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  1. Article ; Online: Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement

    Keisuke Edanami / Guanghao Sun

    Data in Brief, Vol 40, Iss , Pp 107724- (2022)

    2022  

    Abstract: Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. ... ...

    Abstract Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. Therefore, in this article, we provide non-contact respiratory and cardiac signal datasets measured using a medical radar and simultaneously measured reference signals using electrocardiogram (ECG) and respiratory belt transducer. The datasets were collected from nine healthy subjects using 24.25 GHz and 10.525 GHz Doppler radars at a physiological laboratory in Japan. Furthermore, we generated MATLAB code to pre-process the signals and calculate the respiratory and heart rates. The datasets generated could be reused by biomedical researchers to investigate the signal-processing algorithm for non-contact vital sign measurement.
    Keywords Biomedical engineering ; Non-contact monitoring ; Medical radar ; Heart rate ; Respiratory rate ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Study on the Autonomous Non-contact Measurement of Biometric Signals.

    Tanizaki, Amon / Sun, Guanghao / Kitano, Keisuke / Hashimoto, Takuya

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2023  Volume 2023, Page(s) 1–4

    Abstract: In this study, we developed a robot that can recognize and track a person, and autonomously measure two biological signals, respiration rate and heart rate, in a non-contact manner. Through experiments, we confirmed that both signals can be measured with ...

    Abstract In this study, we developed a robot that can recognize and track a person, and autonomously measure two biological signals, respiration rate and heart rate, in a non-contact manner. Through experiments, we confirmed that both signals can be measured with high accuracy and that the robot can perform the measurement under conditions similar to those in actual workplaces. We also investigated factors that can affect the accuracy of the non-contact measurement and studied a method to evaluate the reliability of the measured signals.
    MeSH term(s) Humans ; Reproducibility of Results ; Biometry ; Heart Rate ; Respiratory Rate
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Journal Article
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC40787.2023.10340394
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The "Hand as Foot" teaching method in typical vertebral anatomy.

    Piao, Guanghao / Liu, Rui / Zhao, Jianmin / Sun, Kai

    Asian journal of surgery

    2022  Volume 45, Issue 3, Page(s) 945–947

    MeSH term(s) Foot ; Hand ; Humans ; Lower Extremity ; Upper Extremity
    Language English
    Publishing date 2022-01-13
    Publishing country China
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2021.12.035
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Shading Stress at Different Grain Filling Stages Affects Dry Matter and Nitrogen Accumulation and Remobilization in Fresh Waxy Maize.

    Sun, Haohan / Li, Wei / Liang, Yuwen / Li, Guanghao

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 9

    Abstract: Shading stress caused by plum rain season, which overlapped with grain filling process of fresh waxy maize in Southern China, significantly affected crop productivity. In order to investigate the effects of shading at different stages after pollination ... ...

    Abstract Shading stress caused by plum rain season, which overlapped with grain filling process of fresh waxy maize in Southern China, significantly affected crop productivity. In order to investigate the effects of shading at different stages after pollination on the yield, accumulation, and remobilization of dry matter and nitrogen (N) in fresh waxy maize, field experiments were conducted, including shading at 1-7 (Z1), 8-14 (Z2), 15-21 (Z3), and 1-21 (Z4) days after pollination in 2020 and 2021. The results showed that shading reduced the fresh ear and grain yield and increased moisture content in Suyunuo5 (SYN5) and Jingkenuo2000 (JKN2000) compared to natural lighting treatment (CK). The ear yield decrease was more severe in Z4 (43.5%), followed by Z1 (29.7%). Post-silking dry matter and N accumulation and remobilization were decreased under shading stress, and those were lowest in Z4, followed by Z1. The remobilization of pre-silking dry matter and N were increased by shading stress, and the increase was highest in Z4, followed by Z1. The harvest index of dry matter and N was lowest in Z4 and second-lowest in Z1. In conclusion, shading decreased yield by affecting accumulation and remobilization of post-silking dry matter and N, and the impact was more serious when it introduced early during grain filling stage in fresh waxy maize production.
    Language English
    Publishing date 2023-04-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12091742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement

    Edanami, Keisuke / Sun, Guanghao

    Data in Brief. 2022 Feb., v. 40

    2022  

    Abstract: Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. ... ...

    Abstract Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. Therefore, in this article, we provide non-contact respiratory and cardiac signal datasets measured using a medical radar and simultaneously measured reference signals using electrocardiogram (ECG) and respiratory belt transducer. The datasets were collected from nine healthy subjects using 24.25 GHz and 10.525 GHz Doppler radars at a physiological laboratory in Japan. Furthermore, we generated MATLAB code to pre-process the signals and calculate the respiratory and heart rates. The datasets generated could be reused by biomedical researchers to investigate the signal-processing algorithm for non-contact vital sign measurement.
    Keywords Japan ; algorithms ; chest ; data collection ; electrocardiography ; health services ; heart ; heart rate
    Language English
    Dates of publication 2022-02
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 2786545-9
    ISSN 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2021.107724
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement.

    Edanami, Keisuke / Sun, Guanghao

    Data in brief

    2021  Volume 40, Page(s) 107724

    Abstract: Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. ... ...

    Abstract Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. Therefore, in this article, we provide non-contact respiratory and cardiac signal datasets measured using a medical radar and simultaneously measured reference signals using electrocardiogram (ECG) and respiratory belt transducer. The datasets were collected from nine healthy subjects using 24.25 GHz and 10.525 GHz Doppler radars at a physiological laboratory in Japan. Furthermore, we generated MATLAB code to pre-process the signals and calculate the respiratory and heart rates. The datasets generated could be reused by biomedical researchers to investigate the signal-processing algorithm for non-contact vital sign measurement.
    Language English
    Publishing date 2021-12-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2021.107724
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Development of a non-contact 15-second paediatric respiratory rate monitor using microwave radar and its clinical application.

    Katoh, Miyu / Kanazawa, Takeru / Abe, Yoshifusa / Sun, Guanghao / Matsui, Takemi

    Acta paediatrica (Oslo, Norway : 1992)

    2022  Volume 112, Issue 3, Page(s) 493–495

    MeSH term(s) Humans ; Child ; Respiratory Rate ; Microwaves ; Radar ; Monitoring, Physiologic ; Heart Rate ; Algorithms
    Language English
    Publishing date 2022-11-10
    Publishing country Norway
    Document type Letter
    ZDB-ID 203487-6
    ISSN 1651-2227 ; 0365-1436 ; 0803-5253
    ISSN (online) 1651-2227
    ISSN 0365-1436 ; 0803-5253
    DOI 10.1111/apa.16585
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Correction: Follistatin-like 1 protects mesenchymal stem cells from hypoxic damage and enhances their therapeutic efficacy in a mouse myocardial infarction model.

    Shen, Han / Cui, Guanghao / Li, Yanqiong / Ye, Wenxue / Sun, Yimin / Zhang, Zihan / Li, Jingjing / Xu, Guiying / Zeng, Xiansheng / Zhang, Yanxia / Zhang, Wencheng / Huang, Zan / Chen, Weiqian / Shen, Zhenya

    Stem cell research & therapy

    2024  Volume 15, Issue 1, Page(s) 47

    Language English
    Publishing date 2024-02-20
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2548671-8
    ISSN 1757-6512 ; 1757-6512
    ISSN (online) 1757-6512
    ISSN 1757-6512
    DOI 10.1186/s13287-024-03662-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Heavy Metals Contained Within a Pb-Zn Waste Heap Exhibit Selective Association with Microbial Modules as Revealed by Network Analysis.

    Sun, Caili / Wu, Pan / Wang, Guanghao / Kong, Xingjie

    Bulletin of environmental contamination and toxicology

    2022  Volume 109, Issue 6, Page(s) 1067–1074

    Abstract: Heavy metal contamination is a global environmental concern due to its persistence and toxicity. To explore soil microbial interaction mechanisms and their association with heavy metals on a Pb-Zn waste heap, ecological network analysis tools were used ... ...

    Abstract Heavy metal contamination is a global environmental concern due to its persistence and toxicity. To explore soil microbial interaction mechanisms and their association with heavy metals on a Pb-Zn waste heap, ecological network analysis tools were used to analyze high-throughput data in microbiology. The microbial network was divided into several modules, but heavy metals were associated with specific modules. The heavy metal-tolerant module (M2) had a more negative than positive relationship with the heavy metal-mid-tolerant modules (M1 and M3). Tight coupling between fungal and bacterial operational taxonomic units (OTUs) within M2 was critical for module stability and heavy metal bioremediation. Additionally, members within M2 needed to form a positive relationship to cope with heavy metal contamination (As, Pb, Zn, Cu, and Cd). The study provides fundamental information for a deeper understanding of heavy metal bioremediation mechanisms in the Pb-Zn waste heap.
    MeSH term(s) Lead ; Soil Pollutants/analysis ; Metals, Heavy/analysis ; Soil ; Zinc/analysis ; Environmental Monitoring ; China
    Chemical Substances Lead (2P299V784P) ; Soil Pollutants ; Metals, Heavy ; Soil ; Zinc (J41CSQ7QDS)
    Language English
    Publishing date 2022-03-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 6895-0
    ISSN 1432-0800 ; 0007-4861
    ISSN (online) 1432-0800
    ISSN 0007-4861
    DOI 10.1007/s00128-022-03499-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Heavy Metals Contained Within a Pb–Zn Waste Heap Exhibit Selective Association with Microbial Modules as Revealed by Network Analysis

    Sun, Caili / Wu, Pan / Wang, Guanghao / Kong, Xingjie

    Bull Environ Contam Toxicol. 2022 Dec., v. 109, no. 6 p.1067-1074

    2022  

    Abstract: Heavy metal contamination is a global environmental concern due to its persistence and toxicity. To explore soil microbial interaction mechanisms and their association with heavy metals on a Pb–Zn waste heap, ecological network analysis tools were used ... ...

    Abstract Heavy metal contamination is a global environmental concern due to its persistence and toxicity. To explore soil microbial interaction mechanisms and their association with heavy metals on a Pb–Zn waste heap, ecological network analysis tools were used to analyze high-throughput data in microbiology. The microbial network was divided into several modules, but heavy metals were associated with specific modules. The heavy metal-tolerant module (M2) had a more negative than positive relationship with the heavy metal-mid-tolerant modules (M1 and M3). Tight coupling between fungal and bacterial operational taxonomic units (OTUs) within M2 was critical for module stability and heavy metal bioremediation. Additionally, members within M2 needed to form a positive relationship to cope with heavy metal contamination (As, Pb, Zn, Cu, and Cd). The study provides fundamental information for a deeper understanding of heavy metal bioremediation mechanisms in the Pb–Zn waste heap.
    Keywords bioremediation ; bulls ; fungi ; heavy metals ; metal tolerance ; soil ; toxicity ; trophic relationships
    Language English
    Dates of publication 2022-12
    Size p. 1067-1074.
    Publishing place Springer US
    Document type Article ; Online
    ZDB-ID 6895-0
    ISSN 1432-0800 ; 0007-4861
    ISSN (online) 1432-0800
    ISSN 0007-4861
    DOI 10.1007/s00128-022-03499-2
    Database NAL-Catalogue (AGRICOLA)

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