Aim: This paper introduces Apkinson, a mobile application for motor evaluation and monitoring of Parkinson's disease patients. Materials & methods: The App is based on previously reported methods, for instance, the evaluation of articulation and pronunciation in speech, regularity and freezing of gait in walking, and tapping accuracy in hand movement. Results: Preliminary experiments indicate that most of the measurements are suitable to discriminate patients and controls. Significance is evaluated through statistical tests. Conclusion: Although the reported results correspond to preliminary experiments, we think that Apkinson is a very useful App that can help patients, caregivers and clinicians, in performing a more accurate monitoring of the disease progression. Additionally, the mobile App can be a personal health assistant.
Aim: This paper introduces Apkinson, a mobile application for motor evaluation and monitoring of Parkinson's diseasepatients. Materials & methods: The App is based on previously reported methods, for instance, the evaluation of articulation and pronunciation in speech, regularity and freezing of gait in walking, and tapping accuracy in hand movement. Results: Preliminary experiments indicate that most of the measurements are suitable to discriminate patients and controls. Significance is evaluated through statistical tests. Conclusion: Although the reported results correspond to preliminary experiments, we think that Apkinson is a very useful App that can help patients, caregivers and clinicians, in performing a more accurate monitoring of the disease progression. Additionally, the mobile App can be a personal health assistant.
Entities:
Keywords:
Parkinson’s disease; automatic monitoring; finger tapping; gait; hand movement; mobile application; motor evaluation; speech
Authors: Viviana Mendoza Ramos; Juan C Vasquez-Correa; Rani Cremers; Leen Van Den Steen; Elmar Nöth; Marc De Bodt; Gwen Van Nuffelen Journal: Int J Lang Commun Disord Date: 2021-07-06 Impact factor: 2.909