Use of Accelerometry for Long Term Monitoring of Stroke Patients

February 5, 2019

Alfredo LucasJohn HermizJamie LaBuzettaYevgeniy ArabadzhiNavaz KaranjiaVikash Gilja

Early Access Note:
Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are peer-reviewed and edited but not paginated. Both these types of Early Access articles are fully citable from the moment they appear in IEEE Xplore.

Use of Accelerometry for Long Term Monitoring of Stroke

Abstract

Stroke patients are monitored hourly by physicians and nurses in an attempt to better understand their physical state. To quantify the patients’ level of mobility, hourly movement (i.e. motor) assessment scores are performed, which can be taxing and time consuming for nurses and physicians. In this study we attempt to find a correlation between patient motor scores and continuous accelerometer data recorded in subjects who are unilaterally impaired due to stroke. The accelerometers were placed on both upper and lower extremities of 4 severely unilaterally impaired patients and their movements were recorded continuously for 7 to 14 days. Features that incorporate movement smoothness, strength and characteristic movement patterns were extracted from the accelerometers using time-frequency analysis. Support Vector Classifiers were trained with the extracted features to test the ability of the long term accelerometer recordings in predicting dependent and antigravity sides, and significantly above baseline performance was obtained in most instances (P < 0:05). Finally a leave-one-subject-out approach was carried out to assess the generalizability of the proposed methodology, and above baseline performance was obtained in two out of the three tested subjects. The methodology presented in this study provides a simple, yet effective approach to perform long term motor assessment in neurocritical care patients.

READ FULL ARTICLE ON IEEE XPLORE

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