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<title>Journal of Medical Devices</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/19055</link>
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<pubDate>Tue, 25 Aug 2026 11:18:50 GMT</pubDate>
<dc:date>2026-08-25T11:18:50Z</dc:date>
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<title>Journal of Medical Devices</title>
<url>https://localhost:443/yetl1/bitstream/id/184257/</url>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/19055</link>
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<title>Autofeelment: Design and Development of an Automated Monofilament Testing Device for Peripheral Diabetic Neuropathy</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4315605</link>
<description>Autofeelment: Design and Development of an Automated Monofilament Testing Device for Peripheral Diabetic Neuropathy
Sundar, Ilesh; Veliah, Geetha
Abstract. Peripheral diabetic neuropathy is a common complication of diabetes mellitus and is associated with progressive loss of protective sensation in the feet, increasing the risk of ulcers and lower-limb complications. The Semmes–Weinstein monofilament test is widely used to assess protective sensation; however, variability in manual administration may affect consistency in test delivery across settings. This study presents the design, development, and mechanical validation of Autofeelment, an automated device intended to standardize the application of the monofilament test through controlled actuation and sequencing. The device consists of a mechanical platform with four linear actuators, a microcontroller-based control system, and a smartphone interface to enable automated testing at predefined plantar locations. Mechanical validation was conducted using healthy volunteers to assess timing consistency, actuator performance, and usability. Ten participants each completed three consecutive testing trials, resulting in 30 validation trials and 120 actuator extensions. The device demonstrated a mean testing time of 10.409±0.019 s, corresponding to a coefficient of variation of 0.18%. Successful monofilament buckling was achieved in 118 of 120 actuator extensions (98.3%). Participants reported high levels of comfort (mean 4.6/5) and ease of use (mean 4.8/5), with no adverse events observed. These findings demonstrate the mechanical reliability, temporal consistency, and usability of the Autofeelment device as a prototype system. This study does not evaluate diagnostic accuracy or clinical effectiveness. Further work is required to validate automated monofilament testing in diabetic populations and to compare performance with standard manual testing methods.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Priorities in Planning Pediatric Medical Device Countermeasures</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4315604</link>
<description>Priorities in Planning Pediatric Medical Device Countermeasures
Foster, Carolyn C.; Zapotoczny, Grzegorz; Joseph, Francesca D.; Finkel, Julia C.; Hoyen, Claudia M.; Eskandanian, Kolaleh; Espinoza, Juan
Abstract. The COVID-19 pandemic revealed major gaps in the design, manufacturing, planning, and procurement of medical countermeasures (MCMs). Of ongoing concern is the existing shortage of Food and Drug Administration (FDA)-regulated device MCMs needed for children disaster medical response involving acute and chronic illness. Planning for and prioritizing manufacturing, stockpiling, and tracking pediatric MCMs availability are especially necessary given existing device deficits and differences in pediatric physiology and epidemiology. In this paper, we justify why a pediatric-specific lens is needed when planning and prioritizing medical device MCMs. We also analyze the current landscape of pediatric MCM devices across phases and levels of care in relation to adult products to include protective equipment, diagnostic platforms, monitoring tools, interventional devices, and life-sustaining technologies.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Patient-Specific Blood Pressure Estimation Using Elastography-Integrated Arterial Tonometry: Design, Development, and Experimental Evaluation in a Phantom Model</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4315603</link>
<description>Patient-Specific Blood Pressure Estimation Using Elastography-Integrated Arterial Tonometry: Design, Development, and Experimental Evaluation in a Phantom Model
Zhu, Ge; Minnie, David; Watson, Nora; Zheng, Yihao; Zhang, Quan
Abstract. Accurate assessment of arterial blood pressure (BP) and vascular stiffness is critical for diagnosing and monitoring cardiovascular disease. Arterial tonometry (AT) enables direct pulse wave acquisition and has been widely explored for noninvasive, continuous, wearable BP estimation. However, tonometry-based approaches typically rely on generalized arterial biomechanical parameters that exhibit substantial intersubject variability and can limit accuracy, particularly in pathological conditions. To address this limitation, we present a hybrid sensing framework that integrates shear wave elastography (SWE) with arterial tonometry to enable patient-specific biomechanical parameterization. The proposed device simultaneously acquires arterial stiffness metrics and pulse pressure waveforms, which are incorporated into a validated physics-driven model for continuous BP estimation. By combining elastography-derived mechanical priors with direct pulse wave measurements, this approach improves personalization and physiological fidelity of noninvasive, continuous BP monitoring. The proposed hybrid system demonstrates the potential for more accurate, patient-specific, and continuous blood pressure assessment, with implications for wearable cardiovascular monitoring and precision diagnostics.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<item>
<title>Design of a Novel Insertion Training System for Central Venous Catheterization</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4315602</link>
<description>Design of a Novel Insertion Training System for Central Venous Catheterization
Worrall, William; Moore, Jason Z.
Abstract. Central venous catheterization (CVC) is a common medical procedure with a complication rate of over 15%. Current CVC manikin-based simulators lack anatomical variation and objective feedback of user interaction skills, which greatly hinders effective skill acquisition. To address these limitations, a novel CVC insertion training system was developed and integrated with the Advanced Dynamic Haptic Robotic Trainer (DHRT+). This insertion training system contains a sensorized syringe, custom tissue phantom, and a tool detection subsystem, allowing residents to practice nearly the entire CVC procedure with realistic haptics and automated feedback on subcutaneous tool positioning. Five experiments were conducted to assess the haptic fidelity of the sensorized syringe and custom tissue and to evaluate the accuracy of subcutaneous tool detection. Results showed that the sensorized syringe, which detects aspiration and simulates arterial and venous flash, accurately reproduced clinical aspiration forces. The custom tissue phantom provided realistic force feedback during ultrasound (US) compression and needle insertion, comparable to that of commercial tissue phantoms at a substantially lower cost. The color sensors used to distinguish between inserted guidewires and catheters accurately verified tool depth and enabled tool insertion across multiple positions on the tissue surface. Overall, novel CVC insertion training system components were presented that enabled CVC simulation and provided accurate measurement on aspiration, guidewire depth, and catheter depth.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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