Advanced Sensor Research最新文献_第2页

Smart Hydrogel Sensors for Health Monitoring and Early Warning (Adv. Sensor Res. 9/2024) 用于健康监测和预警的智能水凝胶传感器（传感器研究进展 9/2024）

Advanced Sensor Research Pub Date : 2024-09-10 DOI: 10.1002/adsr.202470026

Kang Wang, Junhui Zhang, Heng Li, Jingzhi Wu, Qiwu Wan, Taiju Chen, Wenjing Liu, Hai Peng, Hong Zhang, Yang Luo

引用次数: 0

Masthead (Adv. Sensor Res. 9/2024) 桅杆头（第 9/2024 号传感器预案）

Advanced Sensor Research Pub Date : 2024-09-10 DOI: 10.1002/adsr.202470027

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Carbon-Based Biosensor in Point of Care Setting 医疗点中的碳基生物传感器

Advanced Sensor Research Pub Date : 2024-09-01 DOI: 10.1002/adsr.202400037

Jiaqi Jin, Jiuchuan Guo, Jinhong Guo, Diangeng Li

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Integrated Microwave Photonic Sensors Based on Microresonators (Adv. Sensor Res. 8/2024) 基于微谐振器的集成微波光子传感器（传感器研究进展 8/2024）

Advanced Sensor Research Pub Date : 2024-08-08 DOI: 10.1002/adsr.202470025

Xiaoyi Tian, Liwei Li, Linh Nguyen, Xiaoke Yi

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Masthead (Adv. Sensor Res. 8/2024) 桅杆头（传感器推进决议 8/2024）

Advanced Sensor Research Pub Date : 2024-08-08 DOI: 10.1002/adsr.202470024

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Development of Kirigami-Patterned Stretchable Tactile Sensor Array with Soft Hinges for Highly Sensitive Force Detection (Adv. Sensor Res. 8/2024) 开发具有软铰链的桐木图案可伸缩触觉传感器阵列，实现高灵敏度力检测（传感器研究进展 8/2024）

Advanced Sensor Research Pub Date : 2024-08-08 DOI: 10.1002/adsr.202470023

Chenhao Mao, Jie Jin, Deqing Mei, Yancheng Wang

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An Untethered Heart Rhythm Monitoring System with Automated AI-Based Arrhythmia Detection for Closed-Loop Experimental Application 用于闭环实验应用的基于人工智能的自动心律失常检测的无系留心律监测系统

Advanced Sensor Research Pub Date : 2024-07-31 DOI: 10.1002/adsr.202400057

Shanliang Deng, Bram L den Ouden, Tim De Coster, Cindy I Bart, Wilhelmina H Bax, René H Poelma, Antoine AF de Vries, Guo Qi Zhang, Vincent Portero, Daniël A Pijnappels

{"title":"An Untethered Heart Rhythm Monitoring System with Automated AI-Based Arrhythmia Detection for Closed-Loop Experimental Application","authors":"Shanliang Deng, Bram L den Ouden, Tim De Coster, Cindy I Bart, Wilhelmina H Bax, René H Poelma, Antoine AF de Vries, Guo Qi Zhang, Vincent Portero, Daniël A Pijnappels","doi":"10.1002/adsr.202400057","DOIUrl":"https://doi.org/10.1002/adsr.202400057","url":null,"abstract":"The heart produces bioelectrical signals, which can be measured as an electrocardiogram (ECG) for the detection of rhythm disturbances. Rapid and precise detection of these arrhythmias is crucial for their termination by closed-looped therapeutic interventions to counteract detrimental effects. However, there is a current lack of such systems tailored for experimental cardiovascular applications. This hampers not only in-depth mechanistic studies but also translational testing of new therapeutic strategies, especially in an untethered manner in awake animal models. To break new ground, recent advances to develop a non-invasive AI-supported heart rhythm monitoring system for untethered automated arrhythmia detection in a continuous manner is combined. This system is housed in a lightweight jacket for mobile use and includes an on-skin ECG sensor, a low-power microprocessor unit, a massive data storage unit, and a power-management system. By implementing a novel hybrid algorithm based on so-called heart rate (R-R) variability and a case-specific AI model, 100% sensitivity and 95% specificity is achieved in detecting atrial arrhythmias within 2 s upon initiation in adult rats. Thereby, the novel system sets the stage for advanced mechanistic studies and therapeutic testing, including closed-loop applications aiming for the termination of a broad range of atrial arrhythmias.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"3 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flexible Tribo-Enhanced Piezoelectric Nanogenerator Based on Aluminium Ferrite Electrospun Hybrid Nanofibers for Energy Harvesting and Patient Rehabilitation Application 基于铝铁氧体电纺混合纳米纤维的柔性三相增强压电纳米发电机，用于能量收集和患者康复应用

Advanced Sensor Research Pub Date : 2024-07-29 DOI: 10.1002/adsr.202400023

Nishat Kumar Das, Sushmee Badhulika

{"title":"Flexible Tribo-Enhanced Piezoelectric Nanogenerator Based on Aluminium Ferrite Electrospun Hybrid Nanofibers for Energy Harvesting and Patient Rehabilitation Application","authors":"Nishat Kumar Das, Sushmee Badhulika","doi":"10.1002/adsr.202400023","DOIUrl":"https://doi.org/10.1002/adsr.202400023","url":null,"abstract":"Mechanical energy harvesters have recently emerged as promising options for self-powering sensors and small electronic devices. In this work, aluminum ferrite (AlFeO3)/PVDF hybrid perovskite electrospun nanofiber-based tribo-enhanced piezoelectric nanogenerators (TPENGs) are developed for energy harvesting. The as-fabricated TPENG achieves an average voltage output of 52.3 V and an average current output of 1.23 µA. Additionally, the power density of the TPENG is calculated to be 0.085 W.m−2 at an 80 MΩ external resistance load. A 3D-printed device is fabricated, containing nylon fabric (tribo-positive) as a rotor attached to printed fins, while six (AlFeO3)/PVDF hybrid perovskite electrospun nanofiber piezoelectric nanogenerators (PENGs) wrapped with Kapton tape (tribo-negative) serve as the stator. The three printed fins of the device are moved by a string-based pulley, generating an open circuit voltage of 200 V and a short circuit current of 4.5 µA. The as-fabricated 3D-printed device with TPENGs is used to power small electronics (e.g., LEDs and watch) and an exercise setup, allowing patients to generate power by pulling the attached string, thereby estimating the level of impairment. Integrating energy harvesting into rehabilitation motivates patients to move impaired body parts, enhancing TPENG's application in healthcare as a practical and engaging tool for patient rehabilitation.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"3 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Glucose Sensing in Saliva 唾液中的葡萄糖感应

Advanced Sensor Research Pub Date : 2024-07-29 DOI: 10.1002/adsr.202400065

Jacopo Giaretta, Riccardo Zulli, Theja Prabhakar, Ronil J. Rath, Sina Naficy, Sara Spilimbergo, Paul S. Weiss, Syamak Farajikhah, Fariba Dehghani

引用次数: 0

Passive and Wireless, Ion-Selective Sensor Arrays for Multimineral Comonitoring of Food 用于食品多矿物质监测的无源和无线离子选择性传感器阵列

Advanced Sensor Research Pub Date : 2024-07-29 DOI: 10.1002/adsr.202400054

Lei Li, Fan Ye, Kazi Khurshidi Haque Dia, Alberto Ranier Escobar, Abeed Hasan, Huiting Qin, Jialin Lin, Peter Tseng

{"title":"Passive and Wireless, Ion-Selective Sensor Arrays for Multimineral Comonitoring of Food","authors":"Lei Li, Fan Ye, Kazi Khurshidi Haque Dia, Alberto Ranier Escobar, Abeed Hasan, Huiting Qin, Jialin Lin, Peter Tseng","doi":"10.1002/adsr.202400054","DOIUrl":"https://doi.org/10.1002/adsr.202400054","url":null,"abstract":"Ion consumption plays key roles in maintaining bodily homeostasis and health. Here passive wireless, multimineral comonitoring arrays are studied that may potentially be utilized for emerging applications in precision nutrition. RF biosensors targeting select minerals (calcium or magnesium demonstrated herein) are built from integrating ion-selective membranes within a broadside-coupled split ring resonator architecture. RF sensors are typically monitored one at a time and such platforms often are incapable of comeasuring multiple confounding components. To address this challenge, this sensor arrays are further directly integrated alongside a conformal, custom readout coil that optimizes multi-RF sensor readout. Such optimized networks exhibit enhanced signal clarity, further facilitating coextraction of multiple ion components. A simple method of extracting multimineral concentrations from food even despite the imperfect selectivity of divalent ion-selective membranes is introduced. This passive wireless, zero-electronic ion-monitoring platform integrates seamlessly on foodware or packaging, possessing many applications in food measurement.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"3 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0