title: Motor recovery monitoring using acceleration measurements in post acute stroke patients.
abstract: BACKGROUND
  Stroke is one of the major causes of morbidity and mortality. Its recovery and treatment depends on close clinical monitoring by a clinician especially during the first few hours after the onset of stroke. Patients who do not exhibit early motor recovery post thrombolysis may benefit from more aggressive treatment.
  
  
  METHODS
  A novel approach for monitoring stroke during the first few hours after the onset of stroke using a wireless accelerometer based motor activity monitoring system is developed. It monitors the motor activity by measuring the acceleration of the arms in three axes. In the presented proof of concept study, the measured acceleration data is transferred wirelessly using iMote2 platform to the base station that is equipped with an online algorithm capable of calculating an index equivalent to the National Institute of Health Stroke Score (NIHSS) motor index. The system is developed by collecting data from 15 patients.
  
  
  RESULTS
  We have successfully demonstrated an end-to-end stroke monitoring system reporting an accuracy of calculating stroke index of more than 80%, highest Cohen's overall agreement of 0.91 (with excellent κ coefficient of 0.76).
  
  
  CONCLUSIONS
  A wireless accelerometer based 'hot stroke' monitoring system is developed to monitor the motor recovery in acute-stroke patients. It has been shown to monitor stroke patients continuously, which has not been possible so far with high reliability.
authors.affiliation: Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Melbourne, VIC-3010, Australia.
authors.forename: Jayavardhana
authors.initials: J
authors.lastname: Gubbi
authors.forename: Aravinda S
authors.initials: AS
authors.lastname: Rao
authors.forename: Kun
authors.initials: K
authors.lastname: Fang
authors.forename: Bernard
authors.initials: B
authors.lastname: Yan
authors.forename: Marimuthu
authors.initials: M
authors.lastname: Palaniswami
mesh_terms: D000054:Acceleration; D000368:Aged; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009043:Motor Activity / Q000502:physiology*; D020127:Recovery of Function; D020521:Stroke / Q000503:physiopathology*; D013997:Time Factors; D059015:Wireless Technology