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2024 biomedical Circuits and Systems conference

作者： Zhou, Shihong Wang, xin Suo, Yanxing Han, xiao Wang, Guoxing Zhao, Yang Shanghai Jiao Tong Univ Dept Micronano Elect Shanghai Peoples R China Natl Key Lab Adv Micro & Nano Manufacture Technol Shanghai Peoples R China

ISBN: (纸本)9798350354966;9798350354959

Real-time monitoring of vital signs in wearable devices focuses on accurate photoplethysmogram (PPG) and electrocardiogram (ECG) recording. Motion artifacts, ambient light interference and sensor-skin contact variability affect signal quality significantly, demanding a multi-channel sensor interface chip with a high dynamic range and energy efficiency. A PPG/ECG SoC is proposed for robust signal optimization. Time-division multiplexing, ambient double sampling and DC current compensation together enhance the dynamic range. Fabricated in 0.18 mu m CMOS technology, the chip features a 5.63-pArms direct digitized input-referred noise for PPG readout and 365-nVrms for ECG. A cross-scale dynamic range of 133dB is achieved, providing saturation-free usage for sport wearable devices such as smart rings.

关键词： Multi-channel dynamic range wearable devices photoplethysmogrffin electrocardiogram

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Semi-implantable device based on multiplexed microfilament electrode cluster for continuous monitoring of physiological ions

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Bio-Design and Manufacturing 2024年第1期7卷 88-103页

作者： Shuang Huang Shantao Zheng Mengyi He Chuanjie Yao xinshuo Huang Zhengjie Liu Qiangqiang Ouyang Jing Liu Feifei Wu Hang Gao xi xie Hui-jiuan Chen State Key Laboratory of Optoelectronic Materials and Technologies Guangdong Province Key Laboratory of Display Material and TechnologySchool of Electronics and Information TechnologySun Yat-Sen UniversityGuangzhou 510006China Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical EngineeringSun Yat-Sen UniversityShenzhen 518107China The First Affiliated Hospital of Sun Yat-Sen University Guangzhou 510080China Pazhou Lab Guangzhou 510335China Institute of Microelectronics of the Chinese Academy of Sciences Beijing 100029China

Modern medicine is increasingly interested in advanced sensors to detect and analyze biochemical *** sensors based on potentiometric methods are a promising platform for monitoring physiological ions in biological *** semi-implantable devices are mainly based on single-parameter *** semi-implantable electrodes for multiparameter sensing have more restrictions on the electrode size due to biocompatibility considerations,but reducing the electrode surface area could potentially limit electrode *** study developed a semi-implantable device system comprising a multiplexed microfilament electrode cluster(MMEC)and a printed circuit board for real-time monitoring of intra-tissue K^(+),Ca^(2+),and Na^(+)*** electrode surface area was less important for the potentiometric sensing mechanism,suggesting the feasibility of using a tiny fiber-like electrode for potentiometric *** MMEC device exhibited a broad linear response(K^(+):2–32 mmol/L;Ca^(2+):0.5–4 mmol/L;Na^(+):10–160 mmol/L),high sensitivity(about 20–45 mV/decade),temporal stability(>2weeks),and good selectivity(>80%)for the above *** vitro detection and in vivo subcutaneous and brain experiment results showed that the MMEC system exhibits good multi-ion monitoring performance in several complex *** work provides a platform for the continuous real-time monitoring of ion fluctuations in different situations and has implications for developing smart sensors to monitor human health.

关键词： Multiplexed microfilament electrode cluster physiological ion sensing Subcutaneous and brain experiment Wearable platform for multi-ion detection Continuous real-time monitoring system

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Leveraging RingConn smart Ring for Monitoring Women's Menstrual Health: A Pilot Study

Leveraging RingConn Smart Ring for Monitoring Women's Menstr...

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2024 biomedical Circuits and Systems conference

作者： Li, Qin Wu, Hao Hu, Qian Sze, Siufung Guo, xianghao Wang, Yao Shanxi Univ Chinese Med Affiliated Hosp 2 Dept Obstet & Gynecol Xianyang Peoples R China Shenzhen Ninenovo Technol Ltd Shenzhen Peoples R China Chinese Univ Hong Kong Dept Obstet & Gynecol Hong Kong Peoples R China Chinese Univ Hong Kong LKS Inst Hlth Sci S Hong Kong Peoples R China

ISBN: (纸本)9798350354966;9798350354959

Women's health is an important area of global public health research, encompassing numerous physical, psychological, and social dimensions. Among these, monitoring the menstrual cycle is a key aspect of health management. Currently, the menstrual cycle prediction mainly uses the method of recording historical dates, which relies on the self-report of the user and is subjective. However, with the advent of intelligent wearable technology, menstrual monitoring methods based on physiological indicators provide a more scientific approach. In this paper, we utilized temperature data monitored by the RingConn smart Ring for trend analysis and predicted the next menstrual date based on the observed temperature trends. Among the recruited subjects, the prediction accuracy within +/- 3 days was 92.55%, verifying the method's effectiveness and accuracy. This study lays the foundation for further exploration of menstrual prediction based on skin body temperature in the future.

关键词： skin body temperature (BBT) menstrual prediction smart ring

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Will smart Ring be Next Wave of Wearables?

Will Smart Ring be Next Wave of Wearables?

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2024 biomedical Circuits and Systems conference

作者： Wang, Min Chen, Cheng Wu, Han Zhang, Jianyu Zhou, Shihong Wang, Guoxing Shanghai Jiao Tong Univ Natl Key Lab Adv Micro & Nano Manufacture Technol Shanghai Peoples R China Shanghai Jiao Tong Univ Dept Micronano Elect Shanghai Peoples R China Shenzhen Ninenovo Technol Ltd Shenzhen Peoples R China

ISBN: (纸本)9798350354966;9798350354959

Wearables provide a promising solution for proactive health by monitoring real-time vital signs long-term. However, wrist-worn devices, like smartwatchcs, have faced issues with inaccuracy and information loss. This is primarily due to two factors: motion artifacts, which interfere with recorded signals due to relative movement, and the anatomical complexity of the wrist, complicating sensor placement, especially for optical sensors that require optimal positioning of light sources and receivers. Photoplethysmography (PPG) is a critical signal recorded by wearables. The Finger is a more suitable measurement site for PPG signals due to its high vascular density and few static tissues. Additionally, fingerworn des ices adhere more securely to the skin than wrist-worn devices, reducing sensitivity to external interference and improving PPG signal quality. Advances in electronic devices have led to significant progress in smart rings, making them a promising next-generation wearable. This paper discusses the development, potential, and challenges of smart ring technologies. With accelerating research, we believe smart rings are poised to become a main player in the wearable market.

关键词： smart ring wearables photoplethystnography proactive health

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Flux growth of optical sensor zinc selenide crystals 21

Flux growth of optical sensor zinc selenide crystals

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conference on smart biomedical and physiological sensor technology Xxi

作者： Brandt, Meghan Schmidt, Nicholas Tauraso, Aria Sood, Rachit Su, Ching Hua Arnold, Bradley Choa, Fow-Sen Cullum, Brian Singh, N. B. NASA Marshall Space Flight Ctr EM3 Huntsville AL 35812 USA Univ Maryland Baltimore Cty 1000 Hilltop Circle Baltimore MD 21250 USA

ISBN: (纸本)9781510674370;9781510674363

Binary and ternary selenide crystals have been proven as multifunctional for optical sensors and laser applications. The aim of this study was to evaluate reactive flux growth process of the doped zinc selenide crystals and compared with bulk physical vapor transport (PVT) grown large single crystals. The experimental process of synthesis involved PVP (Polyvinyl Pyrrolidone) flux dissolved in DI water which was heated at 65 degrees C, stirred until all PVP dissolved. We added Se powder dissolved in ethanol and heated again for few minutes. We added ZnCl2 solution in ethanol/Se mixture and heated at well below 100 degrees C. Water and ethanol solvent was separated and placed at 200C. The residue material was doped with transition metal. This material was characterized for the luminescence and compared with the results of bulk crystals grown by PVD process.

关键词： ZnSe Flux growth Crystals Reactive solution Spray spin

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MagNeura: DNN Factored Magnetic sensor Based Finger Tracking Wearable Design

MagNeura: DNN Factored Magnetic Sensor Based Finger Tracking...

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2024 biomedical Circuits and Systems conference

作者： Jonna, Prashanth Nitheezkant, R. Rao, Madhav IIIT Bangalore Surg & Assist Robot Lab Bangalore Karnataka India

ISBN: (纸本)9798350354966;9798350354959

Finger pose tracking is an important task in various healthcare domains, including rehabilitation. Existing solutions based on computer vision, strain gauges, Inertial Motion Units, thermal cameras and surface electromyography pose a variety of limitations. This paper proposes MagNeura, a compact system that estimates finger angles based on tri-axial magnetometers. Unlike conventional mathematical model-based mapping between sensor data and finger angles, the sensor data is fed to a deep neural network (DNN) to estimate the angles. The system is easily calibrated to different users and environments. Moreover, the setup remains independent of the individual's physiological signals, which otherwise limits the scalability and generalizability of the usage. The proposed wearable system is characterized for precise finger movement, and a deeper analysis of the system's accuracy over the ground-truth results is presented. The proposed wearable system enables tracking of individual and multiple fingers to estimate various hand poses which otherwise remains a challenge. Real-time tracking of dynamically changing finger gestures has various use cases including physical rehabilitation, human-computer interaction, gaming, and sign-language translation. The precise finger tracking established from AI applied on magnetic sensing is a step towards developing a reliable and efficient body motion tracking system.

关键词： Finger Tracking Human-Computer Interaction Neural Networks

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Embedded Multi-sensor smartwatch for Computationally Intensive Biosignal Processing

Embedded Multi-Sensor Smartwatch for Computationally Intensi...

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2024 biomedical Circuits and Systems conference

作者： Rapa, Picrangelo M. Orlandi, Mattia Zanghieri, Marcello Benini, Luca Benatti, Simone Univ Bologna Bologna Italy Univ Modena & Reggio Emilia Modena Italy Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9798350354966;9798350354959

Over the past decades, the rapid expansion of the wearable market has led to significant advances in integrated devices and technologies, particularly in smartwatches. These devices can unobtrusively acquire various physiological signals such as ECG, EDA, and PPG, resulting ideal for real-time monitoring of vital parameters in medical diagnostics, consumer health, and sports performance analysis. However, existing commercial solutions often do not focus on health-specific applications and face challenges in sensor integration, hardware/software optimization, and onboard signal processing. This paper introduces GAPWatch, a smartwatch-shaped platform with a PCB size of 49 x 47 x 1.2 mm based on GAP9 SoC for efficient onboard signal processing and designed to acquire ECG, PPG, inertial data, and 16-channels sEMG. The platform also features an ESP32-based radio module for connectivity and an STM32U5 MCU acting as a gateway. The system is validated in three scenarios: high-rate sEMG acquisition and streaming, low-rate ECG, PPG, and IMU data streaming, and onboard heart rate (HR) estimation using a TCN. In the HR estimation scenario, GAPWatch performs an inference every 2 seconds, transmitting results via BLE while consuming only 10.02 mW, yielding a battery life of over 92 hours.

关键词： Embedded Systems Low-Power TinyML Wearable smartwatch

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Design of a Multi-sensor Wearable physiological Parameters Monitoring System Using Machine Learning Algorithm

Design of a Multi-Sensor Wearable Physiological Parameters M...

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2024 International conference on smart Electronics and Communication Systems, ISENSE 2024

作者： Prabakaran, Aarthy Rufus, Elizabeth School of Electronics Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798331528126

An aging population and changing lifestyles have led to an increase in health problems, necessitating a robust and scalable medical system. A healthy society can be fostered by implementing a comprehensive health tracking system that enables early disease detection and continuous remote healthcare monitoring. This can be achieved by employing a wearable healthcare monitoring system, that can assist the medical sector in reducing hospitalizations and facilitating early diagnosis. To address this need, a Wearable physiological Monitoring System (W-PMS) is proposed in this study. A prototype has been developed with the capability to record electrocardiography (ECG), photoplethysmography (PPG), and body temperature, and calculate crucial vital parameters such as heart rate, saturation of peripheral oxygen (SpO2) level, and blood pressure (BP). The W-PMS comprises three sensor modules integrated with a microcontroller to collect the physiological data. The acquired physiological data are processed by the microcontroller to calculate certain parameters such as heart rate and SpO2 level. The acquired data are pushed to the cloud to estimate the BP through an indigenous Android application. The data transmission between the microcontroller and the application occurs via Bluetooth communication. The final results are visualized on a mobile device, enabling users to track their health status. In conclusion, wearable devices incorporating biomedical sensors have the potential to remotely monitor an individual's health condition. © 2024 IEEE.

关键词： Blood pressure

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Fiber optic polarization temperature sensor for biomedical and military security systems 19

Fiber optic polarization temperature sensor for biomedical a...

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conference on smart biomedical and physiological sensor technology xiX

作者： Kyselak, Martin Slavicek, Karel Grenar, David Bohrn, Marek Vavra, Jiri Univ Def Kounicova 65 Brno Czech Republic Masaryk Univ Zerotinovo Nam 617-9 Brno Czech Republic Brno Univ Technol Brno Czech Republic

ISBN: (纸本)9781510651234;9781510651227

The paper deals with the influence of birefringence on the change of polarization and the change of frequency in sensory optical fibers. The aim of the described research was to design and implement a set of measurements that analyze these influences. The article builds on research that has dealt with this issue in the past and offers some simplifications in the design of the measuring station, describes control measurements and analyzes in detail the response of light parameters at the sensor output to changes in temperature. The article presents, compares and discusses the results of intensity changes at individual wavelengths, which demonstrate changes not only in the instantaneous polarization state of light but also changes in wavelengths with maximum light intensity depending on temperature changes. These principles can then be used to advantage with Military, biomedical and physiological sensors Systems.

关键词： optical fibre sensor biomedical sensor military security systems remote sensing defence frequency changes temperature field disturbance optical nonlinearity

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Does glucose affect our vision? A preliminary study using smart glasses

Does glucose affect our vision? A preliminary study using sm...

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2023 IEEE EMBS Special Topic conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Piaseczna, Natalia Doniec, Rafal Sieciński, Szymon Grzegorzek, Marcin Tkacz, Ewaryst Silesian University of Technology Faculty of Biomedical Engineering Department of Biosensors and Processing of Biomedical Signals Roosevelta 40 Zabrze41-800 Poland University of Lübeck Institute of Medical Informatics Ratzeburger Allee 160 Lübeck23562 Germany Fraunhofer Imte Mönkhofer Weg 239a Lübeck23562 Germany

ISBN: (纸本)9798350383386

In this study, we investigate the relationship between blood glucose levels and visual acuity during simulated driving using smart glasses and machine learning. We found compelling correlations between blood glucose levels and visual performance, with a classification accuracy of 98.70%. These results highlight the importance of blood glucose regulation for road safety and human well-being, and the potential of wearable sensor technology to advance our understanding of physiological influences on human performance. © 2023 IEEE.

关键词： Wearable sensors

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