Rob-in heart (a surgeon without hand tremor)

2013 ◽  
Author(s):  
P.G. Biradar ◽  
S.M. Rekha
Keyword(s):  
Hand Tremor

scholarly journals A mobile app for tracking non-motor symptoms of people with Parkinson’s disease: A usability study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 890-890
Author(s):  
JuHee Lee ◽  
Yujin Suh ◽  
Yielin Kim
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Tracking System ◽  
Smart Phone ◽  
Telephone Counseling ◽  
Mobile App ◽  
Motor Symptoms ◽  
Hand Tremor ◽  
Non Motor Symptoms

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.

scholarly journals The variation of hand tremor with force in healthy subjects

1967 ◽  
Vol 191 (3) ◽  
pp. 699-711 ◽  
Author(s):  
G. G. Sutton ◽  
K. Sykes
Keyword(s):  
Healthy Subjects ◽  
Hand Tremor

Family history of hand tremor in patients with early Parkinson’s disease

2021 ◽  
Vol 90 ◽  
pp. 161-164
Author(s):  
Seong-Min Choi ◽  
Soo Hyun Cho ◽  
Kyung Wook Kang ◽  
Jae-Myung Kim ◽  
Byeong C. Kim
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Family History ◽  
Hand Tremor ◽  
History Of ◽  
Early Parkinson’S Disease

Wireless accelerometer configuration for monitoring Parkinson’s disease hand tremor

2013 ◽  
Vol 02 (02) ◽  
pp. 62-67 ◽  
Author(s):  
Robert LeMoyne ◽  
Timothy Mastroianni ◽  
Warren Grundfest
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Hand Tremor ◽  
Wireless Accelerometer

A new method for evaluating postural hand tremor based on CMOS camera

Optik ◽  
2015 ◽  
Vol 126 (5) ◽  
pp. 507-512 ◽  
Author(s):  
Ling-lin Xia ◽  
Bing Zou ◽  
Hao Liu ◽  
Hai Su ◽  
Huang Qianghui
Keyword(s):  
New Method ◽  
Cmos Camera ◽  
Hand Tremor

scholarly journals Nonlinear Force Feedback Enhancement for Cooperative Robotic Neurosurgery Enforces Virtual Boundaries on Cortex Surface

2016 ◽  
Vol 01 (02) ◽  
pp. 1650001 ◽  
Author(s):  
Elisa Beretta ◽  
Giancarlo Ferrigno ◽  
Elena De Momi
Keyword(s):  
Soft Tissues ◽  
Force Feedback ◽  
System Stability ◽  
Hand Tremor ◽  
Nonlinear Force ◽  
Feedback Enhancement ◽  
Safety Features ◽  
Robotic Neurosurgery ◽  
Robotic Assistant ◽  
Future Work

Surgeons can benefit from the cooperation with a robotic assistant during the repetitive execution of precise targeting tasks on soft tissues, such as brain cortex stimulation procedures in open-skull neurosurgery. Position-based force-to-motion control schemes may not be satisfactory solution to provide the manipulator with the high compliance desirable during guidance along wide trajectories. A new torque controller with nonlinear force feedback enhancement (FFE) is presented to provide augmented haptic perception to the operator from instrument-tissue interaction. Simulation tests were performed to evaluate the system stability according to different nonlinear force modulation functions (power, sigmoidal and arc tangent). The FFE controller with power modulation was experimentally validated with a pool of nonexpert users using brain-mimicking gelatin phantoms (8–16% concentration). Besides providing hand tremor rejection for a stable holding of the tool, the FFE controller was proven to allow for a safer tissue contact with respect to both robotic assistance without force feedback and freehand executions (50% and 75% reduction of the indentation depth, respectively). Future work will address the evaluation of the safety features of the FFE controller with expert surgeons on a realistic brain phantom, also accounting for unpredictable tissue motions as during seizures due to cortex stimulation.

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