Actigraphic measurement of the upper limbs for the prediction of ischemic stroke prognosis: An observational study

Giuseppe Reale, Silvia Giovannini, Chiara Iacovelli, Stefano Filippo Castiglia, Pietro Picerno, Aurelia Zauli, Marco Rabuffetti, Maurizio Ferrarin, Giulio Maccauro, Pietro Caliandro

Research output: Contribution to journalArticlepeer-review


Background: It is often challenging to formulate a reliable prognosis for patients with acute ischemic stroke. The most accepted prognostic factors may not be sufficient to predict the recovery process. In this view, describing the evolution of motor deficits over time via sensors might be useful for strengthening the prognostic model. Our aim was to assess whether an actigraphic-based parameter (Asymmetry Rate Index for the 24 h period (AR2_24 h)) obtained in the acute stroke phase could be a predictor of a 90 d prognosis. Methods: In this observational study, we recorded and analyzed the 24 h upper limb movement asymmetry of 20 consecutive patients with acute ischemic stroke during their stay in a stroke unit. We recorded the motor activity of both arms using two programmable actigraphic systems positioned on patients’ wrists. We clinically evaluated the stroke patients by NIHSS in the acute phase and then assessed them across 90 days using the modified Rankin Scale (mRS). Results: We found that the AR2_24 h parameter positively correlates with the 90 d mRS (r = 0.69, p < 0.001). Moreover, we found that an AR2_24 h > 32% predicts a poorer outcome (90 d mRS > 2), with sensitivity = 100% and specificity = 89%. Conclusions: Sensor-based parameters might provide useful information for predicting ischemic stroke prognosis in the acute phase.

Original languageEnglish
Article number2479
Issue number7
Publication statusPublished - Apr 1 2021


  • Actigraphy
  • Cerebrovascular diseases
  • Inertial sensors
  • Ischemic stroke
  • Prognosis

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering


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