Supplemental Material for Effect of Haptic Feedback From Self-Touch on Limb Movement Coordination

2013 ◽  
Vol 39 (6) ◽  
pp. 1775-1785
Author(s):  
Julius Verrel ◽  
Nobuhiro Hagura ◽  
Ulman Lindenberger ◽  
Patrick Haggard

Author(s):  
Amre Eizad ◽  
Muhammad Raheel Afzal ◽  
Hosu Lee ◽  
Sung-Ki Lyu ◽  
Jungwon Yoon

2020 ◽  
Vol 81 ◽  
pp. 131-137
Author(s):  
Torsten Pohl ◽  
Torsten Brauner ◽  
Scott Wearing ◽  
Thomas Horstmann

Author(s):  
Karl M. Newell ◽  
Gareth Irwin

This paper examines the influence of task and skill level constraints on the generality of proximal–distal control for within-limb movement coordination. Analysis and synthesis of the experimental findings leads to the proposition that proximal–distal is one of several within-limb patterns of coordination, including: the reverse distal–proximal sequence, simultaneous activation of segments, and other sequence variations of this. The probability of particular patterns occurring is induced by task constraints and skill level of the individual, together with their evolving biomechanical consequences, including: open/closed chain, absorption/propulsion of force, magnitude of momentum, and accuracy/timing. We develop the theoretical perspective that classes of task constraints induce particular types of neuromechanical organization to within-arm or within-leg segment coordination. In this task constraint framework, proximal–distal within-limb organization is a particular rather than a general case for within-limb coordination. The limitations of anatomically-based accounts of directional change for within-limb organization are discussed with reference to a general functional degrees of freedom task constraint framework for movement coordination and control.


2014 ◽  
Vol 71 (11) ◽  
pp. 671-678
Author(s):  
Ramin Khatami

Das Spektrum der schlafmedizinischen Erkrankungen umfasst eine Reihe von speziellen neurologischen Erkrankungen, die sich durch eine hohe Prävalenz kennzeichnen oder die Lebensqualität stark beeinträchtigen. Dem praktisch tätigen Arzt kommt eine Schlüsselrolle in der Erkennung und Behandlung dieser Erkrankungen zu und sollte deshalb mit den wichtigsten schlafmedizinischen neurologischen Erkrankungen vertraut sein. Im Folgenden werden als wichtigste Vertreter, das Restless Legs Syndrom (mit oder ohne Periodic Limb Movement im Schlaf), Bewegungsstörungen im Schlaf (v. a. nonREM- und REM-Schlaf-Parasomnien), epileptische Anfälle im Schlaf sowie die Narkolepsie vorgestellt. Die Narkolepsie gilt zwar als seltene Erkrankung, ermöglicht aber als Modellerkrankung physiologische bzw. pathophysiologische Vorgänge der Schlaf-/Wachregulation zu verstehen. Eine zunehmende Bedeutung gewinnt auch die REM-Schlafverhaltensstörung, die als Frühzeichen einer neurodegenerativen Erkrankung (z. B. Synukleinopathien wie Parkinson-Erkrankung) auftreten kann. Eine frühzeitige Diagnose eröffnet hier die Möglichkeit in Zukunft neuroprotektive Substanzen einzusetzen.


Schlaf ◽  
2012 ◽  
Vol 01 (01) ◽  
pp. 9-13
Author(s):  
Samia Little Elk

Die Komorbidität von Depression und Schlafstörungen ist hoch. Dabei kann die Klärung, welche Störung der anderen vorausgegangen ist, bzw. der Ausschluss einer organischen Ursache, für die weitere Behandlung von großer Wichtigkeit sein. Als besonders häufige körperliche Ursache für Schlafstörungen, die wiederum eine depressive Symptomatik bedingen können, kommt dem Periodic-Limb-Movement-, dem Restless-Legs- sowie dem obstruktiven Schlafapnoesyndrom eine besondere Bedeutung zu. Eine ausführliche Medikamenten- und Alkoholanamnese kann Hinweise auf eine substanzinduzierte Insomnie geben. Schlafanstoßende Antidepressiva können neben verhaltenstherapeutischen Maßnahmen einen positiven Effekt auf die affektive Störung wie auch die Insomnie haben.


The features of prototyping the movement kinematic of human extremities during in the implementation of demonstration robots based on a hinged three-link are considered. Keywords demonstration robot; three-link manipulator; trajectory of movement; coordination of robot arm movements


2018 ◽  
Author(s):  
Hellen van Rees ◽  
◽  
Angelika Mader ◽  
Merlijn Smits ◽  
Geke Ludden ◽  
...  

Author(s):  
E. Willuth ◽  
S. F. Hardon ◽  
F. Lang ◽  
C. M. Haney ◽  
E. A. Felinska ◽  
...  

Abstract Background Robotic-assisted surgery (RAS) potentially reduces workload and shortens the surgical learning curve compared to conventional laparoscopy (CL). The present study aimed to compare robotic-assisted cholecystectomy (RAC) to laparoscopic cholecystectomy (LC) in the initial learning phase for novices. Methods In a randomized crossover study, medical students (n = 40) in their clinical years performed both LC and RAC on a cadaveric porcine model. After standardized instructions and basic skill training, group 1 started with RAC and then performed LC, while group 2 started with LC and then performed RAC. The primary endpoint was surgical performance measured with Objective Structured Assessment of Technical Skills (OSATS) score, secondary endpoints included operating time, complications (liver damage, gallbladder perforations, vessel damage), force applied to tissue, and subjective workload assessment. Results Surgical performance was better for RAC than for LC for total OSATS (RAC = 77.4 ± 7.9 vs. LC = 73.8 ± 9.4; p = 0.025, global OSATS (RAC = 27.2 ± 1.0 vs. LC = 26.5 ± 1.6; p = 0.012, and task specific OSATS score (RAC = 50.5 ± 7.5 vs. LC = 47.1 ± 8.5; p = 0.037). There were less complications with RAC than with LC (10 (25.6%) vs. 26 (65.0%), p = 0.006) but no difference in operating times (RAC = 77.0 ± 15.3 vs. LC = 75.5 ± 15.3 min; p = 0.517). Force applied to tissue was similar. Students found RAC less physical demanding and less frustrating than LC. Conclusions Novices performed their first cholecystectomies with better performance and less complications with RAS than with CL, while operating time showed no differences. Students perceived less subjective workload for RAS than for CL. Unlike our expectations, the lack of haptic feedback on the robotic system did not lead to higher force application during RAC than LC and did not increase tissue damage. These results show potential advantages for RAS over CL for surgical novices while performing their first RAC and LC using an ex vivo cadaveric porcine model. Registration number researchregistry6029 Graphic abstract


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Maximilian Neidhardt ◽  
Nils Gessert ◽  
Tobias Gosau ◽  
Julia Kemmling ◽  
Susanne Feldhaus ◽  
...  

AbstractMinimally invasive robotic surgery offer benefits such as reduced physical trauma, faster recovery and lesser pain for the patient. For these procedures, visual and haptic feedback to the surgeon is crucial when operating surgical tools without line-of-sight with a robot. External force sensors are biased by friction at the tool shaft and thereby cannot estimate forces between tool tip and tissue. As an alternative, vision-based force estimation was proposed. Here, interaction forces are directly learned from deformation observed by an external imaging system. Recently, an approach based on optical coherence tomography and deep learning has shown promising results. However, most experiments are performed on ex-vivo tissue. In this work, we demonstrate that models trained on dead tissue do not perform well in in vivo data. We performed multiple experiments on a human tumor xenograft mouse model, both on in vivo, perfused tissue and dead tissue. We compared two deep learning models in different training scenarios. Training on perfused, in vivo data improved model performance by 24% for in vivo force estimation.


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