Wearable Sensors for Pre- and Post-Operative Assessment of Cervical Myelopathy

Wearable sensor data effectively quantifies standard exam findings and identifies new metrics with the potential to assess more accurately pre-operative and post-operative function in patients with CSM. Previously unreported pre-operative to 6-month post-operative changes were seen in speed of gait and ground impact force during Tandem Gait. These metrics were more sensitive as compared to the normal antero-posterior and lateral sway assessment. 24-hour sensor data showed decreased number of turns during sleep post-operatively. This study suggests that wearable sensor data will be a viable source for quantifiable data with the potential to guide treatment for patients with CSM. This capability is based partly on better quantification of existing binary measures, but also on identification of unanticipated patterns within the data.

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Publication Details

Journal
Spine
Published
2025-02-19
DOI
https://doi.org/10.1097/brs.0000000000005309
Citations
2
Primary Topic
Cervical and Thoracic Myelopathy
Type
article
Field-Weighted Citation Impact
4.01
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article

Wearable Sensors for Pre- and Post-Operative Assessment of Cervical Myelopathy

Mladen Djurasovic, Steven D. Glassman, Charles H. Crawford, Jeffrey Lynn Gum et al.
2 citations
Spine
Cervical and Thoracic Myelopathy
4.01
article

Wearable Sensors for Pre- and Post-Operative Assessment of Cervical Myelopathy

Mladen Djurasovic, Steven D. Glassman, Charles H. Crawford, Jeffrey Lynn Gum, Leah Y. Carreon, Justin Mathew
article en
2 citations

Abstract

Wearable sensor data effectively quantifies standard exam findings and identifies new metrics with the potential to assess more accurately pre-operative and post-operative function in patients with CSM. Previously unreported pre-operative to 6-month post-operative changes were seen in speed of gait and ground impact force during Tandem Gait. These metrics were more sensitive as compared to the normal antero-posterior and lateral sway assessment. 24-hour sensor data showed decreased number of turns during sleep post-operatively. This study suggests that wearable sensor data will be a viable source for quantifiable data with the potential to guide treatment for patients with CSM. This capability is based partly on better quantification of existing binary measures, but also on identification of unanticipated patterns within the data.

Spine
Norton Healthcare (US)
Good health and well-being
Openalex Percentile: Top 9%
Cervical and Thoracic Myelopathy
4.01
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