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5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Kosulina, Natalia Korshunov, Kostiantyn Kosulin, Stanislav Shigimaga, Victor Chorna, Mariia Sukhin, Vitaly Department of Electromechanics Robotics Biomedical and Electrical Engineering State Biotechnological University Kharkiv Ukraine Department of Oncology Radiotherapy Oncosurgery and Palliative Care Kharkiv National Medical University Kharkiv Ukraine

ISBN: (纸本)9798350384499

- The paper examines a mathematical model of the influence of the electromagnetic field on the plant environment with insect pests, namely the interaction of radio pulses with the layer of the plant environment and the calculation of the average electromagnetic field in the plant layer. The dependence of the normalized value of the average electric field on the filling frequency of the radio pulse, the biotropic parameters of the electromagnetic field for the destruction of insect pests of agricultural crops are given. ©2024 IEEE.

关键词： biotropic parameters crops electric field intensity electromagnetic field exposure frequency insect pests Keywords mathematical model plant environment

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Research of Mathematical Model of Microwave Drying of Wet Wool 5

Research of Mathematical Model of Microwave Drying of Wet Wo...

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5th International Conference in Electronic engineering, Information Technology and Education, EEITE 2024

作者： Kosulina, Natalia Chorna, Mariia Milenin, Dmytro Sukhin, Vitaly Kosulin, Stanislav Korshunov, Kostiantyn State Biotechnological University Department of Electromechanics Robotics Biomedical and Electrical Engineering Kharkiv Ukraine Kharkiv National Medical University Department of Oncology Radiotherapy Oncosurgery and Palliative Care Kharkiv Ukraine

ISBN: (纸本)9798350372878

The paper considers a mathematical model of microwave drying of wet wool. Based on the analysis of the model, the dependence of the temperature of wet wool irradiated with electromagnetic fields on the duration of exposure and the depth of the sample, the dependence of temperature changes at certain points in time throughout the entire depth of the chamber with wet wool, and the dynamics of temperature changes in each section of the wool volume from the beginning to the end of drying, dependence of temperature changes at certain points in time, dependence of temperature changes throughout the entire volume, dependence of wool moisture content on the density of the incident power and drying time, dependence of the moisture content of washed wool on the level of power density at various points in time during drying, dependence of the moisture content of washed wool on drying time at different power levels © 2024 IEEE.

关键词： Wool

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Study of a pulsed radio source of radiation in the centimeter range for the destruction of insect pests of agricultural crops 5

Study of a pulsed radio source of radiation in the centimete...

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5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Kosulina, Natalia Korshunov, Kostiantyn Kosulin, Stanislav Lyashenko, Hennadij Chorma, Mariia Sukhin, Vitaly Department of Oncology Radiotherapy Oncosurgery and Palliative Care Kharkiv National Medical University Kharkiv Ukraine Department of Electromechanics Robotics Biomedical and Electrical Engineering State Biotechnological University Kharkiv Ukraine

ISBN: (纸本)9798350384499

The work examines a radio pulse source of centimeter wave radiation for the destruction of agricultural pests, namely the reliability of theoretical approaches and models based on the development and research of the main characteristics of a synchronizing generator, prototyping and debugging of electronic systems of a 12-diode generator for the destruction of agricultural pests. The dependence of the frequency stretching band on the coupling coefficient between the resonators and the dependence of the pulse power of a twelve-diode generator on the duty cycle of the pulses are given. ©2024 IEEE.

关键词： Diodes

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Preliminary assessment of an open-source leg prosthesis based upon the OSL 2.0

Preliminary assessment of an open-source leg prosthesis base...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Scheidl, Marc-Anton Wunder, Philipp Czierlinski, Belinda Castellini, Claudio Friedrich-Alexander-Universität Erlangen-Nürnberg Assistive Intelligent Robotics Lab Department Artificial Intelligence in Biomedical Engineering Erlangen91052 Germany Friedrich-Alexander-Universität Erlangen-Nürnberg Mechanics Workshop of the Faculty of Engineering Erlangen91052 Germany

ISBN: (纸本)9798331531614

In this paper, we introduce an academic-level, highly modular leg prosthesis based upon the Open Source Leg (OSL) 2.0, targeting improved manufacturability, cost-effectiveness, and functionality in prosthetic technology. The OSL's structure has been amended by implementing a modular design and more standard components to support flexible configurations for both left and right leg amputations. With respect to the OSL 2.0, our results demonstrate a 40-70% reduction in manufacturing time and costs while maintaining high standards of safety and functionality as confirmed by Finite Element Analysis (FEA), which showed an enhanced safety factor of 1.107 under static loads. The new prosthetic leg achieves a significant cost reduction and facilitates greater accessibility and adaptability, promoting further adoption. © 2025 IEEE.

关键词： Cost reduction

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Electrochemical Monitoring of Intracellular Reactive Oxygen Species Based on Automated Nanoprobe Platform

Electrochemical Monitoring of Intracellular Reactive Oxygen ...

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2023 Annual IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2023

作者： Ma, Yanmei Hu, Weikang Ruan, Muyang Zhan, Zhen Zhang, Yi Hu, Chengzhi Southern University of Science and Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering Shenzhen China City University of HongKong Department of Biomedical Engineering Hong Kong

ISBN: (纸本)9798350344486

The electrochemical detection of endogenous molecules from a single cell is a crucial technique for understanding fundamental cellular processes at the subcellular level and uncovering cellular heterogeneity. However, high throughput intracellular detection has posed significant challenges. This paper proposes a simple method for fabricating a nanoprobe for the electrochemical monitoring of intracellular reactive oxygen species (ROS), which are important signaling molecules that play a key role in a wide range of cellular processes, including apoptosis, proliferation, and differentiation. Combined with the automated nanoprobe platform, the study successfully achieved minimally invasive and efficient intracellular ROS detection in living cells. Moreover, the results reveal that the average ROS concentration in the cytoplasm and nucleus is uneven, which has important implications for the understanding of cellular redox signaling. © 2023 IEEE.

关键词： Nanoprobes

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Quantifying Joint Movement Variability in Healthy and Hemiplegic Gait using OpenSim 2

Quantifying Joint Movement Variability in Healthy and Hemipl...

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2nd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Rafiq, Tabassum Younis, Sadia Narayan, Jyotindra Institute of Information Management and Technology Department of Biotechnology Uttar Pradesh Aligarh202001 India Government College of Engineering and Technology Department of Biomedical Engineering Jammu and Kashmir Ganderbal193504 India Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Assam Guwahati781039 India

ISBN: (纸本)9798350360523

This study delves into the scaling capabilities of OpenSim, a biomechanical modeling tool, to scrutinize musculoskeletal alterations accompanying the hemiplegic condition compared to a healthy model. Contralateral hemiplegia (CH), characterized by unilateral paralysis, induces profound changes in bone size and significantly influences an individual's gait. Motivated by understanding the biomechanical repercussions of CH on human movement, we conducted a comprehensive investigation involving ten patients with CH, with a median age of 46 years (range: 39 to 52.0 years and height: 1.75 0.6 m). Ten healthy controls with similar body attributes were±also recruited. We assessed musculoskeletal changes post-CH using bone length data from MRI reports obtained from a hospital. Inverse kinematics in OpenSim are facilitated for a detailed comparison of joint angles between unhealthy and healthy individuals. The gait data is visualized and analyzed using statistical metrics such as mean absolute deviation, box plots, and a two-sample t-test. The results revealed significant differences in hip and ankle joint angles between healthy and hemiplegic individuals, underscored by low p-values. Interestingly, no significant difference was observed in knee joint angles (p-value = 0.9126). These findings contribute to a valuable understanding of hemiplegia-related musculoskeletal changes, offering potential avenues for tailored interventions to improve mobility and quality of life. © 2024 IEEE.

关键词： Inverse kinematics

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Acoustic Reflector-Integrated Encapsulation for Needle-Aligned Ultrasound-Guided PCNL Access

Acoustic Reflector-Integrated Encapsulation for Needle-Align...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Palisetti, Abhinav King, Alexander Priestner, Cabot Yi, Haohao Tang, Yichuan Murakami, Ryo Zhang, Haichong K. Worcester Polytechnic Institute Biomedical Engineering Department WorcesterMA United States Worcester Polytechnic Institute Mechanical Engineering Department WorcesterMA United States Worcester Polytechnic Institute Robotics Engineering Department WorcesterMA United States

ISBN: (纸本)9798350346459

Percutaneous Nephrolithotomy (PCNL) is a procedure to remove kidney stones by needle insertion into the kidney followed by dilation of the needle path for surgical tools to enter and stones to be removed. Current techniques for needle insertion either do not visualize the needle entry point into tissue, or require careful hand-hand coordination to visualize the needle. This research aims to develop a stable system to visualize the entire needle insertion path during ultrasound-guided PCNL. A novel method, designed by Tang et al. (2022), implemented two parallel acoustic reflectors to reflect ultrasound into the patient, and a needle inserted through a gap between the reflectors. Results showed the ability to visualize the needle path at any needle pitch angle, and, most importantly, the ability to visualize the needle from its insertion point to the target. In this current research, a modular design was created that allowed any probe to fit into the system by altering just three components. Several structural modifications were made to make the system waterproof, allowing the fluid material that housed the reflectors to be replaced with a fluid with better sound transmission. An algorithm was created to allow better needle tip and needle path visualization by analyzing raw image data. Custom acoustic impedance-matched materials were used to allow better sound transmission and better image quality. Through multiple tests and a mathematical model, the team developed an optimal combination of materials that produced the best image quality, determined through Contrast to Noise Ratio (CNR), Signal to Noise Ratio (SNR), and Full-Width Half-Maximum (FWHM). © 2023 IEEE.

关键词： Signal to noise ratio

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Advancing Accessibility: Voice Cloning and Speech Synthesis for Individuals with Speech Disorders

SSRN

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SSRN 2023年

作者： Vinotha, R. Hepsiba, D. Anand, L.D. Vijay Reji, Deepak John Department of Robotics Engineering Department of Biomedical Engineering Environmental Resources Management

Text-to-speech (TTS) synthesis is a powerful technology that can generate speech using neural networks. One of the most remarkable features of TTS synthesis is its capability to produce speech in the voice of different speakers. This paper introduces voice cloning and speech synthesis https://***/project/voice-cloning/ an open-source python package for helping speech disorders to communicate more effectively as well as for professionals seeking to integrate voice cloning or speech synthesis capabilities into their projects. This package aims to generate synthetic speech that sounds like the natural voice of an individual, but it does not replace the natural human voice. The architecture of the system comprises a speaker verification system, a synthesizer, a vocoder, and noise reduction. Speaker verification system trained on a varied set of speakers to achieve optimal generalization performance without relying on transcriptions. Synthesizer is trained using both audio and transcriptions that generate Mel spectrogram from a text and vocoder which converts the generated Mel Spectrogram into corresponding audio signal. Then the audio signal is processed by a noise reduction algorithm to eliminate unwanted noise and enhance speech clarity. The performance of synthesized speech from unseen speakers are then evaluated using subjective and objective evaluation such as Mean Opinion Score (MOS), Gross Pitch Error (GPE), and Spectral distortion (SD). The model can create speech in distinct voices by including speaker characteristics that are chosen randomly. © 2023, The Authors. All rights reserved.

关键词： Speech synthesis

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Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis

arXiv

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arXiv 2024年

作者： Vinotha, R. Hepsiba, D. Anand, L.D. Vijay Reji, Deepak John Department of Robotics Engineering India Department of Biomedical Engineering India Environmental Resources Management United Kingdom

Neural Text-to-speech (TTS) synthesis is a powerful technology that can generate speech using neural networks. One of the most remarkable features of TTS synthesis is its capability to produce speech in the voice of different speakers. This paper builds upon the foundation of neural TTS synthesis, particularly focusing on voice cloning and speech synthesis capabilities for Indian accents. This stands in contrast to most existing systems, which are predominantly trained on Western accents. First, a LSTM based speaker verification system identifies distinctive speaker traits. Next, a synthesizer, acting as a sequence-to-sequence model, translates text into Mel spectrograms representing speech acoustics. A WaveRNN vocoder transforms these spectrograms into corresponding audio waveforms. Finally, noise reduction algorithms refine the generated speech for enhanced clarity and naturalness. This system significantly enhanced its cloning process by training on a diverse multi-accent dataset (with 80% Indian accent). The improvement is attributed to the model being exposed to 600 hours of speech signals, encompassing the voices of 3000 speakers. This paper offers an open-source Python package https://***/project/voice-cloning/specifically designed for professionals seeking to integrate voice cloning and speech synthesis capabilities into their projects. This package aims to generate synthetic speech that sounds like the natural voice of an individual, but it does not replace the natural human voice. © 2024, CC BY.

关键词： Speech synthesis

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Forearm Ultrasound Based Gesture Recognition on Edge

Forearm Ultrasound Based Gesture Recognition on Edge

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Keshav Bimbraw Haichong K. Zhang Bashima Islam Robotics Engineering Worcester Polytechnic Institute Worcester USA Robotics Engineering and Biomedical Engineering Worcester Polytechnic Institute Worcester USA Electrical and Computer Engineering Worcester Polytechnic Institute Worcester USA

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

Ultrasound imaging of the forearm has demon-strated significant potential for accurate hand gesture classification. Despite this progress, there has been limited focus on developing a stand -alone end-to-end gesture recognition system which makes it mobile, real-time and more user friendly. To bridge this gap, this paper explores the deployment of deep neural networks for forearm ultrasound-based hand gesture recognition on edge devices. Utilizing quantization techniques, we achieve substantial reductions in model size while maintaining high accuracy and low latency. Our best model, with Float16 quantization, achieves a test accuracy of 92% and an inference time of 0.31 seconds on a Raspberry Pi. These results demonstrate the feasibility of efficient, real-time gesture recognition on resource-limited edge devices, paving the way for wearable ultrasound-based systems.

关键词： Deep learning Ultrasonic imaging Accuracy Quantization (signal) Imaging Gesture recognition Real-time systems biomedical monitoring Low latency communication Monitoring

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