Measuring gait kinematics and self selected walking speed in healthy adults using inertial measurement units

To study mobility in older populations it can be advantageous to use portable gait analysis systems, such as inertial measurement units (IMUs), which can be used in the community. To define a normal range, 136 active subjects were recruited with an age range of 18 to 97. Four IMUs were attached to the subjects, one on each thigh and shank. Subjects were asked to walk 10 m at their own self-selected speed. The ranges of motion of thigh, shank, and knee in both swing and stance phase were calculated, in addition to stride duration. Thigh, shank, and knee range of movement in swing and stance were significantly different only in the > 80 age group. Regressions of angle against age showed a cubic relationship. Stride duration showed a weak linear relationship with age, increasing by approximately 0.1% per year.

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Walking speed and slope estimation using shank-mounted inertial measurement units

2009 IEEE International Conference on Rehabilitation Robotics ◽

10.1109/icorr.2009.5209598 ◽

2009 ◽

Cited By ~ 5

Author(s):

Q. Li ◽

M. Young ◽

V. Naing ◽

J. M. Donelan

Keyword(s):

Walking Speed ◽

Inertial Measurement Units ◽

Inertial Measurement ◽

Measurement Units ◽

Slope Estimation

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Measuring the effects of lighting distribution on walking speed and head pitch with wearable inertial measurement units

2012 IEEE Industry Applications Society Annual Meeting ◽

10.1109/ias.2012.6374078 ◽

2012 ◽

Cited By ~ 1

Author(s):

Justin Patts ◽

John J Sammarco ◽

Brianna Eiter

Keyword(s):

Walking Speed ◽

Inertial Measurement Units ◽

Inertial Measurement ◽

Measurement Units

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Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol

Sensors ◽

10.3390/s21175833 ◽

2021 ◽

Vol 21 (17) ◽

pp. 5833

Author(s):

Elke Warmerdam ◽

Robbin Romijnders ◽

Johanna Geritz ◽

Morad Elshehabi ◽

Corina Maetzler ◽

...

Keyword(s):

Motion Capture ◽

Healthy Adults ◽

Response To Treatment ◽

Inertial Measurement Units ◽

Mobility Patterns ◽

Inertial Measurement ◽

Neurological Patients ◽

Optical Motion ◽

Measurement Units ◽

Optical Motion Capture

Healthy adults and neurological patients show unique mobility patterns over the course of their lifespan and disease. Quantifying these mobility patterns could support diagnosing, tracking disease progression and measuring response to treatment. This quantification can be done with wearable technology, such as inertial measurement units (IMUs). Before IMUs can be used to quantify mobility, algorithms need to be developed and validated with age and disease-specific datasets. This study proposes a protocol for a dataset that can be used to develop and validate IMU-based mobility algorithms for healthy adults (18–60 years), healthy older adults (>60 years), and patients with Parkinson’s disease, multiple sclerosis, a symptomatic stroke and chronic low back pain. All participants will be measured simultaneously with IMUs and a 3D optical motion capture system while performing standardized mobility tasks and non-standardized activities of daily living. Specific clinical scales and questionnaires will be collected. This study aims at building the largest dataset for the development and validation of IMU-based mobility algorithms for healthy adults and neurological patients. It is anticipated to provide this dataset for further research use and collaboration, with the ultimate goal to bring IMU-based mobility algorithms as quickly as possible into clinical trials and clinical routine.

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