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.
Authors
- Mladen Djurasovic
- Steven D. Glassman (ORCID: https://orcid.org/0000-0002-5488-9357)
- Charles H. Crawford (ORCID: https://orcid.org/0000-0003-4197-4023)
- Jeffrey Lynn Gum (ORCID: https://orcid.org/0000-0003-0471-9437)
- Leah Y. Carreon (ORCID: https://orcid.org/0000-0002-7685-9036)
- Justin Mathew (ORCID: https://orcid.org/0000-0002-7699-780X)
Institutions
- Norton Healthcare (US)
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