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Inpatient Monitoring System: Temperature, Oxygen Saturation, Blood Pressure, Heart Rate, and Infusion Automation Based on ESP 32, IoT, and Mobile Application 7

Inpatient Monitoring System: Temperature, Oxygen Saturation,...

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7th International Conference of Computer and Informatics engineering, IC2IE 2024

作者： Joseph, Irvanda Anthony, Patrick Astuti, Winda Lie, Zener Sukra Iwan Solihin, Mahmud Bina Nusantara University Binus Aso School of Engineering Automotive and Robotics Program Computer Engineering Department Jakarta11480 Indonesia Ucsi University Department of Mechanical and Mechatronics Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798331505530

The implementation of a patient monitoring system and infusion automation which aims to ensure regular and periodic monitoring of inpatient conditions are applied in this system. This embedded system is applied in hospitals and addresses the uneven distribution of healthcare workers in Indonesia, particularly in remote areas. Currently, manual checks by nurses can lead to errors and reduced patient comfort. The improvement supervision is developed in this work. The system monitored body temperature, oxygen saturation, blood pressure, heart rate, and automated infusions. All the embedded systems are connected to Internet of Things (IoT) and a real-time database accessible through an application and web. This system allows doctors and hospital authorities to make decisions based on patient condition history. The testing phase of the system shows four data acquisition devices (temperature, oxygen saturation, blood pressure, and heart rate), an ESP 32, and Firebase as a database, have ability to capture and send real-time data every five seconds and can be accessed by doctors, patients, and hospital authorities. © 2024 IEEE.

关键词： Remote patient monitoring

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Building Trust in E-Commerce by Examining the Relationships Between User Experience and Delivery Satisfaction 3

Building Trust in E-Commerce by Examining the Relationships ...

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3rd International Conference on Digital Transformation and Applications, ICDXA 2024

作者： Sudirman, Ivan Diryana Sudirman, Iman Utama, Iston Dwija Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Bandung Indonesia Pasundan University Faculty of Engineering Department of Mechanical Engineering Bandung Indonesia

ISBN: (纸本)9798350373424

This study analyzes the relationship across user experience, delivery satisfaction, and trust within the domain of e-commerce. The variables are assessed using Partial Least Squares (PLS) to identify their interaction. This research utilised a survey approach for collecting data from a sample of 151 participants, with the intent of interpreting their points of view. The findings suggest a significant correlation across user experience and trust in the framework of online purchase. Moreover, this study demonstrates that the satisfaction of customers with the delivery process plays a role in the creation of trust, but to a lesser extent compared to the user experience. These findings provide useful insights into the approaches that online platforms could utilize to establish and maintain the trust of their users. © 2024 IEEE.

关键词： Electronic commerce

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The Effect of EEG Segment's Length on Mental Workload Detection 3

The Effect of EEG Segment's Length on Mental Workload Detect...

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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2024

作者： Maarouf, Khalil Abo Alzahab, Nibras Saad, Ghada Università Politecnica delle Marche Department of Information Engineering Ancona60131 Italy Tishreen University Faculty of Mechanical and Electrical Engineering Department of Biomedical Engineering Syria Al Andalus University for Medical Sciences Syria Syria

ISBN: (纸本)9798350378009

The rapid advancements in neurotechnology and neuroergonomics have propelled the field of passive brain-computer interfaces (pBCIs) to the forefront of human-computer interaction. One critical aspect of pBCIs is the detection of mental workload (MWL), which plays a pivotal role in optimising cognitive performance and preventing cognitive overload. This study looks into the best length of an electroencephalography (EEG) segment for detecting mental workload (MWL) with passive brain-computer interfaces (pBCIs). We used the STEW dataset, which has EEG data from 48 people doing different cognitive tasks, to look at three different feature sets and five machine learning models to see how segment duration affected the accuracy of detection. We observed a rapid initial increase in accuracy with increasing segment duration, followed by a plateau that resulted in minimal improvement. Using gradient analysis and the Kneedle algorithm, the best segment length was found to be 2.43 seconds on average. This was the best balance between information content and computational efficiency. These results go against what most people think and give us a way to measure how to improve MWL detection in pBCIs, which could lead to better interactions between people and computers. We need to conduct further research to investigate the generalizability of these findings to different datasets and task paradigms, and to examine the influence of specific feature sets and classification algorithms on the ideal segment duration for MWL detection. © 2024 IEEE.

关键词： Brain computer interface

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Implementation of the Accurate Conservative Phase Field Method for Two-Phase Incompressible Flows in a Finite Volume Framework 1

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9th International and 49th National Conference on Fluid Mechanics and Fluid Power, FMFP 2022

作者： Jain, Sahaj S. Tafti, Danesh Engineering Mechanics Department of Biomedical Engineering and Mechanics Virginia Polytechnic Institute and State University Virginia24060 United States Department of Mechanical Engineering Virginia Polytechnic Institute and State University Virginia24060 United States

ISBN: (数字)9789819963430

ISBN: (纸本)9789819963423

The phase field method provides a simple mass conserving method for solving two-phase immiscible-incompressible Navier–Stokes Equations. The relative ease in implementing this method compared to other interface reconstruction methods, coupled with its conservativeness and boundedness makes it an attractive alternative. We implement the method in a parallel structured multi-block generalized coordinate finite volume solver using a collocated grid arrangement within the framework of the fractional step method. The discretization uses a second-order central difference method for both the Navier–Stokes and the phase field equations. A TVD-based averaging technique is used for calculating density at cell faces in the pressure correction step to handle high-density ratios. The simulation framework is verified in standard test cases: Zalesak Disk, a droplet in shear flow, Solitary Wave Run-up, Rayleigh Taylor Instability, and the Dam Break Problem. A second-order rate of convergence and excellent phase volume conservation is observed. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Finite volume method

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Fabrication and Characterization of Willemite Scaffolds Using Corn Stalk as a Novel Bio Template for Bone Tissue engineering Applications

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Journal of Bionic engineering 2023年第1期20卷 16-29页

作者： Zahra Yahay Seyed Mehdi Mirhadi Fariborz Tavangarian Department of Cellular Biotechnology Cell Science Research CenterRoyan Institute for BiotechnologyACECRIsfahan81593-58686Iran Department of Materials Engineering Shahreza BranchIslamic Azad UniversityShahrezaIsfahan86145-311Iran Mechanical Engineering Program School of ScienceEngineering and TechnologyPennsylvania State UniversityHarrisburgMiddletownPA17057USA

In this paper,we used Corn Stalk(CS)as a renewable and economical bio template to fabricate willemite scaffolds with the potential application in skull bone *** was used as a sacrificial template to synthesize the *** scaffolds with the chemical formula of Zn2SiO4 and pore size in the range of 3 to 10µm could be successfully synthesized by soaking CS in the willemite solution for 24 h and sintering at 950°C for 5 *** porosity of the samples was controlled by the soaking time(between 12 and 48 h)in the willemite solution from 5 to 35%,*** properties of these scaffolds showed a good approximation with cranial bone *** addition,cytotoxicity assays(MTT)were performed on Human Bone Marrow Stromal cells(HBMSc)and A172 human glioblastoma cell lines by direct and indirect culture methods to estimate their toxicity for bone and nerve cells,*** Phosphatase(ALP)activity and DAPI/Phalloidin cell staining were also performed to investigate the efficiency of the scaffolds for bone tissue engineering *** results showed that the scaffolds had good biocompatibility with both HBMSC and A172 cells,noticeable improvement on ALP activity,and great apatite formation ability in Simulated Body Fluid(SBF).All the evidence ascertained that willemite scaffolds made by corn stalks could be a useful candidate for bone tissue engineering applications.

关键词： Corn stalk Bio template Bioactive ceramics-Scaffolds Bone tissue engineering

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Quantifying the Algae and Toxic Nanoparticle Interactions using Optical Coherence Tomography 2

Quantifying the Algae and Toxic Nanoparticle Interactions us...

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Photonic Technologies in Plant and Agricultural Science II 2025

作者： Liu, Hongshan Yong, Xin Du, Ke Gan, Yu Department of Biomedical Engineering Stevens Institute of Technology HobokenNJ United States Department of Mechanical and Aerospace Engineering University at Buffalo BuffaloNY United States Department of Chemical and Environmental Engineering University of California Riverside RiversideCA United States

ISBN: (纸本)9781510684621

Microalgae are increasingly recognized for their nutritional value and sustainable production potential. However, growing microalgae in wastewater poses risks due to pollutants like pathogens and nanoparticles. Optical coherence tomography (OCT) offers real-time, high-resolution imaging to visualize and quantify algae-nanoparticle interactions. This study used OCT to capture three-dimensional volumes of microalgae under three conditions: interaction with quantum dots (qdots), exposure to buffer, and a control group. Statistical tests on attenuation coefficients revealed significant differences in algae exposed to qdots. These results demonstrate OCT's potential for monitoring algae-pollutant interactions, with future work focused on further quantification and advanced machine learning tool. © 2025 SPIE.

关键词： Optical coherence tomography

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Material Removal Mechanism and Force Modeling in Ultrasonic Vibration-Assisted Micro-Grinding Biological Bone

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Chinese Journal of mechanical engineering 2023年第5期36卷 20-44页

作者： Jingang Sun Changhe Li Zongming Zhou Bo Liu Yanbin Zhang Min Yang Teng Gao Mingzheng Liu Xin Cui Benkai Li Runze Li Yusuf Suleiman Dambatta Shubham Sharma School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao 266520China Hanergy(Qingdao)Lubrication Technology Co. Ltd.Qingdao 266520China Sichuan Future Aerospace Industry LLC. Shifang 618400China Department of Biomedical Engineering University of Southern CaliforniaLos AngelesCA 90089USA Mechanical Engineering Department Ahmadu Bello UniversityZaria 810106Nigeria Department of Mechanical Engineering and Advanced Materials Science Regional Center for Extension and DevelopmentCouncil of Scientifc and Industrial Research(CSIR)-Central Leather Research Institute(CLRI)Jalandhar 144021India

Micro-grinding with a spherical grinding head has been deemed an indispensable method in high-risk surgeries, such as neurosurgery and spine surgery, where bone grinding has long been plagued by the technical bottleneck of mechanical stress-induced crack damage. In response to this challenge, the ultrasound-assisted biological bone micro-grinding novel process with a spherical grinding head has been proposed by researchers. Force modeling is a prerequisite for process parameter determination in orthopedic surgery, and the difculty in establishing and accurately predicting bone micro-grinding force prediction models is due to the geometric distribution of abrasive grains and the dynamic changes in geometry and kinematics during the cutting process. In addressing these critical needs and technical problems, the shape and protrusion heights of the wear particle of the spherical grinding head were frst studied, and the gradual rule of the contact arc length under the action of high-speed rotating ultrasonic vibration was proposed. Second, the mathematical model of the maximum thickness of undeformed chips under ultrasonic vibration of the spherical grinding head was established. Results showed that ultrasonic vibration can reduce the maximum thickness of undeformed chips and increase the range of ductile and bone meal removals, revealing the mechanism of reducing grinding force. Further, the dynamic grinding behavior of diferent layers of abrasive particles under diferent instantaneous interaction states was studied. Finally, a prediction model of micro-grinding force was established in accordance with the relationship between grinding force and cutting depth, revealing the mechanism of micro-grinding force transfer under ultrasonic vibration. The theoretical model’s average deviations are 10.37% in x-axis direction, 6.85% in y-axis direction, and 7.81% in z-axis direction compared with the experimental results. This study provides theoretical guidance and technical sup

关键词： Spherical grinding head Gradual contact arc length Maximum undeformed chip thickness Microgrinding force

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Simple Microcontroller-Based Walking Speed Measuring Device 1

Simple Microcontroller-Based Walking Speed Measuring Device

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1st International Conference on Smart Mechatronics, ICSMech 2024

作者： Lestari, Wahyu Dwi Hidayatulloh, Papat Sanjaya, Kadek Heri Simbolon, Artha Ivonita Dirayati, Muslimah Setiawan, Dika University of Pembangunan Nasional Veteran Jawa Timur Department of Mechanical Engineering Surabaya Indonesia BandungIndonesia Indonesia Sumatera Institute of Technology Department of Biomedical Engineering Bandar Lampung Indonesia

ISBN: (纸本)9798350368918

Walking speed provides a useful indicator of individual health. Walking speed measurement is usually conducted manually using a stopwatch. In this paper, we develop a microcontroller-based automatic walking speed measuring device (WSMD) which incorporates two infrared photo-detectors. Time measurement accuracy of the proposed device was kept within ± 1 ms by employing a dedicated counter circuit. In this study, 48 data points of walking speed from four subjects (with three repeated measurements from each subject) have been obtained using the proposed WSMD device, stopwatches operated by two observers, and Perception Neuron Accelerometer Suit (PNAS) device. The proposed WSMD shows higher linearity and precision and lower measurement bias over repeated measurement compared to manual measurement using stopwatches. Additionally, the proposed device shows a good correlation with the PNAS device indicated by an R-square value of 0.967 and p-value of 0.981. © 2024 IEEE.

关键词： Stop watches

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Ceramicized NASICON-based solid-state electrolytes for lithium metal batteries

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Journal of Solid State Electrochemistry 2024年第7期28卷 2047-2057页

作者： Tsai, Yung-Chun Ku, Meng-Chiao Hsieh, Chien-Te Sung, Po-Yu Chen, Pin-Shuan Mohanty, Debabrata Gandomi, Yasser Ashraf Hung, I-Ming Patra, Jagabandhu Chang, Jeng-Kuei Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32003 Taiwan Department of Mechanical Biomedical Engineering University of Tennessee KnoxvilleTN37996 United States Department of Chemical Engineering Massachusetts Institute of Technology CambridgeMA02142 United States Research Center National Cheng Kung University Tainan70101 Taiwan Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan

In this work, we have developed ceramicized hybrid solid state electrolytes (SSEs), which consisted of poly (vinylidene fluoride-hexafluoro propylene) (PVDF-HFP), lithium bis (trifluoromethanesulfonyl)imide (LiTFSI) salt, and sodium superionic conductor (NASICON)-type Li1+xAlxTi2‒x(PO4)3 (LATP) powders for lithium-ion batteries (LIBs) utilizing lithium metal anode. Adopting the sol–gel synthesis technique followed by a thermal calcination at 850 °C, we synthesized round-like LATP powders with an average particle size of ~ 30 μm. engineering the LATP content (~ 45 wt.%) within the hybrid SSEs, we were able to achieve thermal stability along with superior ionic conductivity (i.e., 1.40 × 10−4 S cm−1 at 30 °C). Employing the Arrhenius plot in the temperature range of 30‒70 °C, the activation energy for the ionic conduction was lowered significantly (i.e., 0.21 eV) compared to prior efforts reported in the literature (i.e., 0.27 − 0.35 eV). The application of highly optimized SSE within a LIB with lithium metal anode resulted in the maximal capacity of ~ 162 mAh g−1 at 0.1 C. The cyclic performance of the battery utilizing such an optimized SSE configuration was very robust with a highly stable coulombic efficiency (~ 96.7%) after 100 cycles. Indeed, the ceramicized LATP-based SSEs developed in this work, can be employed for boosting the ionic conductivity, specific capacity, and cycle life while mitigating the interfacial resistance of the electrolyte/electrode layer for LIBs with lithium metal anode. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.

关键词： Activation energy

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Prediction of miRNA family based on class-incremental learning

Prediction of miRNA family based on class-incremental learni...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Liu, Yajun Qiu, Lulu Li, Aimin Fei, Rong Li, Junhuai Wu, Fang-Xiang Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China Division of Biomedical Engineering Department of Mechanical Engineering Department of Computer Science Saskatoon Canada

ISBN: (纸本)9798350386226

With the development of deep sequencing, recent studies indicate that a miRNA precursor can generate multiple miRNA isoforms (isomiRs). The family prediction of canonical miRNAs and isomiRs could provide a basis for miRNA functional research. In this study, we propose a novel method for family identification of canonical miRNA and isomiRs based on incremental learning. First, a benchmark dataset is constructed by processing data based on miRNA sequences and their family annotation. Moreover, sequence embedding and RNN are used for capturing essential features and inherent dependencies within a sequence. Finally, incremental learning is applied to accommodate the continuous influx of miRNA sequencing data, enabling RNN to stay relevant and effective over time. Comparative experiments and ablation studies illustrate the effectiveness of our model, which can help to comprehensively understand miRNA's function. © 2024 IEEE.

关键词： Contrastive Learning

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