Using human-computer interface for rehabilitation of activities of daily living (ADL) in stroke patients: Lessons from the first prototype

Johannes Pflügler, Andrea Schlegel, Emilie Jean-Baptiste, Pia Rotshtein, Matteo Pastorino, Javier Rojo, Jose Maria Cogollor, Maria Teresa Arredondo, Marta M.N. Bieńkiewicz, Joachim Hermsdörfer

Research output: Contribution to journalArticlepeer-review

Abstract

Technological progress in the area of health informatics provides new prospects for the neurorehablitation of neurological patients. The CogWatch project (www.cogwatch.eu) is dedicated to development of automatized assistance system to improve motor planning and task execution for stroke survivors, who suffer from Apraxia and Action Disorganization Syndrome (AADS). The system is targeted at promoting user independence from the therapist or care-provider during performance of Activities of Daily Living (ADL). In this study, we present insights from the evaluation of the first prototype interface, designed to aid users with hot drink preparation in the kitchen environment (i.e. tea-making). Ten out of the eleven tested participants (8 patients; 3 controls) were able to prepare the selected cup of tea using the Cogwatch System. A case studies summary is presented to illustrate a successful example of patient-computer interactions and a proof of concept.

Original languageEnglish
Pages (from-to)629-636
Number of pages8
JournalBiosystems and Biorobotics
Volume7
DOIs
StatePublished - 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

Keywords

  • AADS
  • ADL
  • Apraxia
  • Cueing
  • Stroke rehabilitation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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