scholarly journals Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task

Author(s):  
Brandon Oubre ◽  
Jean-Francois Daneault ◽  
Hee-Tae Jung ◽  
Kallie Whritenour ◽  
Jose Garcia Vivas Miranda ◽  
...  
2015 ◽  
Vol 772 ◽  
pp. 329-333
Author(s):  
Ali Soroush ◽  
Farzam Farahmand

The aim of this study was to determine the workspace of surgeon's body for designing more efficient surgical robots in the operation rooms. Five wearable inertial sensors were placed near the wrist and elbow joints and also on the thorax of surgeons to track the orientation of upper limb. Assuming that the lengths of five segments of an upper limb were known, measurements of the inertial sensors were used to determine the position of the wrist and elbow joints via an established kinematic model. subsequently, to assess the workspace of surgeon upper body, raw data were collected in the arthroscopy and laparoscopy operations. Experimental results demonstrated that the workspaces of surgeon's joints are limited and predefined. The results can be used for designing surgical robots and surgeon body supports.


2008 ◽  
Vol 30 (1) ◽  
pp. 123-133 ◽  
Author(s):  
Huiyu Zhou ◽  
Thomas Stone ◽  
Huosheng Hu ◽  
Nigel Harris

Author(s):  
Santiago Ezquerro ◽  
Juan A. Barios ◽  
Arturo Bertomeu-Motos ◽  
Jorge Diez ◽  
Jose M. Sanchez-Aparicio ◽  
...  

2006 ◽  
Vol 1 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Huiyu Zhou ◽  
Huosheng Hu ◽  
Nigel D Harris ◽  
Jackie Hammerton

Author(s):  
Bridee A. Neibling ◽  
Sarah M. Jackson ◽  
Kathryn S. Hayward ◽  
Ruth N. Barker

Abstract Background Technology is being increasingly investigated as an option to allow stroke survivors to exploit their full potential for recovery by facilitating home-based upper limb practice. This review seeks to explore the factors that influence perseverance with technology-facilitated home-based upper limb practice after stroke. Methods A systematic mixed studies review with sequential exploratory synthesis was undertaken. Studies investigating adult stroke survivors with upper limb disability undertaking technology-facilitated home-based upper limb practice administered ≥ 3 times/week over a period of ≥ 4 weeks were included. Qualitative outcomes were stroke survivors’ and family members’ perceptions of their experience utilising technology to facilitate home-based upper limb practice. Quantitative outcomes were adherence and dropouts, as surrogate measures of perseverance. The Mixed Methods Appraisal Tool was used to assess quality of included studies. Results Forty-two studies were included. Six studies were qualitative and of high quality; 28 studies were quantitative and eight were mixed methods studies, all moderate to low quality. A conceptual framework of perseverance with three stages was formed: (1) getting in the game; (2) sticking with it, and; (3) continuing or moving on. Conditions perceived to influence perseverance, and factors mediating these conditions were identified at each stage. Adherence with prescribed dose ranged from 13 to 140%. Participants were found to be less likely to adhere when prescribed sessions were more frequent (6–7 days/week) or of longer duration (≥ 12 weeks). Conclusion From the mixed methods findings, we propose a framework for perseverance with technology-facilitated home-based upper limb practice. The framework offers opportunities for clinicians and researchers to design strategies targeting factors that influence perseverance with practice, in both the clinical prescription of practice and technology design. To confirm the clinical utility of this framework, further research is required to explore perseverance and the factors influencing perseverance. Registration: PROSPERO CRD42017072799—https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=72799


2021 ◽  
Vol 29 ◽  
pp. S182-S183
Author(s):  
D. Kobsar ◽  
Z. Masood ◽  
H. Khan ◽  
N. Khalil ◽  
M. Kiwan ◽  
...  

2016 ◽  
Vol 10 ◽  
pp. 187-191 ◽  
Author(s):  
Massimiliano Pau ◽  
Silvia Caggiari ◽  
Alessandro Mura ◽  
Federica Corona ◽  
Bruno Leban ◽  
...  

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