Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226779
Jhih-Yu Wang, Ya-Rung Tsai, Ming-Fong Tsai
Although the operation of an honest store can reduce the pressure on farmers’ selling costs, the quality of fruit will gradually decline as the storage time increases. The sales of most fruits can be promoted by reducing prices to stimulate consumers to buy and enjoy them. Since the current selling prices of fruit products in an honest store cannot be dynamically adjusted based on their appearance and quality, this paper proposes the design of a smart fruit quality recognition system, and describes the implementation of a prototype system. The quality recognition system uses a NVIDIA Jetson Nano embedded device as a system integration platform, which is placed in the honest store. Consumers place the fruit they want to buy in the evaluation area of the quality recognition system to obtain a suggested price. The fruit quality recognition system uses a webcam to capture real-time images which are passed to a deep learning image recognition model to identify the quality of the appearance and to complete the proposed price adjustment. This approach can dynamically adjust the price of fruit based on its appearance and quality identification, which can reduce the number of times farmers need to visit the honest store to modify the price.
{"title":"Smart System for the Identification of Fruit Quality and Prototype Implementation of an Honest Store","authors":"Jhih-Yu Wang, Ya-Rung Tsai, Ming-Fong Tsai","doi":"10.1109/ICCE-Taiwan58799.2023.10226779","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226779","url":null,"abstract":"Although the operation of an honest store can reduce the pressure on farmers’ selling costs, the quality of fruit will gradually decline as the storage time increases. The sales of most fruits can be promoted by reducing prices to stimulate consumers to buy and enjoy them. Since the current selling prices of fruit products in an honest store cannot be dynamically adjusted based on their appearance and quality, this paper proposes the design of a smart fruit quality recognition system, and describes the implementation of a prototype system. The quality recognition system uses a NVIDIA Jetson Nano embedded device as a system integration platform, which is placed in the honest store. Consumers place the fruit they want to buy in the evaluation area of the quality recognition system to obtain a suggested price. The fruit quality recognition system uses a webcam to capture real-time images which are passed to a deep learning image recognition model to identify the quality of the appearance and to complete the proposed price adjustment. This approach can dynamically adjust the price of fruit based on its appearance and quality identification, which can reduce the number of times farmers need to visit the honest store to modify the price.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564193","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}
Energy transmission using radio frequency (RF) technology became prominent. Utilizing RF technology, wireless charging vehicles (WCVs) can be employed to recharge the sensors, leading to the development of wireless rechargeable sensor networks. This study divides the WCVs into Recharging WCVs (R-WCVs) and Server WCVs (S-WCVs). The R-WCVs are responsible for recharging the sensors, while the S-WCVs are responsible for recharging the R-WCVs. This paper proposed a hierarchal charging vehicle scheduling (HCVS) algorithm for R-WCVs and S-WCVs, aiming to improve the energy usage efficiency of R-WCVs in each recharging cycle. In addition, this study investigated the relationship between two consecutive recharging cycles of R-WCVs. Experimental studies reveal that the HCVS algorithm yields the best result compared to the literature.
{"title":"Hierarchal Charging Vehicles Scheduling Algorithm in Wireless Rechargeable Sensor Networks","authors":"Bhargavi Dande, Chih-Yung Chang, Yu-Ting Yang, Qiaoyun Zhang","doi":"10.1109/ICCE-Taiwan58799.2023.10226812","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226812","url":null,"abstract":"Energy transmission using radio frequency (RF) technology became prominent. Utilizing RF technology, wireless charging vehicles (WCVs) can be employed to recharge the sensors, leading to the development of wireless rechargeable sensor networks. This study divides the WCVs into Recharging WCVs (R-WCVs) and Server WCVs (S-WCVs). The R-WCVs are responsible for recharging the sensors, while the S-WCVs are responsible for recharging the R-WCVs. This paper proposed a hierarchal charging vehicle scheduling (HCVS) algorithm for R-WCVs and S-WCVs, aiming to improve the energy usage efficiency of R-WCVs in each recharging cycle. In addition, this study investigated the relationship between two consecutive recharging cycles of R-WCVs. Experimental studies reveal that the HCVS algorithm yields the best result compared to the literature.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"756 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133773277","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226619
Jingwen Li, Chuhan Wang, Pengwei Zhang, Ruipeng Gao, Dan Tao
In this paper, we propose a monocular depth ranging method based on a hardware-software integrated system, which composes a deep learning algorithm with a Jetson Nano-based sensor. Firstly, we use the existing model to realize the transformation from single-image to depth map. Secondly, we use the KITTI dataset to fine tune the depth transformation model. Thirdly, we invoke the physical camera and apply the reconstructed model to implement a joint hardware and software robot system. Finally, we conduct a series of experiments to verify the effectiveness of our customized hardware-software system with robot cars.
{"title":"Customized Training and Application of Monocular Depth Ranging for Assisted Driving","authors":"Jingwen Li, Chuhan Wang, Pengwei Zhang, Ruipeng Gao, Dan Tao","doi":"10.1109/ICCE-Taiwan58799.2023.10226619","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226619","url":null,"abstract":"In this paper, we propose a monocular depth ranging method based on a hardware-software integrated system, which composes a deep learning algorithm with a Jetson Nano-based sensor. Firstly, we use the existing model to realize the transformation from single-image to depth map. Secondly, we use the KITTI dataset to fine tune the depth transformation model. Thirdly, we invoke the physical camera and apply the reconstructed model to implement a joint hardware and software robot system. Finally, we conduct a series of experiments to verify the effectiveness of our customized hardware-software system with robot cars.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132669014","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226958
J. Liou, Zong-Xuan Hsieh, Zhi-Yu Lin
Bioelectrical Impedance Sensor Analysis (BISA) measures body composition by passing a small amount of electrical current through a subject's limbs. The water in the body increases, the electrical resistance decreases, and the measured body fat decreases. The Bioelectrical Impedance Sensor Analysis curve can observe the number of corresponding heartbeats. The vertical axis on the distribution graph represents the impedance value of the body. This value is between 33.5~35.5Ω measured on a normal person.
{"title":"Study of Bioelectrical Impedance Sensor Analysis (BISA) During Hemodialysis","authors":"J. Liou, Zong-Xuan Hsieh, Zhi-Yu Lin","doi":"10.1109/ICCE-Taiwan58799.2023.10226958","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226958","url":null,"abstract":"Bioelectrical Impedance Sensor Analysis (BISA) measures body composition by passing a small amount of electrical current through a subject's limbs. The water in the body increases, the electrical resistance decreases, and the measured body fat decreases. The Bioelectrical Impedance Sensor Analysis curve can observe the number of corresponding heartbeats. The vertical axis on the distribution graph represents the impedance value of the body. This value is between 33.5~35.5Ω measured on a normal person.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133147385","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226682
Chun-see Tsao, Po-Chyi Su
Many novel image retargeting algorithms have been proposed to adjust the size of images to suit different display devices while minimizing perceptual distortion. Assessing the quality of retargeted images has become an important task for developing such schemes. In this study, we propose an image retargeting quality assessment method based on the importance of objects in an image. We utilize semantic segmentation to classify pixels and assign them different importance values representing the sensitivity of human eyes to distortion. A visual saliency map is created to better match the subjective perception of humans and is then used in the "Aspect Ratio Similarity" measurement to improve its accuracy. Since human eyes tend to be more sensitive to the information loss in images without prominent foreground objects, we introduce an information loss adjustment strategy for such images. The experimental results demonstrate that the proposed method is effective in evaluating image retargeting algorithms and outperforms existing quality assessment methods.
{"title":"Quality Assessment of Image Retargeting based on Importance of Objects","authors":"Chun-see Tsao, Po-Chyi Su","doi":"10.1109/ICCE-Taiwan58799.2023.10226682","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226682","url":null,"abstract":"Many novel image retargeting algorithms have been proposed to adjust the size of images to suit different display devices while minimizing perceptual distortion. Assessing the quality of retargeted images has become an important task for developing such schemes. In this study, we propose an image retargeting quality assessment method based on the importance of objects in an image. We utilize semantic segmentation to classify pixels and assign them different importance values representing the sensitivity of human eyes to distortion. A visual saliency map is created to better match the subjective perception of humans and is then used in the \"Aspect Ratio Similarity\" measurement to improve its accuracy. Since human eyes tend to be more sensitive to the information loss in images without prominent foreground objects, we introduce an information loss adjustment strategy for such images. The experimental results demonstrate that the proposed method is effective in evaluating image retargeting algorithms and outperforms existing quality assessment methods.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122070649","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226763
S. Young, Yu-Jhih Chu, You-Ru Huang
In this paper, the fabrication of highly sensitivity MSM structure humidity sensor were based on simple one-dimensional zinc oxide nanorod (1-D ZnO NRs) were synthesized with a low cost aqueous solution hydrothermal method for grown on glass substrate. The MSM structure 1-D ZnO NRs humidity sensor devices was labeled for MSM@1-D ZnO. The physical property analysis displayed the surface morphology of the MSM@1-D ZnO. The electrical characteristics analysis results showed that MSM@1-D ZnO demonstrate highly response and sensitivity under different Relative Humidity (RH%) conditions. This paper verify that 1-D ZnO NRs was a potential option for humidity sensor research.
{"title":"Humidity Sensors based on 1-D ZnO nanostructure","authors":"S. Young, Yu-Jhih Chu, You-Ru Huang","doi":"10.1109/ICCE-Taiwan58799.2023.10226763","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226763","url":null,"abstract":"In this paper, the fabrication of highly sensitivity MSM structure humidity sensor were based on simple one-dimensional zinc oxide nanorod (1-D ZnO NRs) were synthesized with a low cost aqueous solution hydrothermal method for grown on glass substrate. The MSM structure 1-D ZnO NRs humidity sensor devices was labeled for MSM@1-D ZnO. The physical property analysis displayed the surface morphology of the MSM@1-D ZnO. The electrical characteristics analysis results showed that MSM@1-D ZnO demonstrate highly response and sensitivity under different Relative Humidity (RH%) conditions. This paper verify that 1-D ZnO NRs was a potential option for humidity sensor research.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"176 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120961877","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226841
Yu-Chiao Kuo, Chieh-Ling Li, Wei-Chih Yin, Chia-Yu Lin
With the progress of technology, most of the entertainment of the younger generation is related to electronic products. People gradually forget traditional games. Red Light, Green Light has ample liquidity that people worldwide know it. Therefore, to bring traditional games back to children’s childhood, we use IoT devices to develop a Red Light, Green Light Game System. This system comprises three modules: an identification module, a distance measurement module, and a notification module. In the identification module, we use the Raspberry Pi equipped with the MediaPipe Pose to detect 33 pose nodes of the human body. Then the model reads the camera image through OpenCV and marks the players’ skeleton position. Finally, we compare the players’ skeleton positions in the front and rear images to determine whether the player has moved. The ultrasonic sensor "HC-SR04" is used in the distance measurement module to measure the distance. The change of the front and rear distances is used to identify whether a player is passing through the finish line. The notification module places the "TM1637" four-digit display and the speaker. It will display the remaining time and play the sounds needed for the game during the gameplay. The proposed game system allows adults to relive their childhood and introduces traditional games to younger generations.
{"title":"Red Light, Green Light Game System based on IoT Devices","authors":"Yu-Chiao Kuo, Chieh-Ling Li, Wei-Chih Yin, Chia-Yu Lin","doi":"10.1109/ICCE-Taiwan58799.2023.10226841","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226841","url":null,"abstract":"With the progress of technology, most of the entertainment of the younger generation is related to electronic products. People gradually forget traditional games. Red Light, Green Light has ample liquidity that people worldwide know it. Therefore, to bring traditional games back to children’s childhood, we use IoT devices to develop a Red Light, Green Light Game System. This system comprises three modules: an identification module, a distance measurement module, and a notification module. In the identification module, we use the Raspberry Pi equipped with the MediaPipe Pose to detect 33 pose nodes of the human body. Then the model reads the camera image through OpenCV and marks the players’ skeleton position. Finally, we compare the players’ skeleton positions in the front and rear images to determine whether the player has moved. The ultrasonic sensor \"HC-SR04\" is used in the distance measurement module to measure the distance. The change of the front and rear distances is used to identify whether a player is passing through the finish line. The notification module places the \"TM1637\" four-digit display and the speaker. It will display the remaining time and play the sounds needed for the game during the gameplay. The proposed game system allows adults to relive their childhood and introduces traditional games to younger generations.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128888","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226620
S. Jusoh, Narmeen Al-Hiyari
Virtual reality (VR) is a simulated experience in a three-dimensional (3D) computer-simulated world. The experience could be similar to real life or completely different. Despite the fact that VR has been cited as a fantastic choice for teaching and training, the existing publications do not specifically demonstrate how to construct training application with VR technology. The purpose of this paper is to present our personal experience in designing and implementing First Aid application on Oculus Quest.
{"title":"VR First Aid: Step by Step Development Process*","authors":"S. Jusoh, Narmeen Al-Hiyari","doi":"10.1109/ICCE-Taiwan58799.2023.10226620","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226620","url":null,"abstract":"Virtual reality (VR) is a simulated experience in a three-dimensional (3D) computer-simulated world. The experience could be similar to real life or completely different. Despite the fact that VR has been cited as a fantastic choice for teaching and training, the existing publications do not specifically demonstrate how to construct training application with VR technology. The purpose of this paper is to present our personal experience in designing and implementing First Aid application on Oculus Quest.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114964792","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226714
Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Y. Shimizu, Shiro Watanabe, K. Hirata, Keisuke Maeda, Takahiro Ogawa, K. Kudo, M. Haseyama
We propose a method to estimate amyloid-β positivity from axial slices of Quantitative Susceptibility Mapping (QSM) considering patient age. Although QSM has received much attention for the early diagnosis of Alzheimer’s disease, the slices reflect not only iron deposition derived from Alzheimer’s disease but also physiological iron deposition due to age. Our method uses both QSM images and patient age to train the model, and thus alleviates the negative effects by referring to iron deposition in patients of similar age. Experimental results show the effectiveness of using both QSM slices and patient age.
{"title":"Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information","authors":"Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Y. Shimizu, Shiro Watanabe, K. Hirata, Keisuke Maeda, Takahiro Ogawa, K. Kudo, M. Haseyama","doi":"10.1109/ICCE-Taiwan58799.2023.10226714","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226714","url":null,"abstract":"We propose a method to estimate amyloid-β positivity from axial slices of Quantitative Susceptibility Mapping (QSM) considering patient age. Although QSM has received much attention for the early diagnosis of Alzheimer’s disease, the slices reflect not only iron deposition derived from Alzheimer’s disease but also physiological iron deposition due to age. Our method uses both QSM images and patient age to train the model, and thus alleviates the negative effects by referring to iron deposition in patients of similar age. Experimental results show the effectiveness of using both QSM slices and patient age.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117077054","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226755
J. Lee, Chun-Chuan Chen, Eric Hsiao-Kuang Wu, S. Yeh, Wei-Jen Wang
Wearable sensors have a significant increase in both research and commercialization as a kind of consumer electronics. In the field of healthy science, wearable sensors provide affordable solutions for massive screening or long tern monitoring, for instance, wearable dry electroencephalography (EEG) for brain and electrocardiogram (ECG) for heart. Human brain and heart are the most important organs and the targets for healthy monitoring. Given that brain and heart sometimes have comorbidities of each other as they are reciprocally connected, it is important to monitor their relations. However, only a few studies addressed the relationships between them under healthy states. This study aims to examine the brain-heart interactions(BHI) under different states, including two different resting states and one attentional state using wearable sensors. Twenty subject were recruited and performed a memory task in a virtual supermarket. Five-channel dry EEG and two-channel ECG were acquired before, during, and after the task. Pearson correlation was employed to analyze the relations between EEG features and heart rate variability (HRV). Two sample t test and machine learning method were employed to analysis the difference between states. We found that higher frequency oscillations in the brain were used to communicate with the heart during the pre-rest state and task state respectively, then switched to lower frequency for resetting the BHI after task. Moreover, the combination of EEG and ECG features can best distinguish the pre and post resting states. Our findings suggest that BHI are dynamic and state-dependent and studying the BHI can provide better understanding of the states in the body to aid the diagnosis and/or treatment for diseases affected both brain and heart.
{"title":"Using wearable sensors to study the brain-heart interactions during attentional and resting states","authors":"J. Lee, Chun-Chuan Chen, Eric Hsiao-Kuang Wu, S. Yeh, Wei-Jen Wang","doi":"10.1109/ICCE-Taiwan58799.2023.10226755","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226755","url":null,"abstract":"Wearable sensors have a significant increase in both research and commercialization as a kind of consumer electronics. In the field of healthy science, wearable sensors provide affordable solutions for massive screening or long tern monitoring, for instance, wearable dry electroencephalography (EEG) for brain and electrocardiogram (ECG) for heart. Human brain and heart are the most important organs and the targets for healthy monitoring. Given that brain and heart sometimes have comorbidities of each other as they are reciprocally connected, it is important to monitor their relations. However, only a few studies addressed the relationships between them under healthy states. This study aims to examine the brain-heart interactions(BHI) under different states, including two different resting states and one attentional state using wearable sensors. Twenty subject were recruited and performed a memory task in a virtual supermarket. Five-channel dry EEG and two-channel ECG were acquired before, during, and after the task. Pearson correlation was employed to analyze the relations between EEG features and heart rate variability (HRV). Two sample t test and machine learning method were employed to analysis the difference between states. We found that higher frequency oscillations in the brain were used to communicate with the heart during the pre-rest state and task state respectively, then switched to lower frequency for resetting the BHI after task. Moreover, the combination of EEG and ECG features can best distinguish the pre and post resting states. Our findings suggest that BHI are dynamic and state-dependent and studying the BHI can provide better understanding of the states in the body to aid the diagnosis and/or treatment for diseases affected both brain and heart.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084013","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}
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