Pub Date : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967056
Brian Sang, H. Wen, Pranav Gupta, Arash Shokouhmand, Samiha Khan, J. Puma, Amisha Patel, Philip Green, Negar Tavassolian, Farrokh Ayazi
Second heart sound (S2) splitting can potentially be used as an indicator for diagnosis of cardiovascular diseases. One example is S2 paradoxical splitting, which can occur when the pulmonic sound (P2) occurs before the aortic sound (A2). However, current means of capturing S2 sounds are not sensitive enough for quantification of A2 and P2. In this paper, we present that S2 's acoustic signatures can be captured accurately using a wearable hermetically sealed sensitive accelerometer contact microphone (ACM) MEMS device. Smoothed Pseudo Wigner-Ville distribution is used to extract the S2 splitting interval. This methodology has been used to capture S2 splitting from patients with varying BMI and used to identify paradoxical splitting from patients with known heart diseases such as aortic stenosis.
{"title":"Detection of Normal and Paradoxical Splitting in Second Heart Sound (S2) using a Wearable Accelerometer Contact Microphone","authors":"Brian Sang, H. Wen, Pranav Gupta, Arash Shokouhmand, Samiha Khan, J. Puma, Amisha Patel, Philip Green, Negar Tavassolian, Farrokh Ayazi","doi":"10.1109/SENSORS52175.2022.9967056","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967056","url":null,"abstract":"Second heart sound (S2) splitting can potentially be used as an indicator for diagnosis of cardiovascular diseases. One example is S2 paradoxical splitting, which can occur when the pulmonic sound (P2) occurs before the aortic sound (A2). However, current means of capturing S2 sounds are not sensitive enough for quantification of A2 and P2. In this paper, we present that S2 's acoustic signatures can be captured accurately using a wearable hermetically sealed sensitive accelerometer contact microphone (ACM) MEMS device. Smoothed Pseudo Wigner-Ville distribution is used to extract the S2 splitting interval. This methodology has been used to capture S2 splitting from patients with varying BMI and used to identify paradoxical splitting from patients with known heart diseases such as aortic stenosis.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132827472","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967215
Ananya Srivastava, Yuanji Tian, A. Bittner, A. Dehé
A macroscopic photoacoustic gas sensing (PAS) system, along with the design considerations, are presented in this paper. The system is based on the indirect PAS principle. The system consists of a black body IR emitter, suitable optical windows for radiation transmission and a highly sensitive detector in the form of a microphone. A first prototype and its optimized version, for the CO2 PAS measurements, are subsequently developed and characterized. The prototypes are used for CO2 concentration measurements in the range of 0–5000 ppm. The length of the whole system is 8–15 cm, with the length of the variable measurement volume 5–12 cm. With the 5 cm long measurement volume, 10 ppm resolution is achieved for the second prototype. With the lock-in integration time of 307 seconds, the theoretical limit of detection (LOD) of 37 ppb is achieved.
{"title":"Design and Characterization of Macroscopic Indirect Photoacoustic Gas Sensor","authors":"Ananya Srivastava, Yuanji Tian, A. Bittner, A. Dehé","doi":"10.1109/SENSORS52175.2022.9967215","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967215","url":null,"abstract":"A macroscopic photoacoustic gas sensing (PAS) system, along with the design considerations, are presented in this paper. The system is based on the indirect PAS principle. The system consists of a black body IR emitter, suitable optical windows for radiation transmission and a highly sensitive detector in the form of a microphone. A first prototype and its optimized version, for the CO2 PAS measurements, are subsequently developed and characterized. The prototypes are used for CO2 concentration measurements in the range of 0–5000 ppm. The length of the whole system is 8–15 cm, with the length of the variable measurement volume 5–12 cm. With the 5 cm long measurement volume, 10 ppm resolution is achieved for the second prototype. With the lock-in integration time of 307 seconds, the theoretical limit of detection (LOD) of 37 ppb is achieved.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133265981","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967119
L. Comella, F. Goldschmidtboeing, Johannes Klueppel, Eiko Hager, P. Woias
Climate change threatens our forest ecosystems. As they provide several social and economic benefits and can mitigate climate change itself, strategies to keep them healthy must be developed. Therefore, in this work, an innovative sensing method is proposed to monitor tree development continuously through two key parameters to model forest growth: Leaf Area Index (LAI) and Photosynthetic Active Radiation (PAR). Outbreaking is the possibility that the newly developed sensor system gives to measure both parameters simultaneously with the same sensor component: the spectral microsensor AS7341. The microsensor, integrated on a compact sensor node, permits automatic measurements over extensive areas, without the need of an operator. It is exclusively powered with solar cells, making it suitable for long-time deployment and over-seasonal measurements. It can be distributed over extensive areas and at different levels of the tree crown. The developed technology permits the continuous acquisition of data opening new possibilities in modeling and monitoring the effect of heat waves and droughts on vegetation in an unprecedented manner.
{"title":"An innovative sensor for the simultaneous measurement of Photosynthetic Active Radiation (PAR) and Leaf Area Index (LAI)","authors":"L. Comella, F. Goldschmidtboeing, Johannes Klueppel, Eiko Hager, P. Woias","doi":"10.1109/SENSORS52175.2022.9967119","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967119","url":null,"abstract":"Climate change threatens our forest ecosystems. As they provide several social and economic benefits and can mitigate climate change itself, strategies to keep them healthy must be developed. Therefore, in this work, an innovative sensing method is proposed to monitor tree development continuously through two key parameters to model forest growth: Leaf Area Index (LAI) and Photosynthetic Active Radiation (PAR). Outbreaking is the possibility that the newly developed sensor system gives to measure both parameters simultaneously with the same sensor component: the spectral microsensor AS7341. The microsensor, integrated on a compact sensor node, permits automatic measurements over extensive areas, without the need of an operator. It is exclusively powered with solar cells, making it suitable for long-time deployment and over-seasonal measurements. It can be distributed over extensive areas and at different levels of the tree crown. The developed technology permits the continuous acquisition of data opening new possibilities in modeling and monitoring the effect of heat waves and droughts on vegetation in an unprecedented manner.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132238897","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967345
Xuran Zhu, Qi Zhang, M. Matlin, Yizheng Chen, Ying Yang, Tingxuan Li, Wenge Zhu, Yongji Wu, Huijuan Zhao, Rich Pollack, Marek Urban, Hai Xiao
This paper presents a plug & play, battery-free, and wireless sensor technology to enable low-cost indoor temperature and humidity measurements for energy-efficient building controls and operations. The proposed technology is based on the method of all-digital sensing, which powers the sensor to operate without on-node signal processing and battery. By integrating the sensor nodes with the radio frequency identification (RFID) technology, the sensor nodes can be wirelessly interrogated in a “plug & play” fashion. The sensing system was experimentally verified in a BACnet based building management system (BMS).
{"title":"All-digital Plug and Play Passive RFID Sensors for Indoor Temperature and Humidity Monitoring","authors":"Xuran Zhu, Qi Zhang, M. Matlin, Yizheng Chen, Ying Yang, Tingxuan Li, Wenge Zhu, Yongji Wu, Huijuan Zhao, Rich Pollack, Marek Urban, Hai Xiao","doi":"10.1109/SENSORS52175.2022.9967345","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967345","url":null,"abstract":"This paper presents a plug & play, battery-free, and wireless sensor technology to enable low-cost indoor temperature and humidity measurements for energy-efficient building controls and operations. The proposed technology is based on the method of all-digital sensing, which powers the sensor to operate without on-node signal processing and battery. By integrating the sensor nodes with the radio frequency identification (RFID) technology, the sensor nodes can be wirelessly interrogated in a “plug & play” fashion. The sensing system was experimentally verified in a BACnet based building management system (BMS).","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133789916","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967199
Si Kuan Thio, Sung-Y. Park
A lab-on-a-smartphone (LOS) presents a portable environmental sensing tool that enables the monitoring of water quality by performing various detection techniques such as smartphone-integrated fluorescence microscopy and portable loop-mediated amplification (LAMP) assays. The LOS can conduct multiple laboratory functions and has experimentally demonstrated (1) automated on-chip water sample processing, (2) on-site fluorescent detection of harmful algae cells, and (3) fecal contamination of water through LAMP assays. The LOS can overcome conventional labor-intensive and time-consuming techniques for the monitoring of microbiological contaminants in environment waters.
{"title":"Lab-on-a-Smartphone (LOS): A smartphone-integrated, optoelectrowetting-driven environmental sensor for on-site detection of water quality","authors":"Si Kuan Thio, Sung-Y. Park","doi":"10.1109/SENSORS52175.2022.9967199","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967199","url":null,"abstract":"A lab-on-a-smartphone (LOS) presents a portable environmental sensing tool that enables the monitoring of water quality by performing various detection techniques such as smartphone-integrated fluorescence microscopy and portable loop-mediated amplification (LAMP) assays. The LOS can conduct multiple laboratory functions and has experimentally demonstrated (1) automated on-chip water sample processing, (2) on-site fluorescent detection of harmful algae cells, and (3) fecal contamination of water through LAMP assays. The LOS can overcome conventional labor-intensive and time-consuming techniques for the monitoring of microbiological contaminants in environment waters.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134614999","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967108
A. Zhang, S. K. Ameri
Here we report a low-modulus, low-motion-artifact (LMLMA) sensor for electrocardiography (ECG) recording. Motion artifacts are one of the most prominent issues of both wet and dry electrophysiological electrodes/sensors. Our soft and stretchable LMLMA sensor shows significantly lower motion artifacts than gold-standard medical grade Ag/ AgCI electrodes This sensor is easy to use, comfortable to wear, waterproof, and fabricated using a low-cost, time-effective, and scalable method. LMLMA sensor is connected to our developed soft and stretchable wearable wireless circuit for long-term mobile ECG recording on personal devices.
{"title":"Low-Modulus, Low-Motion-Artifact Sensor for Biological Signal Recording","authors":"A. Zhang, S. K. Ameri","doi":"10.1109/SENSORS52175.2022.9967108","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967108","url":null,"abstract":"Here we report a low-modulus, low-motion-artifact (LMLMA) sensor for electrocardiography (ECG) recording. Motion artifacts are one of the most prominent issues of both wet and dry electrophysiological electrodes/sensors. Our soft and stretchable LMLMA sensor shows significantly lower motion artifacts than gold-standard medical grade Ag/ AgCI electrodes This sensor is easy to use, comfortable to wear, waterproof, and fabricated using a low-cost, time-effective, and scalable method. LMLMA sensor is connected to our developed soft and stretchable wearable wireless circuit for long-term mobile ECG recording on personal devices.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132072296","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967098
M. Šimić, D. Ambruš, V. Bilas
In this paper, we present a novel approach to metallic object depth estimation using a pulse induction metal detector in combination with an electromagnetic tracking system. A dipole approximation model is used for modeling the spatial response of the metal detector, while 1D-convolutional neural network is employed for depth estimation. The proposed algorithm is experimentally validated in laboratory conditions. Given a single horizontal pass over a metallic object placed within the range (−10.5, −2.5) cm and (−1,1) cm for the $boldsymbol{z}$ and ${boldsymbol{x},boldsymbol{y}}$ coordinates, respectively, the algorithm estimates the depth of the object regardless of its shape, size, and material properties with a mean absolute error $< mathbf{4}.mathbf{5} mathbf{mm}$.
{"title":"Object Depth Estimation From Line-Scan EMI Data Using Machine Learning","authors":"M. Šimić, D. Ambruš, V. Bilas","doi":"10.1109/SENSORS52175.2022.9967098","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967098","url":null,"abstract":"In this paper, we present a novel approach to metallic object depth estimation using a pulse induction metal detector in combination with an electromagnetic tracking system. A dipole approximation model is used for modeling the spatial response of the metal detector, while 1D-convolutional neural network is employed for depth estimation. The proposed algorithm is experimentally validated in laboratory conditions. Given a single horizontal pass over a metallic object placed within the range (−10.5, −2.5) cm and (−1,1) cm for the $boldsymbol{z}$ and ${boldsymbol{x},boldsymbol{y}}$ coordinates, respectively, the algorithm estimates the depth of the object regardless of its shape, size, and material properties with a mean absolute error $< mathbf{4}.mathbf{5} mathbf{mm}$.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740416","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967340
Faisal Ahmed, Miguel Heredia Conde, Paula López Martínez, Thomas Kerstein, B. Buxbaum
Visible light communication (VLC), as a readily available communication technology, can provide a practical and low-cost solution for power-constrained active Time-of-Flight (ToF) imaging in indoor settings. This paper demonstrates a novel passive ToF imaging concept that exploits opportunity illuminators, e.g., VLC sources. This differs from classical ToF methods, in that two parallel sensing channels are used to attain passive 3D imaging. We studied a bistatic geometry using the pulse-based (PB) ToF method. Furthermore, we explored both uniform and non-uniform sampling approaches in the time-shift domain, in order to preserve depth accuracy with a minimal number of noise-contaminated measurements. Using a matched filtering method, we attained a negligible root-mean-square error (RMSE) even for the low signal-to-noise ratio (SNR) of the measurements. We corroborate the proposed framework by conducting the first reported passive-ToF 3D imaging experiments of this kind. Our “proof-of-concept” witnessed the feasibility of VLC-enabled passive ToF, thus opening unprecedented co-design avenues with mainstream optical wireless communication (OWC) variants.
{"title":"Passive 3D Time-of-Flight Imaging leveraging VLC Infrastructure","authors":"Faisal Ahmed, Miguel Heredia Conde, Paula López Martínez, Thomas Kerstein, B. Buxbaum","doi":"10.1109/SENSORS52175.2022.9967340","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967340","url":null,"abstract":"Visible light communication (VLC), as a readily available communication technology, can provide a practical and low-cost solution for power-constrained active Time-of-Flight (ToF) imaging in indoor settings. This paper demonstrates a novel passive ToF imaging concept that exploits opportunity illuminators, e.g., VLC sources. This differs from classical ToF methods, in that two parallel sensing channels are used to attain passive 3D imaging. We studied a bistatic geometry using the pulse-based (PB) ToF method. Furthermore, we explored both uniform and non-uniform sampling approaches in the time-shift domain, in order to preserve depth accuracy with a minimal number of noise-contaminated measurements. Using a matched filtering method, we attained a negligible root-mean-square error (RMSE) even for the low signal-to-noise ratio (SNR) of the measurements. We corroborate the proposed framework by conducting the first reported passive-ToF 3D imaging experiments of this kind. Our “proof-of-concept” witnessed the feasibility of VLC-enabled passive ToF, thus opening unprecedented co-design avenues with mainstream optical wireless communication (OWC) variants.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131834230","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967137
Zhaozhi Chu, Pengfei Yang, Xiaolong Wen, C. Peng
This paper proposes an electric field microsensor (EFM) with self-compensation for sensitivity drift. Different from previous ones, this proposed EFM sensitive structure mainly consists of sensing electrodes and reference electrodes, where the sensing electrodes are designed to measure the electric field, and the reference electrodes are used to monitor the movable structure vibration. According to the reference electrodes output information, the EFM can track the resonant frequency automatically by phase-locked loop circuit and compensate the sensing output signal in real time. Test results show that a linearity of 0.21 % and a total uncertainty of three round trips within 1.34% were achieved in the electric field range of ±18 kV/m. The EFMs' sensitivity drift was within 3.0% in the temperature range of -40~70 °C, showing a good self-compensation performance.
{"title":"An Electric Field Microsensor with Self-compensation for Sensitivity Drift","authors":"Zhaozhi Chu, Pengfei Yang, Xiaolong Wen, C. Peng","doi":"10.1109/SENSORS52175.2022.9967137","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967137","url":null,"abstract":"This paper proposes an electric field microsensor (EFM) with self-compensation for sensitivity drift. Different from previous ones, this proposed EFM sensitive structure mainly consists of sensing electrodes and reference electrodes, where the sensing electrodes are designed to measure the electric field, and the reference electrodes are used to monitor the movable structure vibration. According to the reference electrodes output information, the EFM can track the resonant frequency automatically by phase-locked loop circuit and compensate the sensing output signal in real time. Test results show that a linearity of 0.21 % and a total uncertainty of three round trips within 1.34% were achieved in the electric field range of ±18 kV/m. The EFMs' sensitivity drift was within 3.0% in the temperature range of -40~70 °C, showing a good self-compensation performance.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131942674","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967083
Nazia Rahman, Chang-Hee Won
Tactile imaging sensor determines the tumor's mechanical properties such as size, depth, and Young's modulus based on the principle of total internal reflection of light. To improve the classifying accuracy of the Tactile imaging sensor, we introduce ultrasound signals and estimate the difference in the tumor tactile images. A developed vibro-acoustic tactile imaging sensor was used to classify benign and malignant tumors. We test the developed system on breast tumor phantoms. These vibrated tactile images are analyzed to improve the overall performance of tumor detection.
{"title":"Identifying Benign and Malignant Breast Tumor Using Vibro-acoustic Tactile Imaging Sensor","authors":"Nazia Rahman, Chang-Hee Won","doi":"10.1109/SENSORS52175.2022.9967083","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967083","url":null,"abstract":"Tactile imaging sensor determines the tumor's mechanical properties such as size, depth, and Young's modulus based on the principle of total internal reflection of light. To improve the classifying accuracy of the Tactile imaging sensor, we introduce ultrasound signals and estimate the difference in the tumor tactile images. A developed vibro-acoustic tactile imaging sensor was used to classify benign and malignant tumors. We test the developed system on breast tumor phantoms. These vibrated tactile images are analyzed to improve the overall performance of tumor detection.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"122 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133778605","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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