scholarly journals Hand Tremor Questionnaire: A Useful Screening Tool for Differentiating Patients with Hand Tremor between Parkinson's Disease and Essential Tremor

2018 ◽  
Vol 14 (3) ◽  
pp. 381
Author(s):  
Kyum-Yil Kwon ◽  
Ho-Sung Ryu ◽  
Hye Mi Lee ◽  
Mi-Jung Kim ◽  
Hae-Won Shin ◽  
...  
2018 ◽  
Author(s):  
Warwick R. Adams

AbstractParkinson’s Disease (PD) is a neurodegenerative movement disease affecting over 6 million people worldwide. Current diagnosis is based on clinical and observational criteria only, resulting in a high misdiagnosis rate. Approximately 75% of people with PD have hand tremor, which can precede clinical diagnosis by up to 6 years. Previous studies have shown that early PD can be accurately detected from keystroke features while typing, and this study investigated whether tremor can be detected as well. Typing data from 76 subjects, with and without PD, including 27 with PD and 15 with tremor, was analysed and showed that hand tremor in PD can be detected from keystroke features. This novel technique has not been used before and was able to achieve an overall sensitivity of 67% and a specificity of 80% and was also able to differentiate PD tremor from essential tremor. This means that the diagnosis of early PD through typing can achieve the clinical requirement of at least two cardinal features being present (bradykinesia and tremor). Less than half a page of typing is needed, the technique does not require any specialised equipment, and can take place in the patient’s home as they type normally on a computer.


2021 ◽  
Author(s):  
Natalia Pelizari Novaes ◽  
Joana Bisol Balardin ◽  
Fabiana Campos Hirata ◽  
Luciano Melo ◽  
Edson Amaro ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 890-890
Author(s):  
JuHee Lee ◽  
Yujin Suh ◽  
Yielin Kim

Abstract Smart phone-based technology for people with Parkinson’s disease has been developed worldwide. Unmonitored non-motor symptoms decrease quality of life of people with Parkinson’s disease, so the needs for technology to manage non-motor symptoms are increasing. The technology is needed to detect subtle changes in non-motor symptoms by healthcare professional. There is no mobile app which manage comprehensive symptoms of Parkinson’s disease including non-motor symptoms. It is necessary to develop a new tracking system that can effectively manage non-motor symptoms as well as motor symptoms of Parkinson’s disease. We developed a prototype of mobile app for Android smartphones, with cooperation with Mazelone company. we also have shaped functions for monitoring of motor symptoms and medication adherence. It also provided a section for caregivers to use on behalf of people with Parkinson’s disease who have difficulty to use app due to hand tremor. Through Delphi technique, we obtained content validity from eight medical and nursing experts on the contents of the application. We provided regular telephone counseling to improve and encourage their app usage. Fifteen participants used the app for 6 weeks. To evaluate usability of mobile app, we provided constructed questionnaire and conducted individual telephone interview. A mobile app for tracking non-motor symptoms demonstrated high usability and satisfaction. We learned lessons about facilitators and barriers when implementing an app such as perception and acceptance of mobile technology. The mobile app will improve continuum of care. Future studies need to improve the contents and refine technical approach for people with Parkinson’s disease.


2021 ◽  
Author(s):  
Kilian Hett ◽  
Ilwoo Lyu ◽  
Paula Trujillo ◽  
Alexander M. Lopez ◽  
Megan Aumann ◽  
...  

Author(s):  
Richard A. Rammo ◽  
Sarah J. Ozinga ◽  
Alexandra White ◽  
Sean J. Nagel ◽  
Andre G. Machado ◽  
...  

2020 ◽  
pp. 1-1
Author(s):  
Ekaterina Kovalenko ◽  
Aleksandr Talitckii ◽  
Anna Anikina ◽  
Aleksei Shcherbak ◽  
Olga Zimniakova ◽  
...  

2014 ◽  
Vol 115 (3) ◽  
pp. 289-294 ◽  
Author(s):  
Yildizhan Sengul ◽  
Hakan S. Sengul ◽  
Müge Kocak Sural ◽  
Bahadir Bakim ◽  
Hulki Forta

2011 ◽  
Vol 129 (6) ◽  
pp. 611-615 ◽  
Author(s):  
Yi-Wen Wu ◽  
K. M. Prakash ◽  
Tian-Yi Rong ◽  
Hui-Hua Li ◽  
Qin Xiao ◽  
...  

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