Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait and hands movement

Author:

Orozco-Arroyave Juan Rafael12,Vásquez-Correa Juan Camilo12,Klumpp Philipp2,Pérez-Toro Paula Andrea1,Escobar-Grisales Daniel1,Roth Nils3,Ríos-Urrego Cristian David1,Strauss Martin2,Carvajal-Castaño Helber Andrés1,Bayerl Sebastian2,Castrillón-Osorio Luis Reinel1,Arias-Vergara Tomas124,Künderle Arne3,López-Pabón Felipe Orlando1,Parra-Gallego Luis Felipe1,Eskofier Björn3,Gómez-Gómez Luis Felipe1,Schuster Martia4,Nöth Elmar2

Affiliation:

1. GITA Research Lab, Faculty of Engineering, University of Antioquia, 050010 Medellín-Colombia

2. LME Lab, Faculty of Engineering, University of Erlangen, 91058 Erlangen-Germany

3. MaD Lab, Faculty of Engineering, University or Erlangen, 91052 Erlangen-Germany

4. Department of Otorhinolaryngology, Head & Neck Surgery, Ludwig-Maximilians University, 81377 Munich-Germany

Abstract

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.

Publisher

Future Medicine Ltd

Subject

Neurology (clinical)

Reference46 articles.

1. National Collaborating Centre for Chronic Conditions. Parkinson’s disease: National Clinical Guideline for Diagnosis and Management in Primary and Secondary Care. Royal College of Physicians, London, UK (2006). www.ncbi.nlm.nih.gov/pubmed/21089238

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3. An economic model of Parkinson's disease: Implications for slowing progression in the United States

4. Smartphone Sensing Technologies for Tailored Parkinson’s Disease Diagnosis and Monitoring

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