant-worn sensor that measures body posture, postural transitions, and walking patterns during daily life. It offers up to 3 months of battery life with walking-only recording, onboard storage, and wireless charging between recording periods.
PAMSys accepted into the FDA ISTAND program
The FDA ISTAND program has accepted a Letter of Intent for PAMSys-derived ambulation measures as longitudinal outcomes in clinical trials of progressive supranuclear palsy–Richardson syndrome (PSP-RS).
A broader view of daily physical activity
Daily function involves how much people walk, how they move between postures, and how activity varies throughout the day. PAMSys measures these patterns with a single wearable sensor, bringing walking, posture, and transition measures together with wear-time information. Additional research measures include activity intensity, estimated sleep, and detected falls.
PAMSys has been used in more than 100 clinical studies across over 30 countries. Its measures have served as primary or secondary endpoints in more than 10 clinical trials.
What PAMSys measures
PAMSys reports 27 daily physical activity parameters, including walking, posture, and postural-transition measures. Depending on the parameter, outputs include totals, durations, averages, medians, and percentile summaries.
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Walking and running
Walking and running bouts, step counts, cadence, bout duration, and step-duration variability.
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Posture and activity states
Time spent sitting, standing, walking, running, and lying down, with percentage summaries.
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Postural transitions
Sit-to-stand and stand-to-sit transition counts throughout the day.
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Wear adherence
Estimated wear time and non-wear periods help study teams assess adherence and interpret activity data.
Additional parameters (research only)
Additional research measures provide context about activity intensity, estimated sleep, and falls alongside the standard activity parameters.
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Activity level
Estimated time in sedentary, moderate, and vigorous activity, with the start and end times of each period.
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Sleep-related estimates
Lying periods and sensor-derived estimates of sleep onset latency, wake after sleep onset, and total sleep time.
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Falls and related activity
Detected fall events and their timing, alongside activity measures for fall-risk research.
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Raw data access
Access to raw sensor data for study-specific analyses.
Designed for real-world monitoring
Designed for extended activity recording outside the clinic, with onboard storage, wireless charging, and automated analysis.
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Single lightweight sensor
One lightweight pendant records daily movement, posture, and walking patterns with a simple wear routine.
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Up to 3 months of battery life
Battery life of up to 3 months with the walking-only recording configuration, which records raw accelerometer data only during walking; onboard storage and wireless charging support extended monitoring.
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FDA-listed, CE marked
Listed with the FDA as a Class II device and CE marked under the EU Medical Device Regulation (2017/745). Device selection follows the study's intended use and regional requirements.
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Wear-time information
Algorithms identify likely non-wear periods, helping researchers distinguish time without usable wear data from low activity.
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Measurements from daily life
Captures activity at home and in the community, adding daily-life context to structured clinic assessments.
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Pairs with PAMSys ULM
Combine the PAMSys pendant with PAMSys ULM wrist sensors to measure daily mobility and upper-limb movement within one study protocol.
Advancing ambulation measures for PSP trials
The FDA's Innovative Science and Technology Approaches for New Drugs (ISTAND) program supports the development and qualification of novel drug development tools. PAMSys has been accepted into the program for measuring ambulation in PSP clinical trials. Qualification would establish a defined context of use for the measures.
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Accepted into the FDA ISTAND program
PAMSys measures ambulation during everyday life to support assessment of change over time in PSP clinical trials. Program acceptance is distinct from FDA qualification for a defined context of use.
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Ambulation measured in daily life
The proposed measures are derived from continuous at-home recording with the PAMSys pendant. They describe walking during daily routines and are being developed to complement established clinical assessments.
PAMSys specifications
| Specification | Details |
|---|---|
| Form factor | Single lightweight pendant-worn sensor |
| Sensors | 3-axis accelerometer |
| Activity monitoring | Signal-processing algorithms for body posture, postural transitions, and walking parameters |
| Parameters | 27 daily physical activity parameters |
| Battery and memory | Up to 3 months of battery life with the walking-only recording configuration, with onboard storage; wireless charging |
| Wear adherence | Estimated wear time and algorithmic identification of non-wear periods |
| Data output | Processed activity parameters, per-step timestamps and durations, plus raw sensor data |
| Monitoring mode | Continuous recording during wear |
| Cloud integration | BioDigit Cloud: centralized study data portal with API access |
| Regulatory and quality | FDA-listed Class II device; CE marked under EU MDR 2017/745; ISO 13485 quality management. Study data protection controls support HIPAA and GDPR obligations |
PAMSys research across disease areas
Explore daily activity and mobility research across the populations below. Selected clinical, sensor, and digital assessment datasets are available through BioDigit Database, subject to study-specific access terms. Contact BioSensics about current cohort coverage and available measures.
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Healthy controls
Reference data from participants without the target condition support comparisons with patient cohorts and analysis of variation in daily activity.
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Amyotrophic lateral sclerosis
Daily walking and posture measures support research on mobility and physical activity in amyotrophic lateral sclerosis.
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Alzheimer's disease
Daily activity, walking, and sleep-related estimates provide context for research on functional change over time.
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Charcot-Marie-Tooth disease
Wearable activity measures can be examined alongside clinical scores to study mobility in Charcot-Marie-Tooth disease.
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Corticobasal syndrome
Daily activity and posture measures support investigation of mobility patterns in corticobasal syndrome.
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Friedreich's ataxia
Activity measures support investigation of daily mobility and its relationship with established clinical assessments.
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Huntington disease
Research in prodromal and manifest Huntington disease examines relationships between daily activity, disease stage, and clinical scores.
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Inclusion body myositis
Daily activity and walking measures complement clinical assessments in inclusion body myositis research.
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Myasthenia gravis
Activity patterns provide context for studying fluctuating function alongside fatigue, weakness, and clinical assessments.
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Progressive supranuclear palsy
Longitudinal walking, posture, and activity data support research on mobility changes in progressive supranuclear palsy.
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Spinocerebellar ataxia
Daily physical activity and walking measures support research on mobility in spinocerebellar ataxia.
PAMSys publications and presentations
Selected journal articles and conference abstracts explore the use of PAMSys for daily activity measurement, clinical research, and digital biomarker development.
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Neurology abstract, 2025
Remote Monitoring of Physical Activity and Upper Limb Function in Inclusion Body Myositis via Wearable Sensors (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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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
Wearable-based Remote Monitoring of Disease Symptoms in Myasthenia Gravis (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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Scientific Reports, 2024
Harnessing physical activity monitoring and digital biomarkers of frailty from pendant based wearables to predict chemotherapy resilience in veterans with cancer (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
Combine PAMSys with other BioSensics devices and assessments within one study protocol, with supported study data accessible through BioDigit Cloud.
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Gait monitoring
PAMSys Gait
Continuous real-world gait monitoring with stride-level metrics from a single ankle-worn sensor.
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Upper-limb monitoring
PAMSys ULM
Wrist-worn monitoring of upper-limb movement during daily activities.
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At-home monitoring
BioDigit Home
Remote collection of speech, video, cognitive, and patient-reported assessments from participants at home on a single study device.
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Fall monitoring
PAMSys Fall
Pendant-worn monitoring that identifies potential falls to support fall-frequency measurement in clinical research.
Bring PAMSys into your study
Talk to our team about the activity measures, monitoring schedule, and data outputs that fit your clinical trial or research study.