scholarly journals The detection of hand tremor through the characteristics of finger movement while typing

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.

2019 ◽  
Vol 32 (6) ◽  
pp. 395-400 ◽  
Author(s):  
Manuel S Perez Akly ◽  
Carla V Stefani ◽  
Lucía Ciancaglini ◽  
José S Bestoso ◽  
Jorge A Funes ◽  
...  

Purpose The use of susceptibility weighted imaging in high field magnetic resonance imaging scanners can detect the nigrosome-1 area located in the caudo-lateral region of the pars compacta in the substantia nigra. This structure comprises a significant amount of dopaminergic neurons and degenerates in the early stages of Parkinson’s disease. Essential tremor is a neurological condition that in some cases could be confused with the early stages of Parkinson’s disease with a possible error in clinical diagnosis. Our purpose is to evaluate the accuracy of nigrosome-1 detection by high resolution magnetic resonance imaging to discriminate Parkinson’s disease from essential tremor. Methods A case–control study compared patients with a clinical diagnosis of Parkinson’s disease and essential tremor. Magnetic resonance imaging studies were performed using a 3T magnetic resonance imaging scanner. The susceptibility weighted imaging sequence was obtained in the axial plane with an isotropic voxel of 0.75 mm. Two independent neuroradiologists evaluated the images without access to clinical patient data. Results Sixteen patients were included in each group (Parkinson’s disease and essential tremor). Average age: Parkinson’s disease group: 71.3 (SD 6.3) and essential tremor group: 68.3 (SD 12.3). For the first evaluator, the nigrosome-1 area was absent in 15 patients with Parkinson’s disease and in two with essential tremor and for the second evaluator was absent in 15 patients with Parkinson’s disease and four with essential tremor. The sensitivity/specificity for the diagnosis of Parkinson’s disease was 93.75%/87.5% for the first evaluator and 93.75%/75% for the second evaluator. Conclusion The detection of the nigrosome-1 area is a useful tool in the differential diagnosis between Parkinson’s disease and essential tremor, with high sensitivity and specificity.


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 ◽  
...  

2021 ◽  
pp. 1-5
Author(s):  
Jonathan R. Isaacson ◽  
Salima Brillman ◽  
Nisha Chhabria ◽  
Stuart H. Isaacson

Background: The diagnosis of Parkinson’s disease (PD) is primarily clinical, but in cases of diagnostic uncertainty, evaluation of nigrostriatal dopaminergic degeneration (NSDD) by imaging of the dopamine transporter using DaTscan with single-photon emission computed tomography (SPECT) brain imaging may be helpful. Objective/Methods: In the current paper, we describe clinical scenarios for which DaTscan imaging was used in a prospective case series of 201 consecutive patients in whom a movement disorder specialist ordered DaTscan imaging to clarify NSDD. We describe the impact of DaTscan results on changing or confirming pre-DaTscan clinical diagnosis and on post-DaTscan treatment changes. Results/Conclusion: DaTscan imaging can be useful in several clinical scenarios to determine if NSDD is present. These include in patients with early subtle symptoms, suboptimal response to levodopa, prominent action tremor, drug-induced parkinsonism, and in patients with lower extremity or other less common parkinsonism clinical presentations. We also found DaTscan imaging to be useful to determine underlying NSDD in patients with PD diagnosis for 3-5 years but without apparent clinical progression or development of motor fluctuations. Overall, in 201 consecutive patients with clinically questionable NSDD, DaTscan was abnormal in 58.7% of patients, normal in 37.8%, and inconclusive in 3.5%. DaTscan imaging changed clinical diagnosis in 39.8% of patients and led to medication therapy changes in 70.1% of patients.


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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document