Automated Scoring of Hemiparesis in Acute Stroke From Measures of Upper Limb Co-Ordination Using Wearable Accelerometry.
Shreyasi Datta, Chandan K Karmakar, Aravinda S Rao, Bernard Yan, Marimuthu Palaniswami
IEEE Transactions on Neural Systems and Rehabilitation Engineering | Institute of Electrical and Electronics Engineers | Published : 2020
Stroke survivors usually experience paralysis in one half of the body, i.e., hemiparesis, and the upper limbs are severely affected. Continuous monitoring of hemiparesis progression hours after the stroke attack involves manual observation of upper limb movements by medical experts in the hospital. Hence it is resource and time intensive, in addition to being prone to human errors and inter-rater variability. Wearable devices have found significance in automated continuous monitoring of neurological disorders like stroke. In this paper, we use accelerometer signals acquired using wrist-worn devices to analyze upper limb movements and identify hemiparesis in acute stroke patients, while they ..View full abstract
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Awarded by Australian Research Council
This work was supported by the Australian Research Council (ARC) Discovery Project under Grant DP190101248.