Purpose/Significance: This study on the social support behavior of online smoking cessation community users can provide support for community management personnel to guide user behavior, enrich and deepen the functions of online smoking cessation communities and improve user stickiness, and also provides effective basis for public health workers to develop smoking cessation strategy in online communities. Method/Process: All the posts published in Baidu JieYanBa from August 1, 2018 to October 31, 2018 were gained. 2758 posts from core users were selected. Theme coding was adopted to divide the stage of smoking cessation of the poster. Keywords extraction and co-keywords network analysis were carried out to identify the types of social support and analyze its similarities and differences in different smoking cessation stages. Results: With the development of the smoking cessation stage, the proportion of emotional support and information support is on the rise. Emotional support is the main theme of social support in the preparatory stage, the action stage and the maintenance stage. The types and proportions of social support change regularly at different stages of smoking cessation.
{"title":"Mining User-Generated Content to Identify Social Support in Chinese Online Smoking Cessation Community","authors":"Yuxing Qian, Bingjia Li, Zhizhen Yao, Huakui Lv, Mengnan Che, Zhuo Cheng","doi":"10.1145/3340037.3340055","DOIUrl":"https://doi.org/10.1145/3340037.3340055","url":null,"abstract":"Purpose/Significance: This study on the social support behavior of online smoking cessation community users can provide support for community management personnel to guide user behavior, enrich and deepen the functions of online smoking cessation communities and improve user stickiness, and also provides effective basis for public health workers to develop smoking cessation strategy in online communities. Method/Process: All the posts published in Baidu JieYanBa from August 1, 2018 to October 31, 2018 were gained. 2758 posts from core users were selected. Theme coding was adopted to divide the stage of smoking cessation of the poster. Keywords extraction and co-keywords network analysis were carried out to identify the types of social support and analyze its similarities and differences in different smoking cessation stages. Results: With the development of the smoking cessation stage, the proportion of emotional support and information support is on the rise. Emotional support is the main theme of social support in the preparatory stage, the action stage and the maintenance stage. The types and proportions of social support change regularly at different stages of smoking cessation.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129147343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: To explore the application value of real-time elastography (RTE) in the diagnosis of breast cancer. Methods: Forty patients with breast cancer who were treated by the first hospital of Jilin University were selected. All the patients were diagnosed by RTE and pathology. The pathological diagnosis was used as the gold standard to evaluate the benign and malignant tumors. The receiver operating characteristic curve (ROC curve) was used to evaluate the value of RTE in the diagnosis of breast lesions. Results: Of the 52 lesions, 33 were benign and 19 were malignant. Ratio-max and Ratio-mean were significantly different between the benign and malignant groups (P<0.05). The critical point of Ratio-max for benign and malignant nodules was 3.80, the sensitivity, specificity and accuracy of diagnosis were 84.2%, 78.8% and 80.8%, respectively. The critical point of ratio-mean for benign and malignant nodules was 3.15, the sensitivity, specificity and accuracy of diagnosis were 78.9%, 84.8% and 82.6%, respectively. There was no statistically significant difference between Ratio-mean and Ratio-max (Z=0.673, P<0.05). Conclusion: RTE can better distinguish between benign and malignant breast tumors, and combined with two-dimensional and color Doppler ultrasound diagnostic indicators will further improve the diagnostic accuracy.
{"title":"Application of Real-time Elastic Ultrasound Technology in the Diagnosis of Breast Cancer","authors":"Yang Bai, Guang-hong Han, Xiadong Du","doi":"10.1145/3340037.3340047","DOIUrl":"https://doi.org/10.1145/3340037.3340047","url":null,"abstract":"Objective: To explore the application value of real-time elastography (RTE) in the diagnosis of breast cancer. Methods: Forty patients with breast cancer who were treated by the first hospital of Jilin University were selected. All the patients were diagnosed by RTE and pathology. The pathological diagnosis was used as the gold standard to evaluate the benign and malignant tumors. The receiver operating characteristic curve (ROC curve) was used to evaluate the value of RTE in the diagnosis of breast lesions. Results: Of the 52 lesions, 33 were benign and 19 were malignant. Ratio-max and Ratio-mean were significantly different between the benign and malignant groups (P<0.05). The critical point of Ratio-max for benign and malignant nodules was 3.80, the sensitivity, specificity and accuracy of diagnosis were 84.2%, 78.8% and 80.8%, respectively. The critical point of ratio-mean for benign and malignant nodules was 3.15, the sensitivity, specificity and accuracy of diagnosis were 78.9%, 84.8% and 82.6%, respectively. There was no statistically significant difference between Ratio-mean and Ratio-max (Z=0.673, P<0.05). Conclusion: RTE can better distinguish between benign and malignant breast tumors, and combined with two-dimensional and color Doppler ultrasound diagnostic indicators will further improve the diagnostic accuracy.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133111502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gene expression time series data plays an important role in the field of bioinformatics and data mining, as the analysis of the expression level and time series could detect specific information like gene function and classifications. In this paper, we propose a dynamic gene feature extraction method via visibility graph (VG). It is carried out in four stages: 1) complex networks are constructed from gene time series data; 2) different features are extracted based on the network structure and the specific characteristics of VG algorithm; 3) different classifiers are adopted to analyze gene time series data compared with different feature extraction methods, while, clustering algorithm are applied based on dynamic feature extraction via VG to achieve better performance; 4) different datasets are used to verify our method including clarifying and clustering according to the feature we extract. Abundant experiment results prove the effectiveness of VG method's in extracting the time varying and specific gene features underlying realistic complex gene expression data from time series.
{"title":"DGFE-VG: Dynamic Gene Feature Extraction via Visibility Graph","authors":"Jin-Yin Chen, Zhen Wang, Hai-bin Zheng, Liangying Liu, Ziheng Zhu, Shi-yan Ying, Ying Wei","doi":"10.1145/3340037.3340058","DOIUrl":"https://doi.org/10.1145/3340037.3340058","url":null,"abstract":"Gene expression time series data plays an important role in the field of bioinformatics and data mining, as the analysis of the expression level and time series could detect specific information like gene function and classifications. In this paper, we propose a dynamic gene feature extraction method via visibility graph (VG). It is carried out in four stages: 1) complex networks are constructed from gene time series data; 2) different features are extracted based on the network structure and the specific characteristics of VG algorithm; 3) different classifiers are adopted to analyze gene time series data compared with different feature extraction methods, while, clustering algorithm are applied based on dynamic feature extraction via VG to achieve better performance; 4) different datasets are used to verify our method including clarifying and clustering according to the feature we extract. Abundant experiment results prove the effectiveness of VG method's in extracting the time varying and specific gene features underlying realistic complex gene expression data from time series.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"34 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114066647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective With the abundance of clinical data collection in modern digital hospitals, electronic health records (EHR) has become a tool for clinical and genomic research. In this study, we aim to make an aggregated EHR framework leveraging datasets either within or across consolidated clinical document architecture (C-CDA), and show its primary experiment results in a localized Chinese EHR development. Methods A total 53 templates released by China were integrated for this experiment, the aggregated EHR template construction was based on the existing mature international standards, the three-tier architecture ISO/HL7 CDA R2, and the HL7 RIM model. A series of tools were used in this experiment to integrate data from heterogeneous systems via C-CDA. Results After designing and modeling, the aggregated EHR could be displayed in html on the browser or XSLT-compatible application. The designed aggregated EHR document was composed of five layers such as document, component, section, entry, data element. Conclusions In conclusion, our proposed aggregated EHR in compliance with C-CDA framework could leverage EHR adoption efficiency in the future.
{"title":"The Development of an Aggregated Electronic Health Record in Compliance with Consolidated Clinical Document Architecture","authors":"Yujuan Shang, Huiqun Wu, Kui Jiang","doi":"10.1145/3340037.3340039","DOIUrl":"https://doi.org/10.1145/3340037.3340039","url":null,"abstract":"Objective With the abundance of clinical data collection in modern digital hospitals, electronic health records (EHR) has become a tool for clinical and genomic research. In this study, we aim to make an aggregated EHR framework leveraging datasets either within or across consolidated clinical document architecture (C-CDA), and show its primary experiment results in a localized Chinese EHR development. Methods A total 53 templates released by China were integrated for this experiment, the aggregated EHR template construction was based on the existing mature international standards, the three-tier architecture ISO/HL7 CDA R2, and the HL7 RIM model. A series of tools were used in this experiment to integrate data from heterogeneous systems via C-CDA. Results After designing and modeling, the aggregated EHR could be displayed in html on the browser or XSLT-compatible application. The designed aggregated EHR document was composed of five layers such as document, component, section, entry, data element. Conclusions In conclusion, our proposed aggregated EHR in compliance with C-CDA framework could leverage EHR adoption efficiency in the future.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115954636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anhedonia is a core feature of major depression disorder (MDD), is associated with the dysfunction of the dopamine system. Here, we aimed to examine how resting-state functional connectivity (FC) within the dopamine system in MDD patients is related to anhedonia and whether this relationship relies on specific frequency bands (slow 4: 0.027-0.073 Hz and slow 5: 0.01-0.027 Hz). The regional connectivity strength and FC were evaluated. Our results revealed decreased connectivity strength in MDD in the posterior cingulate cortex and hippocampus at slow 4 and in the anterior insula and hippocampus at slow 5. Of note, increased FC in the mesocorticolimbic system was found in MDD only at slow 5. Furthermore, the altered connectivity at slow 5 contributed to predicting anhedonia symptom and depression severity. These findings suggest that dopamine system functional connectivity remains a prime target for understanding the anhedonia of MDD.
{"title":"Major Depressive Disorder Shows Frequency-specific Abnormal Functional Connectivity Patterns Associated with Anhedonia","authors":"Yajing Pang, Qian Cui, Yifeng Wang, Yuyan Chen, Qi Yang, Huafu Chen","doi":"10.1145/3340037.3340051","DOIUrl":"https://doi.org/10.1145/3340037.3340051","url":null,"abstract":"Anhedonia is a core feature of major depression disorder (MDD), is associated with the dysfunction of the dopamine system. Here, we aimed to examine how resting-state functional connectivity (FC) within the dopamine system in MDD patients is related to anhedonia and whether this relationship relies on specific frequency bands (slow 4: 0.027-0.073 Hz and slow 5: 0.01-0.027 Hz). The regional connectivity strength and FC were evaluated. Our results revealed decreased connectivity strength in MDD in the posterior cingulate cortex and hippocampus at slow 4 and in the anterior insula and hippocampus at slow 5. Of note, increased FC in the mesocorticolimbic system was found in MDD only at slow 5. Furthermore, the altered connectivity at slow 5 contributed to predicting anhedonia symptom and depression severity. These findings suggest that dopamine system functional connectivity remains a prime target for understanding the anhedonia of MDD.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123875907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At present, the development of the medical and health field is deeply concerned and supported by all sectors of society. Through investigation, it was found that although medical institutions in China have a large number of scientific research outputs, there is still problem to achieve intellectual property rights and the conversion rate of scientific and technological achievements is not high. The technological innovation in medical institutions is facing with the dilemma of how to transform of medical science and technology achievements. Through constructing models, model simulation, and results analysis, this paper focuses on exploring the relationship among multi-agent benefit distribution in the process of transforming medical science and technology achievements. This paper also dedicates to explore effective ways to improve medical achievement transformation rate.
{"title":"A Study of the Multi-Agent Benefit Distribution Model in the Transformation of Medical Science and Technology Achievements","authors":"Yang Xu, Q. Fu, Yulan Wu, Ming Gao, Xue Jiang","doi":"10.1145/3340037.3340038","DOIUrl":"https://doi.org/10.1145/3340037.3340038","url":null,"abstract":"At present, the development of the medical and health field is deeply concerned and supported by all sectors of society. Through investigation, it was found that although medical institutions in China have a large number of scientific research outputs, there is still problem to achieve intellectual property rights and the conversion rate of scientific and technological achievements is not high. The technological innovation in medical institutions is facing with the dilemma of how to transform of medical science and technology achievements. Through constructing models, model simulation, and results analysis, this paper focuses on exploring the relationship among multi-agent benefit distribution in the process of transforming medical science and technology achievements. This paper also dedicates to explore effective ways to improve medical achievement transformation rate.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128859190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mingchih Chen, Tian-Shyug Lee, Chi-Jie Lu, Chien-Chang Ho, Ming Gu
We studied the effects of physical fitness performance on happiness in Taiwanese adults. Through the MARS model, we analyzed the impact factors and found that age, smoking, sleep duration, performance of athletic ability and sedentary lifestyle significantly affected happiness
{"title":"Physical Fitness and Happiness Research in Taiwanese Adults","authors":"Mingchih Chen, Tian-Shyug Lee, Chi-Jie Lu, Chien-Chang Ho, Ming Gu","doi":"10.1145/3340037.3340071","DOIUrl":"https://doi.org/10.1145/3340037.3340071","url":null,"abstract":"We studied the effects of physical fitness performance on happiness in Taiwanese adults. Through the MARS model, we analyzed the impact factors and found that age, smoking, sleep duration, performance of athletic ability and sedentary lifestyle significantly affected happiness","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130424410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electronic medical records (EMR) in general provide significant benefits to healthcare organizations and clinicians. However, a major challenge of clinicians who use EMRs is the lowered perceived quality of patient-doctor communication and interaction as a result of doctors being distracted with EMR use during consultations. A unique approach to this problem is through applications that automatically document clinical encounters in real-time. This study aims to develop a speech transcriber plugin for a web-based EMR for real-time clinical encounter documentation. We make use of available speech-to-text services on the web as well as cTAKES for clinical annotation. A draft summary of the clinical encounter is presented to the user in editable SOAP format. Blockchain technology for the speech recording is also explored to secure access to the recording. Internal testings showed that the prototype is able to capture audio conversations into text and parse the transcription for medical concepts. However, after a single formal usability evaluation we found that there is much to be done in terms of the usability of the summarization component.
{"title":"Using cTAKES to Build a Simple Speech Transcriber Plugin for an EMR","authors":"Stephen John Matthew C. Wenceslao, M. R. Estuar","doi":"10.1145/3340037.3340044","DOIUrl":"https://doi.org/10.1145/3340037.3340044","url":null,"abstract":"Electronic medical records (EMR) in general provide significant benefits to healthcare organizations and clinicians. However, a major challenge of clinicians who use EMRs is the lowered perceived quality of patient-doctor communication and interaction as a result of doctors being distracted with EMR use during consultations. A unique approach to this problem is through applications that automatically document clinical encounters in real-time. This study aims to develop a speech transcriber plugin for a web-based EMR for real-time clinical encounter documentation. We make use of available speech-to-text services on the web as well as cTAKES for clinical annotation. A draft summary of the clinical encounter is presented to the user in editable SOAP format. Blockchain technology for the speech recording is also explored to secure access to the recording. Internal testings showed that the prototype is able to capture audio conversations into text and parse the transcription for medical concepts. However, after a single formal usability evaluation we found that there is much to be done in terms of the usability of the summarization component.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chenjie Xu, Shu Li, Xinxi Cao, Yabing Hou, Yaogang Wang
Objective: To analyze whether there is a correlation between the disease burden of two high-risk cardiovascular diseases and the public internet search volumes, and to explore whether there is a regional difference in public search behaviors. Methods: The standard Boolean operators were used to determine the search terms for each cardiovascular disease. Spearman correlation analysis was used to explore the correlation among search index values, incidence and mortality rates of the two cardiovascular diseases. The time series decomposition method was used to extract the seasonality and trend of the search index. Results: The Baidu Index was highly correlated with the incidence and mortality of two cardiovascular diseases in China (coronary heart disease: r = 0.961, P < 0.001, stroke: r = 0.833, P < 0.001). The internet search behavior of cardiovascular disease presents a trend of seasonal fluctuations (increased in winter). The East China region has the largest number of searches for two cardiovascular diseases, and the least in the northeast and northwest regions. Conclusion: Search behavior reflects the public's perception of cardiovascular diseases from a different perspective. Researching internet search behaviors provides an innovative and real-time approach to monitor and estimate the disease burden of cardiovascular disease.
目的:分析两种高危心血管疾病的疾病负担与公众网络搜索量是否存在相关性，并探讨公众搜索行为是否存在地区差异。方法:使用标准布尔运算符确定每种心血管疾病的搜索条件。采用Spearman相关分析探讨两种心血管疾病的搜索指数与发病率和死亡率之间的相关性。采用时间序列分解方法提取搜索指标的季节性和趋势。结果:百度指数与中国两种心血管疾病的发病率和死亡率高度相关(冠心病:r = 0.961, P < 0.001;中风:r = 0.833, P < 0.001)。心血管疾病的网络搜索行为呈现季节性波动趋势(冬季增加)。华东地区对两种心血管疾病的搜索量最大，东北和西北地区最少。结论:搜索行为从不同角度反映了公众对心血管疾病的认知。研究网络搜索行为为监测和评估心血管疾病的疾病负担提供了一种创新和实时的方法。
{"title":"Cardiovascular Incidence, Mortality and Web-Based Data in China","authors":"Chenjie Xu, Shu Li, Xinxi Cao, Yabing Hou, Yaogang Wang","doi":"10.1145/3340037.3340068","DOIUrl":"https://doi.org/10.1145/3340037.3340068","url":null,"abstract":"Objective: To analyze whether there is a correlation between the disease burden of two high-risk cardiovascular diseases and the public internet search volumes, and to explore whether there is a regional difference in public search behaviors. Methods: The standard Boolean operators were used to determine the search terms for each cardiovascular disease. Spearman correlation analysis was used to explore the correlation among search index values, incidence and mortality rates of the two cardiovascular diseases. The time series decomposition method was used to extract the seasonality and trend of the search index. Results: The Baidu Index was highly correlated with the incidence and mortality of two cardiovascular diseases in China (coronary heart disease: r = 0.961, P < 0.001, stroke: r = 0.833, P < 0.001). The internet search behavior of cardiovascular disease presents a trend of seasonal fluctuations (increased in winter). The East China region has the largest number of searches for two cardiovascular diseases, and the least in the northeast and northwest regions. Conclusion: Search behavior reflects the public's perception of cardiovascular diseases from a different perspective. Researching internet search behaviors provides an innovative and real-time approach to monitor and estimate the disease burden of cardiovascular disease.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The photoacoustic imaging is based on the effect of the acoustic response of laser light absorption to avoid the effects of light scattering. The photoacoustic imaging shows the outperformance to compare with traditional ultrasound imaging. However, it is unknown if the photoacoustic effect changes when the laser misalignment on the reticulated piezoelectric ceramic. Our system is mainly composed of hardware and software, including a piezoelectric ceramic, motors, a class III laser diode, relays, and a data acquisition card combined with LabView™ program. The piezoelectric sensor is a 21.9mm by 15.9mm rectangular ceramic with four strip holes in the center. The laser hits several different spots on strip holes of piezoelectric. The total of 6 points are tested to observe if these signals keep consistence. The results demonstrated the laser mis-alignment effect of photoacoustic imaging can be controlled. Finally, the research tested different samples and analyzed by histogram method to obtain the response signals with different features. This research may help to generate photoacoustic features faster and to improve image quality in the future.
{"title":"Histogram Analysis of Photoacoustic Effect Changes on Different Liquid Samples","authors":"Tsu-Wang Shen, Ting-Ku Ou, Chi-Chang Chang","doi":"10.1145/3340037.3340067","DOIUrl":"https://doi.org/10.1145/3340037.3340067","url":null,"abstract":"The photoacoustic imaging is based on the effect of the acoustic response of laser light absorption to avoid the effects of light scattering. The photoacoustic imaging shows the outperformance to compare with traditional ultrasound imaging. However, it is unknown if the photoacoustic effect changes when the laser misalignment on the reticulated piezoelectric ceramic. Our system is mainly composed of hardware and software, including a piezoelectric ceramic, motors, a class III laser diode, relays, and a data acquisition card combined with LabView™ program. The piezoelectric sensor is a 21.9mm by 15.9mm rectangular ceramic with four strip holes in the center. The laser hits several different spots on strip holes of piezoelectric. The total of 6 points are tested to observe if these signals keep consistence. The results demonstrated the laser mis-alignment effect of photoacoustic imaging can be controlled. Finally, the research tested different samples and analyzed by histogram method to obtain the response signals with different features. This research may help to generate photoacoustic features faster and to improve image quality in the future.","PeriodicalId":340774,"journal":{"name":"Proceedings of the 3rd International Conference on Medical and Health Informatics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125377655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：