Complex wrist motions are needed to complete various daily activities. Analyzing the multidimensional motion of the wrist is crucial for understanding our functional movement. Several studies have shown that numerous activities of daily livings (ADLs) are performed using an oblique plane of wrist motion from radial-extension to ulnar-flexion, named the Dart Throwing Motion (DTM) plane. To the best of our knowledge, the DTM plane angle performed during ADLs has not been compared between different heights (e.g. table, shoulder and head height), as is common when performing day-to-day tasks. In this study, we compared DTM plane angles when performing different ADLs at three different heights and examined the relationship between DTM plane angles and limb position. We found that height had a significant effect on the DTM plane angles - the mean DTM plane angle was greater at the lower level compared to the mid and higher levels. A significant effect of shoulder orientation on mean DTM plane angles was shown in the sagittal and coronal planes. Our findings support the importance of training daily tasks at different heights during rehabilitation following wrist injuries, in order to explore a large range of DTM angles, to accommodate needs of common ADLs.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/00222895.2019.1645638 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Estimated Airline Compliance With Predeparture SARS-CoV-2 Testing for Passengers on Flights to the United States, January 2021 to June 2022.
Health Secur
October 2024
Leigh Ellyn Preston, DrPH, MPH, and Deborah Christensen, PhD, RN, are Epidemiologists; Andre Berro, MPH, is a Health Scientist; Bukunmi Gesinde, MSPH, EdD, is a Quality Assurance Specialist; Arnold Vang, DrPH, MPH, MSPA, PA, is Deputy Branch Chief; Candice Gilliland, JD, MSFS, Kelly J. Epps, MPH, and James R. Cope, MPH, PhD, are Public Health Advisors; Erin Rothney, MPH, and Matt Palo, CPH, are Regional Officers in Charge; Clive Brown, MBBS, MPH, MSc, DTM&H, FRSPH, FASTMH, is Branch Chief; and Alida M. Gertz, MD, DrPH, MPH, MSc, DTM&H, is a Medical Officer; all at the US Centers for Disease Control and Prevention, Atlanta, GA. Andrew D. Klevos, PhD, MBA, MPH, is a Division Director, Department of Homeland Security, Washington, DC. Zoe D'Angelo is a Research Assistant, Evidence-Informed State Health Policy Institute, AcademyHealth, Brooklyn, NY. John Olmstead, MPH, and Emma Shearer, MPH, are Epidemiologists, Georgia Department of Public Health, Atlanta, GA; they were Fellows, Applied Epidemiology Fellowship Program, Council of State and Territorial Epidemiologists, Atlanta, GA. Bhavna Guduguntla, MD, is an Internal Medicine Resident, Washington University in St. Louis, St. Louis, MO; she was a CDC Epidemiology Elective Student and Medical Student, University of Michigan Medical School, Ann Arbor, MI. Josie Decherd, MPH, was a Graduate Student, CDC Student Work Experience Program, Texas A&M University, College Station TX.
In the early years of the COVID-19 pandemic, unprecedented public health measures were designed and implemented to mitigate the spread of SARS-CoV-2. On January 26, 2021, US Centers for Disease Control and Prevention (CDC) staff began daily audits of documents of arriving passengers at 18 US international ports of entry to ensure documentation of either a negative predeparture antigen or nucleic acid amplification test result for SARS-CoV-2 or recent recovery from COVID-19. This case study briefly describes the results of those audits.
View Article and Find Full Text PDFForage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery.
Sensors (Basel)
September 2024
Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada (AAFC), 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada.
Crop height and biomass are the two important phenotyping traits to screen forage population types at local and regional scales. This study aims to compare the performances of multispectral and RGB sensors onboard drones for quantitative retrievals of forage crop height and biomass at very high resolution. We acquired the unmanned aerial vehicle (UAV) multispectral images (MSIs) at 1.
View Article and Find Full Text PDFTracheotomy versus tracheostomy, the need for lexicographical clarification.
Acta Otorrinolaringol Esp (Engl Ed)
April 2024
Servicio de Otorrinolaringología, Hospital Universitario Virgen Macarena, Sevilla, Spain.
In the healthcare field, the terms "traqueotomía" and "traqueostomía" are frequently used, often leading to confusion among professionals regarding the appropriate definition for each term or which one should be considered more correct in specific cases. A search was conducted for the terms "traqueotomía" and "traqueostomía" in general Spanish-language dictionaries such as the Dictionary of the Royal Spanish Academy (DRAE) and the Historical Dictionary of the Spanish Language of the Royal Spanish Academy (DHLE), as well as for the English terms "tracheotomy" and "tracheostomy" in English general dictionaries like the Oxford Dictionary, the Cambridge Dictionary, and the Collins English Dictionary. Additionally, searches were performed in medical dictionaries in both Spanish, specifically the Dictionary of Medical Terms of the National Academy of Medicine (DTM), and English, including the Farlex Dictionary.
View Article and Find Full Text PDFGrowth Monitoring and Yield Estimation of Maize Plant Using Unmanned Aerial Vehicle (UAV) in a Hilly Region.
Sensors (Basel)
June 2023
Faculty of Science, Health and Technology, Nepal Open University, Manbhawan, Lalitpur, Nepal.
More than 66% of the Nepalese population has been actively dependent on agriculture for their day-to-day living. Maize is the largest cereal crop in Nepal, both in terms of production and cultivated area in the hilly and mountainous regions of Nepal. The traditional ground-based method for growth monitoring and yield estimation of maize plant is time consuming, especially when measuring large areas, and may not provide a comprehensive view of the entire crop.
View Article and Find Full Text PDFQuantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.
Radiology
August 2022
From the Division of Pulmonary, Critical Care, and Sleep Medicine, Rush University Medical Center, Chicago, Ill (A.P.T.); Division of Pulmonary and Critical Care Medicine, University of Kansas School of Medicine, Kansas City, KS 66103-2937 (C.H., M.C.); Division of Biostatistics (C.W.G., D.L., K.B.S.), Division of Pulmonary and Critical Care Medicine (J.G.K., M.C.M., M.S.), Washington University School of Medicine, St Louis, Mo; Department of Radiology, University of Iowa, Iowa City, Iowa (J.P.S., J.M.R., J.D.N., E.A.H.); Department of Medicine, University of Arizona, Tucson, Ariz (H.L., E.R.B., D.A.M.); VIDA Diagnostics, Coralville, Iowa (J.S., S.M., S.P.); Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, NC (W.C.M.); Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Mass (E.I., G.R.W., B.D.L.); Department of Radiology (J.K.L.) and Division of Pulmonary, Allergy and Critical Care Medicine (S.E.W.), University of Pittsburgh, Pittsburgh, Pa; Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, Calif (J.V.F.); Department of Radiology (M.L.S., S.B.F.) and Division of Allergy, Pulmonary and Critical Care Medicine (N.N.J.), University of Wisconsin, Madison, Wis; Department of Public Health Sciences, Penn State Eberly College of Science, University Park, Pa (D.T.M.); and Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Tex (A.S.).
Background Clustering key clinical characteristics of participants in the Severe Asthma Research Program (SARP), a large, multicenter prospective observational study of patients with asthma and healthy controls, has led to the identification of novel asthma phenotypes. Purpose To determine whether quantitative CT (qCT) could help distinguish between clinical asthma phenotypes. Materials and Methods A retrospective cross-sectional analysis was conducted with the use of qCT images (maximal bronchodilation at total lung capacity [TLC], or inspiration, and functional residual capacity [FRC], or expiration) from the cluster phenotypes of SARP participants (cluster 1: minimal disease; cluster 2: mild, reversible; cluster 3: obese asthma; cluster 4: severe, reversible; cluster 5: severe, irreversible) enrolled between September 2001 and December 2015.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!