Qihang Li, Wenpeng Wang, Joshua Liu, Amit Jain, Mehran Armand
{"title":"Data-driven Shape Sensing of Continuum Dexterous Manipulators Using Embedded Capacitive Sensor.","authors":"Qihang Li, Wenpeng Wang, Joshua Liu, Amit Jain, Mehran Armand","doi":"10.1109/sensors56945.2023.10324929","DOIUrl":"https://doi.org/10.1109/sensors56945.2023.10324929","url":null,"abstract":"<p><p>We propose a novel inexpensive embedded capacitive sensor (ECS) for sensing the shape of Continuum Dexterous Manipulators (CDMs). Our approach addresses some limitations associated with the prevalent Fiber Bragg Grating (FBG) sensors, such as temperature sensitivity and high production costs. ECSs are calibrated using a vision-based system. The calibration of the ECS is performed by a recurrent neural network that uses the kinematic data collected from the vision-based system along with the uncalibrated data from ECSs. We evaluated the performance on a 3D printed prototype of a cable-driven CDM with multiple markers along its length. Using data from three ECSs along the length of the CDM, we computed the angle and position of its tip with respect to its base and compared the results to the measurements of the visual-based system. We found a 6.6% tip position error normalized to the length of the CDM. The work shows the early feasibility of using ECSs for shape sensing and feedback control of CDMs and discusses potential future improvements.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10994196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140866974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hen-Wei Huang, Philip Rupp, Jack Chen, Abhijay Kemkar, Naitik Khandelwal, Ian Ballinger, Peter Chai, Giovanni Traverso
{"title":"Cost-Effective Solution of Remote Photoplethysmography Capable of Real-Time, Multi-Subject Monitoring with Social Distancing.","authors":"Hen-Wei Huang, Philip Rupp, Jack Chen, Abhijay Kemkar, Naitik Khandelwal, Ian Ballinger, Peter Chai, Giovanni Traverso","doi":"10.1109/sensors52175.2022.9967120","DOIUrl":"https://doi.org/10.1109/sensors52175.2022.9967120","url":null,"abstract":"<p><p>Recent advances in remote-photoplethysmography (rPPG) have enabled the measurement of heart rate (HR), oxygen saturation (SpO<sub>2</sub>), and blood pressure (BP) in a fully contactless manner. These techniques are increasingly applied clinically given a desire to minimize exposure to individuals with infectious symptoms. However, accurate rPPG estimation often leads to heavy loading in computation that either limits its real-time capacity or results in a costly setup. Additionally, acquiring rPPG while maintaining protective distance would require high resolution cameras to ensure adequate pixels coverage for the region of interest, increasing computational burden. Here, we propose a cost-effective platform capable of the real-time, continuous, multi-subject monitoring while maintaining social distancing. The platform is composed of a centralized computing unit and multiple low-cost wireless cameras. We demonstrate that the central computing unit is able to simultaneously handle continuous rPPG monitoring of five subjects with social distancing without compromising the frame rate and rPPG accuracy.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788727/pdf/nihms-1859505.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10497099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ingestible pH Sensing Capsule with Thread-Based Electrochemical Sensors.","authors":"Cihan Asci, Ruben Del-Rio-Ruiz, Atul Sharma, Sameer Sonkusale","doi":"10.1109/sensors52175.2022.9967347","DOIUrl":"10.1109/sensors52175.2022.9967347","url":null,"abstract":"<p><p>Existing techniques for diagnosing gastrointestinal disorders in stomach, small and large intestines, and colon depend on biopsy, endoscopy or colonoscopy methods which are invasive, expensive and time-consuming. In fact, such methods also lack the ability to access large parts of the small intestine. In this article, we demonstrate a smart ingestible biosensing capsule that is capable of monitoring pH activity in small and large intestines. pH is a known biomarker for several gastrointestinal disorders such as inflammatory bowel disease. Functionalized threads utilized as pH sensing mechanism are integrated with front-end readout electronics and 3D-printed case. This paper demonstrates a modular sensing system design that alleviates the sensor fabrication difficulties as well as the overall assembly of the ingestible capsule.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324471/pdf/nihms-1910542.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9796648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hen-Wei Huang, David de Gruijl, Philip Fritz, Abhijay Kemkar, Ian Ballinger, George Selsing, Peter Ray Chai, Giovanni Traverso
{"title":"Encapsulation of Gas Sensors to Operate in the Gastrointestinal Tract for Continuous Monitoring.","authors":"Hen-Wei Huang, David de Gruijl, Philip Fritz, Abhijay Kemkar, Ian Ballinger, George Selsing, Peter Ray Chai, Giovanni Traverso","doi":"10.1109/sensors52175.2022.9967279","DOIUrl":"https://doi.org/10.1109/sensors52175.2022.9967279","url":null,"abstract":"<p><p>Recent advances in ingestible sensors have enabled in situ detection of gastrointestinal (GI) biomarkers which shows great potential in shifting the paradigm of diagnosing GI and systemic diseases. However, the humid, acidic gastric environment is extremely harsh to electrically powered sensors, which limits their capacity for long term, continuous monitoring. Here, we propose an encapsulation approach for a gas sensor integrated into a nasogastric (NG) tube that overcomes chemical corrosion, electrical short, and mechanical collision in a gastric environment to enable continuous gaseous biomarkers monitoring. The coating effects on the sensitivity, signal latency, and repeatability are investigated. Our long-term continuous monitoring in vitro results show that the proposed coating method enables the gas sensors to function reliably and consistently in the simulated GI environment for more than 1 week. The encapsulation is composed of Polycaprolactone (PCL) to protect against mechanical scratching and Parylene C to prevent a sensor from chemical corrosion and electrical short. The average life-time of the sensor with 10 micrometers Parylene coating is about 3.6 days. Increasing the coating thickness to 20 micrometers results in 10.0 days. In terms of repeatability, 10 micrometers and 20 micrometers Parylene C coated sensors have a standard deviation of 1.30% and 2.10% for its within sensor response, and 5.19% and 3.06% between sensors respectively.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783471/pdf/nihms-1859504.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10453800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ashlyn T Young, Vladimir A Pozdin, Michael Daniele
{"title":"In-Line Microelectrode Arrays for Impedance Mapping of Microphysiological Systems.","authors":"Ashlyn T Young, Vladimir A Pozdin, Michael Daniele","doi":"10.1109/sensors47125.2020.9278636","DOIUrl":"https://doi.org/10.1109/sensors47125.2020.9278636","url":null,"abstract":"<p><p>Herein, a 60-electrode array is fabricated down the length of a microchamber for analysis of a microphysiological system. The electrode array is fabricated by standard photolithographic, metallization, and etching techniques. Permutations of 2-wire impedance measurements (10 Hz to 1 MHz) are made along the length of the microchannel using a multiplexer, Gamry potentiostat, and custom Labview code. An impedance \"heat map\" is created via custom algorithms. Spatial resolution and mapping capabilities are exhibited using conductive NaCl solutions and 2D cell culture.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2020 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/sensors47125.2020.9278636","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25547069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dimitri A Lezcano, Iulian I Iordachita, Jin Seob Kim
{"title":"Trajectory Generation of FBG-Sensorized Needles for Insertions into Multi-Layer Tissue.","authors":"Dimitri A Lezcano, Iulian I Iordachita, Jin Seob Kim","doi":"10.1109/sensors47125.2020.9278807","DOIUrl":"https://doi.org/10.1109/sensors47125.2020.9278807","url":null,"abstract":"<p><p>Several models incorporate needle shape prediction, however prediction in multi-layer tissue for complex needle shape remains an issue. In this work, we present a method for trajectory generation of flexible needles that allows for complex curvatures, extending upon a previous sensor-based model. This model combines curvature measurements from fiber Bragg grating (FBG) sensors and the mechanics of an inextensible elastic rod for shape-sensing. We evaluate the method's effectiveness in single- and double-layer isotropic tissue prediction. The results illustrate a valid trajectory generation method accounting for complex curvatures in flexible needles.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2020 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/sensors47125.2020.9278807","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39251120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Niravkumar Patel, Muller Urias, Ali Ebrahimi, Changyan He, Peter Gehlbach, Iulian Iordachita
{"title":"Sclera Force Evaluation During Vitreoretinal Surgeries in Ex Vivo Porcine Eye Model.","authors":"Niravkumar Patel, Muller Urias, Ali Ebrahimi, Changyan He, Peter Gehlbach, Iulian Iordachita","doi":"10.1109/SENSORS43011.2019.8956820","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956820","url":null,"abstract":"<p><p>Vitreoretinal surgery is among the most challenging microsurgical procedures as it requires precise tool manipulation in a constrained environment, while the tool-tissue interaction forces are at the human perception limits. While tool tip forces are certainly important, the scleral forces at the tool insertion ports are also important. Clinicians often rely on these forces to manipulate the eyeball position during surgery. Measuring sclera forces could enable valuable sensory input to avoid tissue damage, especially for a cooperatively controlled robotic assistant that otherwise removes the sensation of these familiar intraoperative forces. Previously, our group has measured sclera forces in phantom experiments. However, to the best of our knowledge, there are no published data measuring scleral forces in biological <i>(ex-vivo/in-vivo)</i> eye models. In this paper, we measured sclera forces in <i>ex-vivo</i> porcine eye model. A Fiber Bragg Grating (FBG) based force sensing instrument with a diameter of ~900 <i>μ</i>m and a resolution of ~1 mN was used to measure the forces while the clinician-subject followed retinal vessels in manual and robot-assisted modes. Analysis of measured forces show that the average sclera force in manual mode was 133.74 mN while in robot-assisted mode was 146.03 mN.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2019 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/SENSORS43011.2019.8956820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37993008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ajay Dangi, Sumit Agrawal, Sudhanshu Tiwari, Shubham Jadhav, Christopher Cheng, Susan Trolier-McKinstry, Rudra Pratap, Sri-Rajasekhar Kothapalli
{"title":"Evaluation of High Frequency Piezoelectric Micromachined Ultrasound Transducers for Photoacoustic Imaging.","authors":"Ajay Dangi, Sumit Agrawal, Sudhanshu Tiwari, Shubham Jadhav, Christopher Cheng, Susan Trolier-McKinstry, Rudra Pratap, Sri-Rajasekhar Kothapalli","doi":"10.1109/ICSENS.2018.8589733","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589733","url":null,"abstract":"<p><p>In this work, the design, fabrication, and characterization of piezoelectric micromachined ultrasound transducer (PMUT) arrays for photoacoustic imaging applications are reported. An 80-element linear PMUT array with each element having 53 PMUT cells of 125 μm cell diameter were fabricated using 650 nm thick lead zirconate titanate (PZT) as the active piezoelectric layer. The PMUTs are designed to operate at ~10 MHz resonant frequency. The PMUT elements are validated for photoacoustic imaging using an agar gel phantom with embedded pencil leads as the imaging target. Photoacoustic A-line response of the targets captured by single PMUT element shows ~7 MHz center frequency with ~4.8 MHz bandwidth. B-mode images reconstructed from A-lines recorded during the linear scanning of a single element clearly imaged all the targets, thus validating the potential of the fabricated PMUTs for photoacoustic imaging.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2018 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICSENS.2018.8589733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37419879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Berk Gonenc, Peter Gehlbach, Russell H Taylor, Iulian Iordachita
{"title":"Safe Tissue Manipulation in Retinal Microsurgery via Motorized Instruments with Force Sensing.","authors":"Berk Gonenc, Peter Gehlbach, Russell H Taylor, Iulian Iordachita","doi":"10.1109/ICSENS.2017.8234070","DOIUrl":"https://doi.org/10.1109/ICSENS.2017.8234070","url":null,"abstract":"<p><p>Retinal microsurgery involves careful manipulation of delicate tissues by applying very small amount of forces most of which lie below the tactile sensory threshold of the surgeons. Membrane peeling is a common task in this domain, where application of excessive peeling forces can easily lead to serious complications, hence needs to be avoided. To quantify tool-tissue interaction forces during retinal microsurgery, various force-sensing tools were developed based on fiber Bragg grating sensors, yet the most beneficial way of using the acquired force information is currently unknown. In this study, using a motorized force-sensing micro-forceps tool, we develop an assistive method that enhances safety during membrane peeling by automatically opening the forceps and releasing the tissue based on the detected peeling forces. Through peeling experiments using bandages, we demonstrate that our method can effectively maintain the peeling force at a safe level even in case of non-homogeneous adhesion properties of the membrane.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2017 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICSENS.2017.8234070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36136129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ankur Gupta, Saurabh Singh, Berk Gonenc, Marin Kobilarov, Iulian Iordachita
{"title":"Toward Sclera-Force-Based Robotic Assistance for Safe Micromanipulation in Vitreoretinal Surgery.","authors":"Ankur Gupta, Saurabh Singh, Berk Gonenc, Marin Kobilarov, Iulian Iordachita","doi":"10.1109/ICSENS.2017.8234019","DOIUrl":"https://doi.org/10.1109/ICSENS.2017.8234019","url":null,"abstract":"<p><p>In vitreoretinal surgery instruments are inserted through the sclera to perform precise surgical maneuvers inside the eyeball, which exceeds typical human capabilities. Robotic assistance can enhance the skills of a novice surgeon, provide guidance during tool manipulation based on the desired behavior defined by expert surgeons' maneuvers, and consequently improve the surgical outcome. This paper presents an experimental study characterizing the safe/desired magnitude of forces between the surgical instrument and the sclera insertion port as a function of the tool insertion depth. We explore two types of regressions, a polynomial and a sum of sines fit, to describe the observed user behavior during our one-user pilot study, based on which a variable admittance control scheme can be implemented to robotically guide other users towards this desired behavior for a safe operation.</p>","PeriodicalId":74503,"journal":{"name":"Proceedings of IEEE Sensors. IEEE International Conference on Sensors","volume":"2017 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICSENS.2017.8234019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36173189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}