Algorithms and Measures

Gait and Mobility

Gait and mobility disorders are major causes of falls and predict future falls more consistently than other identified risk factors.

Gait and Balance

Gait and Mobility

Impaired mobility is the inability to control and maintain body position during sitting, standing, walking and climbing stairs while performing activities of daily living. ActiGraph technology can objectively quantify mobility and gait, both during supervised, in-clinic tests and continuously in a real-world environment. Objective measures of posture, gait and overall mobility from digital health technologies can reveal subtle changes in movement characteristics that may not be obvious otherwise – sometimes years prior to a clinical diagnosis. Assessment of fall-risk and detection of falls in real world are also where wearables can provide insights into physical wellbeing of people with chronic diseases with impaired mobility.

Commonly Used mobility Measures

  •   Walking Speed
  •   Stride Velocity
  •   Real-World 6-Minute Walking Distance (RW-6MWD)
  •   Fall Detection
  •   Fall Risk

GAIT AND MOBILITY SENSORS ACTIVITY MONITORS
Measures Accelerometer Gyroscope Wear Location Supported
Step Count   Wrist, Lumbar All
Cadence   Wrist, Lumbar All
Gait Speed   Wrist, Lumbar All
Distance   Wrist, Lumbar All
WB Cadence, Speed, Distance   Wrist, Lumbar All
Spatiotemporal   Lumbar All
Stride Duration Lumbar AG LEAP
Stride Cadence Lumbar AG LEAP
Stride Velocity Lumbar AG LEAP
Stride Length Lumbar AG LEAP
WB Duration Lumbar AG LEAP
No. of Strides per WB Lumbar AG LEAP
WB Cadence, Speed, Distance Lumbar AG LEAP

   Mobilise-D Licensed Algorithms      |      WB - Walking Bout

GAIT AND MOBILITY
Measures
Step Count
Cadence
Gait Speed
Distance
WB Cadence, Speed, Distance
Spatiotemporal
Stride Duration
Stride Cadence
Stride Velocity
Stride Length
WB Duration
No. of Strides per WB
WB Cadence, Speed, Distance

   Mobilise-D Licensed Algorithms      |      WB - Walking Bout

SENSORS
Accelerometer Gyroscope
 
 
 
 
 
 

   Mobilise-D Licensed Algorithms      |      WB - Walking Bout

ACTIVITY MONITORS
Wear Location Supported
Wrist, Lumbar All
Wrist, Lumbar All
Wrist, Lumbar All
Wrist, Lumbar All
Wrist, Lumbar All
Lumbar All
Lumbar AG LEAP
Lumbar AG LEAP
Lumbar AG LEAP
Lumbar AG LEAP
Lumbar AG LEAP
Lumbar AG LEAP
Lumbar AG LEAP

   Mobilise-D Licensed Algorithms      |      WB - Walking Bout


Mobilise-D

Researchers can capture digital mobility outcomes using the most up-to-date and clinically validated1 Mobilise-D algorithms supported by ActiGraph’s state-of-the-art device hardware and innovative software platform. The Mobilise-D consortium, a collaboration of over 300 research partners during a 5-year project, generated device-agnostic, validated digital mobility measures to advance research and care in healthy and disease populations such as chronic obstructive pulmonary disease (COPD), Parkinson’s disease (PD), multiple sclerosis (MS) and proximal femoral fracture (PFF).

1. Validation References

Micó-Amigo, M., Bonci, T., Paraschiv-Ionescu, A. et al. Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. J NeuroEngineering Rehabil 20, 78 (2023). https://doi.org/10.1186/s12984-023-01198-5

Mazzà C, Alcock L, Aminian K, et al. Technical validation of real-world monitoring of gait: a multicentric observational study. BMJ Open 2021;11:e050785. doi: 10.1136/bmjopen-2021-050785

A. Soltani et al., "Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1955-1964, 2021, doi: 10.1109/TNSRE.2021.3111681.

Lynn Rochester, Claudia Mazzà, Arne Mueller, Brian Caulfield, Marie McCarthy, Clemens Becker, Ram Miller, Paolo Piraino, Marco Viceconti, Wilhelmus P. Dartee, Judith Garcia-Aymerich, Aida A. Aydemir, Beatrix Vereijken, Valdo Arnera, Nadir Ammour, Michael Jackson, Tilo Hache, Ronenn Roubenoff, on behalf of the Mobilise-D Consortium; A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach. Digit Biomark 8 December 2020; 4 (Suppl. 1): 13–27. https://doi.org/10.1159/000512513

GAIT AND BALANCE WEAR LOCATION    
Measures Wrist Waist / Hip Ankle    
Step Count    
Cadence    
Gait Speed    
Step / Stride Length      
Stride Velocity      
Temporal      
Distance    
6MWD    
Symmetry      

     Accelerometer
  Gyroscope
  Bilateral Recording


ActiGraph

Pioneering the Digital Transformation of Clinical Research