The Experts below are selected from a list of 51312 Experts worldwide ranked by ideXlab platform
Malcolm Xing - One of the best experts on this subject based on the ideXlab platform.
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hydrogels from natural egg white with extraordinary stretchability direct writing 3d printability and self healing for fabrication of Electronic Sensors and actuators
Journal of Materials Chemistry, 2019Co-Authors: Yunfan He, Kibret Mequanin, Mohammad Ali Darabi, Bingyun Li, Feng Lu, Qiang Chang, Wen Zhong, Malcolm XingAbstract:Electronic Sensors mimicking the function of human skin are promising for the next generation of bionic skin. In this paper, we present a facile and novel approach to prepare an Electronic Sensor using a physically crosslinked protein hydrogel from egg white with the capability of incorporating conductive nanomaterials. The current strategy led to the formation of extraordinarily stretchable hydrogels in which their shear-thinning and self-healing properties further enabled direct ink writing 3D printing at room temperature, providing novel insights into the bioSensor fabrication process. Furthermore, we enhanced the mechanical properties of these hydrogels by introducing secondary physical crosslinking to better resemble human skin. For Electronic skin demonstration, a directly 3D printed Sensor (EW–CNT Sensor) was fabricated with embedding of carbon nanotubes and utilized to capture the delicate wrist pulse, distant reflection of index finger flexion, and respiration as well as vigorous finger bending. Notably, the radial augmentation index and stiffness index of the cardiovascular system could be clearly revealed by the EW–CNT Sensor recording. Moreover, the EW hydrogel can be used to fabricate a reversible humidity actuator through a porous gradient architecture. The advantages of the current hydrogel platform including low cost, easy handling, and ease of fabrication for scale-up may open new horizons in the field of epidermal Sensors and actuators.
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Hydrogels from natural egg white with extraordinary stretchability, direct-writing 3D printability and self-healing for fabrication of Electronic Sensors and actuators
Journal of Materials Chemistry A, 2019Co-Authors: Qiang Chang, Kibret Mequanin, Mohammad Ali Darabi, Wen Zhong, Yuqing Liu, Malcolm XingAbstract:An alkali-induced egg white hydrogel achieved ultra-stretchability, self-healing and direct 3D printability for highly sensitive Electronic Sensor and humidity-responsive actuator fabrication.
Qiang Chang - One of the best experts on this subject based on the ideXlab platform.
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hydrogels from natural egg white with extraordinary stretchability direct writing 3d printability and self healing for fabrication of Electronic Sensors and actuators
Journal of Materials Chemistry, 2019Co-Authors: Yunfan He, Kibret Mequanin, Mohammad Ali Darabi, Bingyun Li, Feng Lu, Qiang Chang, Wen Zhong, Malcolm XingAbstract:Electronic Sensors mimicking the function of human skin are promising for the next generation of bionic skin. In this paper, we present a facile and novel approach to prepare an Electronic Sensor using a physically crosslinked protein hydrogel from egg white with the capability of incorporating conductive nanomaterials. The current strategy led to the formation of extraordinarily stretchable hydrogels in which their shear-thinning and self-healing properties further enabled direct ink writing 3D printing at room temperature, providing novel insights into the bioSensor fabrication process. Furthermore, we enhanced the mechanical properties of these hydrogels by introducing secondary physical crosslinking to better resemble human skin. For Electronic skin demonstration, a directly 3D printed Sensor (EW–CNT Sensor) was fabricated with embedding of carbon nanotubes and utilized to capture the delicate wrist pulse, distant reflection of index finger flexion, and respiration as well as vigorous finger bending. Notably, the radial augmentation index and stiffness index of the cardiovascular system could be clearly revealed by the EW–CNT Sensor recording. Moreover, the EW hydrogel can be used to fabricate a reversible humidity actuator through a porous gradient architecture. The advantages of the current hydrogel platform including low cost, easy handling, and ease of fabrication for scale-up may open new horizons in the field of epidermal Sensors and actuators.
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Hydrogels from natural egg white with extraordinary stretchability, direct-writing 3D printability and self-healing for fabrication of Electronic Sensors and actuators
Journal of Materials Chemistry A, 2019Co-Authors: Qiang Chang, Kibret Mequanin, Mohammad Ali Darabi, Wen Zhong, Yuqing Liu, Malcolm XingAbstract:An alkali-induced egg white hydrogel achieved ultra-stretchability, self-healing and direct 3D printability for highly sensitive Electronic Sensor and humidity-responsive actuator fabrication.
Mohammad Ali Darabi - One of the best experts on this subject based on the ideXlab platform.
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hydrogels from natural egg white with extraordinary stretchability direct writing 3d printability and self healing for fabrication of Electronic Sensors and actuators
Journal of Materials Chemistry, 2019Co-Authors: Yunfan He, Kibret Mequanin, Mohammad Ali Darabi, Bingyun Li, Feng Lu, Qiang Chang, Wen Zhong, Malcolm XingAbstract:Electronic Sensors mimicking the function of human skin are promising for the next generation of bionic skin. In this paper, we present a facile and novel approach to prepare an Electronic Sensor using a physically crosslinked protein hydrogel from egg white with the capability of incorporating conductive nanomaterials. The current strategy led to the formation of extraordinarily stretchable hydrogels in which their shear-thinning and self-healing properties further enabled direct ink writing 3D printing at room temperature, providing novel insights into the bioSensor fabrication process. Furthermore, we enhanced the mechanical properties of these hydrogels by introducing secondary physical crosslinking to better resemble human skin. For Electronic skin demonstration, a directly 3D printed Sensor (EW–CNT Sensor) was fabricated with embedding of carbon nanotubes and utilized to capture the delicate wrist pulse, distant reflection of index finger flexion, and respiration as well as vigorous finger bending. Notably, the radial augmentation index and stiffness index of the cardiovascular system could be clearly revealed by the EW–CNT Sensor recording. Moreover, the EW hydrogel can be used to fabricate a reversible humidity actuator through a porous gradient architecture. The advantages of the current hydrogel platform including low cost, easy handling, and ease of fabrication for scale-up may open new horizons in the field of epidermal Sensors and actuators.
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Hydrogels from natural egg white with extraordinary stretchability, direct-writing 3D printability and self-healing for fabrication of Electronic Sensors and actuators
Journal of Materials Chemistry A, 2019Co-Authors: Qiang Chang, Kibret Mequanin, Mohammad Ali Darabi, Wen Zhong, Yuqing Liu, Malcolm XingAbstract:An alkali-induced egg white hydrogel achieved ultra-stretchability, self-healing and direct 3D printability for highly sensitive Electronic Sensor and humidity-responsive actuator fabrication.
Jeffrey A. Geller - One of the best experts on this subject based on the ideXlab platform.
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The Learning Curve by Operative Time for Soft Tissue Balancing in Total Knee Arthroplasty Using Electronic Sensor Technology.
The Journal of arthroplasty, 2018Co-Authors: Akshay Lakra, Nana O. Sarpong, Emma L. Jennings, Matthew J. Grosso, H. John Cooper, Roshan P. Shah, Jeffrey A. GellerAbstract:Electronic Sensor devices can provide an objective assessment of soft tissue balancing in total knee arthroplasty (TKA) which may potentially decrease postoperative pain. We aim to quantify the learning curve for operative time (OT) for this technology. Consecutive TKA cases balanced with an Electronic Sensor balancing device by one senior surgeon from 2013 to 2017 were included in this study. The OT (in minutes) was analyzed using the cumulative sum analysis to evaluate the learning curve for this technology. Further analysis was done by splitting the 287 patients into 7 cohorts, 41 patients each. Two hundred eighty-seven patients balanced with Sensor technology were available for analysis. The cumulative sum OT learning curve estimated that this technology's learning curve was 41 cases. This curve consisted of 2 phases: phase 1 which includes the first 41 cases and phase 2 which includes the remaining 246 patients. The mean OT for the first and last Sensor-assisted cohorts was 120.4 and 108.9 minutes (P = .021). The mean OT for the first Sensor-assisted cohort and the control cohort was 120.4 versus 109 minutes (P = .023). The mean OT for the last Sensor-assisted cohort and the control cohort was 108.9 versus 109 minutes (P = .94). Our findings suggest that it takes approximately 41 cases of Sensor-assisted TKA cases to achieve OTs identical to manually balanced TKA cases. This is a relatively shallow learning curve for the Sensor technology, and allows arthroplasty surgeons to objectively achieve soft tissue balancing without adding OT to the surgery. Copyright © 2018 Elsevier Inc. All rights reserved.
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The Use of Electronic Sensor Device to Augment Ligament Balancing Leads to a Lower Rate of Arthrofibrosis After Total Knee Arthroplasty
The Journal of arthroplasty, 2016Co-Authors: Jeffrey A. Geller, Akshay Lakra, Taylor MurtaughAbstract:Total knee arthroplasty (TKA) is a highly successful surgery shown to improve quality of life. One of the more common known complications of TKA is early arthrofibrosis requiring manipulation under anesthesia (MUA). This investigation evaluates the incidence of arthrofibrosis before and after the implementation of an Electronic Sensor device used to assist with ligament balancing. Six hundred ninety TKAs performed without Sensor use were compared to a cohort of 252 TKAs performed with Sensor usage. Prior to usage, there was a 5% rate of MUA after TKA, while after implementation, the MUA rate went down to 1.6% (P = .004). Ligament balancing using Sensor assistance led to a statistically significant decrease in MUA in this cohort of patients. An odds ratio analysis also demonstrated that non-Sensor patients had a 3.2× higher likelihood of requiring MUA than the Sensor patients. The use of an Electronic Sensor device during trialing of TKA with resultant improved ligamentous balancing led to a statistically significant reduction in the rate of MUA in this cohort of patients. This type of approach to ligamentous balancing may continue to show evidence of improved clinical outcomes. Copyright © 2016 Elsevier Inc. All rights reserved.
Freimut Bodendorf - One of the best experts on this subject based on the ideXlab platform.
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AMCIS - Towards a Medical Tricorder: Defining medical conditions for consumer self-care with focus on non-invasive technologies
2017Co-Authors: Andreas Hamper, Lucas Neitzel, Nilmini Wickramasinghe, Isabella Eigner, Freimut BodendorfAbstract:Health and fitness applications, fitness trackers and wearables show particularly high, sustained demand among private consumers. Highly efficient and cost-effective digital consumer Electronic Sensor technologies can also be used for medical purposes. Non-invasive technologies offer capabilities in the detection, measurement, and analysis of medical conditions carried out by private consumers. This paper investigates the technological readiness of consumer Electronics for the measurement of vital signs, cardiovascular / metabolic and infectious diseases and shows how these technologies can promote self-care of consumers. We propose a 3-dimensional framework which characterizes diseases according to their burden of disease, their potential for self-care and the readiness of enabling technologies in consumer devices. With the evaluation of current technologies we show that a growing number of medical conditions, especially lifestyle-related cardiovascular diseases, can be identified and monitored easily, precisely and non-invasively by consumers. Consumer Electronic technologies can no longer be seen only as a complementary element besides professional medical procedures but are increasingly able to provide medical diagnoses and monitor diseases without medical examination. Based on a 3D-self-care framework we propose strategies for three target groups: Consumers should focus on lifestyle-related diseases, healthcare payers should focus on research funding for technologies addressing high burden diseases and technology developers should focus on diseases that can be supported by close-to-market technology.
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towards a medical tricorder defining medical conditions for consumer self care with focus on non invasive technologies
Americas Conference on Information Systems, 2017Co-Authors: Andreas Hamper, Lucas Neitzel, Nilmini Wickramasinghe, Isabella Eigner, Freimut BodendorfAbstract:Health and fitness applications, fitness trackers and wearables show particularly high, sustained demand among private consumers. Highly efficient and cost-effective digital consumer Electronic Sensor technologies can also be used for medical purposes. Non-invasive technologies offer capabilities in the detection, measurement, and analysis of medical conditions carried out by private consumers. This paper investigates the technological readiness of consumer Electronics for the measurement of vital signs, cardiovascular / metabolic and infectious diseases and shows how these technologies can promote self-care of consumers. We propose a 3-dimensional framework which characterizes diseases according to their burden of disease, their potential for self-care and the readiness of enabling technologies in consumer devices. With the evaluation of current technologies we show that a growing number of medical conditions, especially lifestyle-related cardiovascular diseases, can be identified and monitored easily, precisely and non-invasively by consumers. Consumer Electronic technologies can no longer be seen only as a complementary element besides professional medical procedures but are increasingly able to provide medical diagnoses and monitor diseases without medical examination. Based on a 3D-self-care framework we propose strategies for three target groups: Consumers should focus on lifestyle-related diseases, healthcare payers should focus on research funding for technologies addressing high burden diseases and technology developers should focus on diseases that can be supported by close-to-market technology.