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Spatial-Temporal Analysis of Gait in Amyotrophic Lateral Sclerosis Using Foot-Worn Inertial Sensors: An Observational Study.

作者信息

Lukac Meghan, Luben Hannah, Martin Anne E, Simmons Zachary, Geronimo Andrew

机构信息

Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, USA.

Department of Neurology, Penn State College of Medicine, Hershey, PA, USA.

出版信息

Digit Biomark. 2023 May 30;8(1):22-29. doi: 10.1159/000530067. eCollection 2024 Jan-Dec.


DOI:10.1159/000530067
PMID:39473802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11521409/
Abstract

INTRODUCTION: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that alters gait and increases the risk of falls. The current model of care involves in-person multidisciplinary clinic visits to, in part, assess alterations in gait, evaluate safety, and make recommendations for management. Clinic visits, however, are relatively infrequent, and multidisciplinary evaluations can be physically demanding for patients. To better understand how gait changes over time in those with ALS and enable healthcare providers to properly respond to these changes, remote monitoring of functional mobility would be advantageous. METHODS: The objective of this study was to remotely track long-term changes in walking speed using wearable inertial measurement units (IMUs). Nine ALS patients and 6 healthy controls submitted twice-weekly home walking recordings for 24 and 4 weeks, respectively. An IMU data processing method was developed and validated against laboratory-measured walking speed. RESULTS: For both ALS patients and healthy controls, home walking speed was less than clinic walking speed by an average of 0.19 m/s ( = 0.0024). Over 24 weeks, home walking speed significantly decreased for 5 of 9 ALS patients at an average of -0.021 m/s/months ( = 0.005). Those who eventually transitioned to using assistive device (AD) while on the study demonstrated a greater decrease in walking speed than those who did not. CONCLUSIONS: Remote longitudinal gait monitoring of ALS patients is feasible with the use of an IMU. Decreases in walking speed were detected in the majority of patients, most strongly in those who eventually transitioned to an AD. Home walking speed may more accurately represent the walking abilities of ALS patients in their real-life environments, a finding which further supports the case for remote monitoring in ALS.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/6da6f4edb4eb/dib-2024-0008-0001-530067_F06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/0b5435d77f89/dib-2024-0008-0001-530067_F02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/3840199149e9/dib-2024-0008-0001-530067_F03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/5be232a3c4b6/dib-2024-0008-0001-530067_F04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/23971430af8f/dib-2024-0008-0001-530067_F05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/6da6f4edb4eb/dib-2024-0008-0001-530067_F06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/0b5435d77f89/dib-2024-0008-0001-530067_F02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/3840199149e9/dib-2024-0008-0001-530067_F03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/5be232a3c4b6/dib-2024-0008-0001-530067_F04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/23971430af8f/dib-2024-0008-0001-530067_F05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/11521409/6da6f4edb4eb/dib-2024-0008-0001-530067_F06.jpg

相似文献

[1]
Spatial-Temporal Analysis of Gait in Amyotrophic Lateral Sclerosis Using Foot-Worn Inertial Sensors: An Observational Study.

Digit Biomark. 2023-5-30

[2]
Inertial sensing of step kinematics in ambulatory patients with ALS and related motor neuron diseases.

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[3]
[Physical performance in patients with amyotrophic lateral sclerosis and its relationship with wheelchairs and walking aids use].

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[4]
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Eur J Neurol. 2023-10

[5]
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[6]
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[7]
Wearable inertial sensors provide reliable biomarkers of disease severity in multiple sclerosis: A systematic review and meta-analysis.

Ann Phys Rehabil Med. 2020-3

[8]
Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial.

JMIR Mhealth Uhealth. 2019-11-27

[9]
Toward a Remote Assessment of Walking Bout and Speed: Application in Patients With Multiple Sclerosis.

IEEE J Biomed Health Inform. 2021-11

[10]
Beyond gait speed: exploring the added value of Inertial Measurement Unit-based measurements of gait in the estimation of the walking ability in daily life.

BMC Neurol. 2024-4-17

引用本文的文献

[1]
Pathophysiology, Clinical Heterogeneity, and Therapeutic Advances in Amyotrophic Lateral Sclerosis: A Comprehensive Review of Molecular Mechanisms, Diagnostic Challenges, and Multidisciplinary Management Strategies.

Life (Basel). 2025-4-14

[2]
The association between gait speed and falls in ambulatory adults with spinal muscular atrophy: a retrospective pilot study.

Front Neurol. 2024-12-4

本文引用的文献

[1]
Inertial sensing of step kinematics in ambulatory patients with ALS and related motor neuron diseases.

J Med Eng Technol. 2021-8

[2]
Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls.

J Neuroeng Rehabil. 2020-12-1

[3]
Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study.

J Med Internet Res. 2020-10-9

[4]
Accelerometry for remote monitoring of physical activity in amyotrophic lateral sclerosis: a longitudinal cohort study.

J Neurol. 2019-6-11

[5]
Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring.

Eur Rev Aging Phys Act. 2019-5-3

[6]
Relationship between Daily and In-laboratory Gait Speed among Healthy Community-dwelling Older Adults.

Sci Rep. 2019-3-5

[7]
ALS longitudinal studies with frequent data collection at home: study design and baseline data.

Amyotroph Lateral Scler Frontotemporal Degener. 2018-11-28

[8]
Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System.

Comput Math Methods Med. 2018-9-30

[9]
The clinical significance of 10-m walk test standardizations in Parkinson's disease.

J Neurol. 2018-6-6

[10]
Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model.

Lancet Neurol. 2018-3-26

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