Prospective Evaluation of Innovative Force Assessing Firmware in Simulation to Improve the Technical Competence of Surgical Trainees

Rajamani, A.; Rammohan, Ashwin; Mohan, Sasikala; Srinivasan, Padmini; Arthanari, Shanmugam; Muthusamy, U.M.; Sivasubramanian, Vijayanand; Palaniappan, Ravichandran

doi:10.1007/s00268-015-3315-y

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…Since the measured analog value and the real pressure value are approximately linear after the amplifier, which will be described later. During calibration, a known force is directly put on the sensor and the resistance output of the sensor is linear with the force [ 27 ]. Therefore, the electrical output of the sensor is related to the actual force, improving the accuracy of the data.…”

Section: Methodsmentioning

confidence: 99%

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests

Xie

Zhang

Zhou

et al. 2020

Sensors

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Secure grasping of fragile fruits and other agricultural products without potential slip and damage is still a challenge due to the size and shape varying, bruise susceptible, as well as hardness changing during fruit and vegetable maturation. In the robotic grasping process, the mechanical damage mainly depends upon the aggressiveness of the gripper and the sensitivity of the product to the damage. In this study, a flexible gripper integrated with multi-sensor network is designed and tested. The network proposed includes three kinds of sensors that enable the gripper to grasp various products with the sense of touch and visual perception. Particular attention has been attached to the sensors applied between the fingers, and this makes sensing and grasping capabilities improved. To create an accurate grasping system, a grasping algorithm and the force control model are proposed for any bending state based on Cosserat theory. The boundary detection is included in the grasping algorithm, detecting the shape edge by some certain point calculation. The created grasping system guarantees mechanical compliance by evaluating and adjusting the finger status including force, angle, and direction. Multi-group tests have been done on grasping several objects of different sizes and materials in daily life. The relationship between force, bending, and surface material is also analyzed and compared under different conditions. The numerical comparisons related to the measurement error are analyzed based on their standard deviations. Experimental results indicate that this flexible manipulator with proposed system and strategy has better grasping ability for fragile fruits with its good flexibility and dexterity.

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Section: Methodsmentioning

confidence: 99%

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests

Xie

Zhang

Zhou

et al. 2020

Sensors

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show abstract

“…Conductive Zebra fabric (HITEK) sensor exerts haptic control and sensing in [32] while piezoresistive EeonTex LG-SPLA fabric, IMU unit (MTi-3, XSens, Netherlands) were utilized for gait detection [28] and Phantom haptic Device and four 3D cameras (3 Kinect v1 and 1 Kinect v2) in [50]. The feedback exerted from a glove fabricated with a stack of 5 flex bend sensors plays a vital role [55] and pancreas model-based force sensing calibration was introduced in [56]. Finger flexion and thumb abduction motions were studied with the actuation from soft pneumatic actuators enhancing the vibrotactile feedback [57].…”

Section: Haptic Feedbackmentioning

confidence: 99%

Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

et al. 2023

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Dexterity training helps improve our motor skills while engaging in precision tasks such as surgery in the medical field and playing musical instruments. In addition, post-stroke recovery also requires extensive dexterity training to recover the original motor skills associated with the affected portion of the body. Recent years have seen a rise in the usage of soft-type actuators to perform such training, giving higher levels of comfort, compliance, portability, and adaptability. Their capabilities of performing high dexterity and safety enhancement make them specific biomedical applications and serve as a sensitive tools for physical interaction. The scope of this article discusses the soft actuator types, characterization, sensing, and control based on the interaction modes and the 5 most relevant articles that touch upon the skill improvement models and interfacing nature of the task and the precision it demands. This review attempts to report the latest developments that prioritize soft materials over hard interfaces for dexterity training and prospects of end-user satisfaction.

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“…Rapid elevations of IL-6 levels are noted in various inflammatory conditions including COVID-19 related cytokine storm. Direct correlations between serum levels of IL-6 and SARS-CoV-2 RNAaemia in severe disease suggest that blocking IL-6 or its receptors could potentially attenuate the dysfunctional immune response induced by the contagion[ 5 , 11 , 30 , 53 ]. Several therapeutic agents acting a various stages of the signalling pathway have been developed, these include inhibition of IL-6, inhibition of IL-6 receptors, and/or its postreceptor downstream signalling pathways (JAK/STAT)[ 3 , 5 , 8 , 41 , 52 ].…”

Section: Immunosuppressants and Coronavirus-19mentioning

confidence: 99%

Post-transplant immunosuppression and COVID-19: From a double whammy to a mixed blessing

Rammohan¹

2020

WJT

Self Cite

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The coronavirus pandemic (COVID-19) has had an unprecedented effect on various disease processes and their management. COVID-19 is likely to have a complex pathophysiological interplay with the post-transplant patients; one affecting the clinical course and outcome of the other. In the absence of validated data from trials, there is strong dependence on experience based on previous similar epidemics (SARS/MERS), and from consensus based on expert opinions. Despite the fact that our knowledge is rapidly evolving with time, there still is relatively limited objective data on the effect of COVID-19 on the human body. Numerous questions remain unanswered, one of which involves the management of immunosuppression in the post-transplant recipient during this contagion. The core tenet of which continues to be that of establishing an equipoise between infection and rejection. This review summarises the current knowledge on immune interactions of the virus, the immunomodulatory effects that may be at play, and its relation to the art of immunosuppression.

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Prospective Evaluation of Innovative Force Assessing Firmware in Simulation to Improve the Technical Competence of Surgical Trainees

Cited by 5 publications

References 14 publications

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests

Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

Post-transplant immunosuppression and COVID-19: From a double whammy to a mixed blessing

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