Live Demonstration: A Wearable Cardiopulmonary Healthcare System for Real-term Monitoring of Multi-modal Physiological Signals

被引:0
|
作者
Chen, Changyan [1 ,2 ]
Pan, Rui [1 ,2 ]
Huang, Huajie [1 ,2 ]
Jiang, Xuya [1 ,2 ]
Zhang, Qing [1 ,2 ]
Zhang, Yuhang [1 ,2 ]
Zhao, Jian [1 ,2 ]
Li, Yongfu [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Micronano Elect, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, MoE Key Lab Artificial Intelligence, Shanghai, Peoples R China
关键词
D O I
10.1109/ISCAS58744.2024.10558335
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This work introduces an innovative wearable health-care system that offers personalized cardiopulmonary monitoring by continuously capturing a variety of physiological signals. Users can engage with the system to view their own data in real-time, thereby gaining a nuanced understanding of its multi-modal sensing capabilities and the potential for remote health monitoring.
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页数:1
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  • [1] Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype
    Gogate, Mandar
    Hussain, Adeel
    Dashtipour, Kia
    Hussain, Amir
    [J]. 2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS, 2023,
  • [2] Wireless, battery-free, multi-modal sensor system for continuous monitoring of physiological signals of paraplegic patients
    Cho, Seokjoo
    Han, Hyeonseok
    Oh, Yong Suk
    Park, Inkyu
    [J]. 2023 IEEE SENSORS, 2023,
  • [3] HealthGear: A real-time wearable system for monitoring and analyzing physiological signals
    Oliver, Nuria
    Flores-Mangas, Fernando
    [J]. BSN 2006: INTERNATIONAL WORKSHOP ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS, PROCEEDINGS, 2006, : 61 - +
  • [4] Cognitive and Physiological Response for Health Monitoring in an Ageing Population: A Multi-modal System
    Saibene, Aurora
    Gasparini, Francesca
    [J]. INTERNET SCIENCE, INSCI 2019, 2019, 11938 : 341 - 347
  • [5] Mmsd: A Multi-modal Dataset for Real-time, Continuous Stress Detection from Physiological Signals
    Benchekroun, Mouna
    Istrate, Dan
    Zalc, Vincent
    Lenne, Dominique
    [J]. HEALTHINF: PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL 5: HEALTHINF, 2021, : 240 - 248
  • [6] A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications
    Siddharth
    Patel, Aashish N.
    Jung, Tzyy-Ping
    Sejnowski, Terrence J.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 66 (04) : 1137 - 1147
  • [7] Live Demonstration: An AI-edge Platform with Multimodal Wearable Physiological Signals Monitoring Sensors for Affective Computing Applications
    Li, Wei-Chih
    Yang, Cheng-Jie
    Liu, Bo-Ting
    Fang, Wai-Chi
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2021,
  • [8] A Real-Time Wearable Physiological Monitoring System for Home-Based Healthcare Applications
    Jeong, Jin-Woo
    Lee, Woochan
    Kim, Young-Joon
    [J]. SENSORS, 2022, 22 (01)
  • [9] Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals
    Chalumuri, Yekanth Ram
    Kimball, Jacob P.
    Mousavi, Azin
    Zia, Jonathan S.
    Rolfes, Christopher
    Parreira, Jesse D.
    Inan, Omer T.
    Hahn, Jin-Oh
    [J]. SENSORS, 2022, 22 (04)
  • [10] Live Demonstration: A Wireless Multi-channel Physiological Signal Acquisition System-on-Chip for Wearable Devices
    Lin, Yu-Shan
    Lee, Sheng-Cheng
    Chen, Yu-Jui
    Huang, Chia-Ming
    Chiueh, Herming
    [J]. PROCEEDINGS OF 2016 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2016, : 128 - 128