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Computerized spiral analysis using the iPad.
Sisti, Jonathan A; Christophe, Brandon; Seville, Audrey Rakovich; Garton, Andrew L A; Gupta, Vivek P; Bandin, Alexander J; Yu, Qiping; Pullman, Seth L.
Afiliação
  • Sisti JA; Columbia University College of Physicians and Surgeons, Columbia University, New York, NY, USA.
  • Christophe B; Columbia University College of Physicians and Surgeons, Columbia University, New York, NY, USA.
  • Seville AR; Department of Computer Science, Columbia College, USA.
  • Garton AL; Columbia University College of Physicians and Surgeons, Columbia University, New York, NY, USA.
  • Gupta VP; Columbia University College of Physicians and Surgeons, Columbia University, New York, NY, USA.
  • Bandin AJ; Columbia University College of Physicians and Surgeons, Columbia University, New York, NY, USA.
  • Yu Q; Department of Neurology, Clinical Motor Physiology Laboratory, Columbia University Medical Center, New York, NY, USA.
  • Pullman SL; Department of Neurology, Clinical Motor Physiology Laboratory, Columbia University Medical Center, New York, NY, USA. Electronic address: sp31@cumc.columbia.edu.
J Neurosci Methods ; 275: 50-54, 2017 01 01.
Article em En | MEDLINE | ID: mdl-27840146
ABSTRACT

BACKGROUND:

Digital analysis of writing and drawing has become a valuable research and clinical tool for the study of upper limb motor dysfunction in patients with essential tremor, Parkinson's disease, dystonia, and related disorders. We developed a validated method of computerized spiral analysis of hand-drawn Archimedean spirals that provides insight into movement dynamics beyond subjective visual assessment using a Wacom graphics tablet. While the Wacom tablet method provides robust data, more widely available mobile technology platforms exist. NEW

METHOD:

We introduce a novel adaptation of the Wacom-based method for the collection of hand-drawn kinematic data using an Apple iPad. This iPad-based system is stand-alone, easy-to-use, can capture drawing data with either a finger or capacitive stylus, is precise, and potentially ubiquitous.

RESULTS:

The iPad-based system acquires position and time data that is fully compatible with our original spiral analysis program. All of the important indices including degree of severity, speed, presence of tremor, tremor amplitude, tremor frequency, variability of pressure, and tightness are calculated from the digital spiral data, which the application is able to transmit. COMPARISON WITH EXISTING

METHOD:

While the iPad method is limited by current touch screen technology, it does collect data with acceptable congruence compared to the current Wacom-based method while providing the advantages of accessibility and ease of use.

CONCLUSIONS:

The iPad is capable of capturing precise digital spiral data for analysis of motor dysfunction while also providing a convenient, easy-to-use modality in clinics and potentially at home.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico por Computador / Computadores de Mão / Mãos / Destreza Motora / Transtornos dos Movimentos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Humans / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico por Computador / Computadores de Mão / Mãos / Destreza Motora / Transtornos dos Movimentos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Humans / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article