Dataset of quantitative structured office measurements of movements in the extremities
Timothy P. Harrigan,
Brian J. Hwang,
Anil K. Mathur,
Kelly A. Mills,
Alexander Y. Pantelyat,
Jee A. Bang,
Alveena B. Syed,
Pankhuri Vyas,
Samuel D. Martin,
Armaan Jamal,
Liran Ziegelman,
Manuel E. Hernandez,
Dean F. Wong,
James Robert Brašić
Affiliations
Timothy P. Harrigan
Research and Exploratory Development, Applied Physics Laboratory, The Johns Hopkins University, Laurel, MD, United States; Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Brian J. Hwang
Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Anil K. Mathur
Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Kelly A. Mills
Neuromodulation and Advanced Therapies Clinic, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Alexander Y. Pantelyat
Atypical Parkinsonism Center, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Jee A. Bang
Johns Hopkins Huntington Center of Excellence, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Alveena B. Syed
Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Pankhuri Vyas
Department of Otolaryngology-Head and Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Samuel D. Martin
Krieger School of Arts and Sciences, The Johns Hopkins University, Baltimore, MD, United States
Armaan Jamal
Krieger School of Arts and Sciences, The Johns Hopkins University, Baltimore, MD, United States
Liran Ziegelman
Neuroscience Program, College of Liberal Arts and Sciences, University of Illinois at Champaign-Urbana, Champaign-Urbana, IL, United States
Manuel E. Hernandez
Neuroscience Program, College of Liberal Arts and Sciences, University of Illinois at Champaign-Urbana, Champaign-Urbana, IL, United States; Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Champaign-Urbana, Champaign-Urbana, IL, United States
Dean F. Wong
Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
James Robert Brašić
Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Corresponding author.
A low-cost quantitative structured office measurement of movements in the extremities of people with Parkinson's disease [1,2] was performed on people with Parkinson's disease, multiple system atrophy, and age-matched healthy volunteers. Participants underwent twelve videotaped procedures rated by a trained examiner while connected to four accelerometers [1,2] generating a trace of the three location dimensions expressed as spreadsheets [3,4]. The signals of the five repetitive motion items [1,2] underwent processing to fast Fourier [5] and continuous wavelet transforms [6]. The dataset [7] includes the coding form with scores of the live ratings [1,2], the raw files [3], the converted spreadsheets [4], and the fast Fourier [5] and continuous wavelet transforms [6]. All files are unfiltered.The data also provide findings suitable to compare and contrast with data obtained by investigators applying the same procedure to other populations. Since this is an inexpensive procedure to quantitatively measure motions in Parkinson's disease and other movement disorders, this will be a valuable resource to colleagues, particularly in underdeveloped regions with limited budgets. The dataset will serve as a template for other investigations to develop novel techniques to facilitate the diagnosis, monitoring, and treatment of Parkinson's disease, other movement disorders, and other nervous and mental conditions. The procedure will provide the basis to obtain objective quantitative measurements of participants in clinical trials of new agents.
