Pub Date : 2022-01-01DOI: 10.1142/s2737599422500025
Abhishek Kumar, J. J. Anand, B. N. Hemanth Kumar
With the improvement in image processing and using the fact that eye movement can persist even with severe paralysis condition, we have developed a device that enables a severely paralysed patient to communicate. The device developed makes it possible for the patient to communicate in “yes” or “no” with the movement of the eyeball alone. In the proposed work, we have used Raspberry Pi as the main processor and Python as programming tool. A 5-megapixel camera is used to read eye movement, a speaker is used to speak “yes” or “no” for the patient and a normal power bank is used to supply the proposed setup. The designed device is efficient, cost-effective, lightweight, and can easily fit on the head.
{"title":"Intrusive video oculographic device: An eye-gaze-based device for communication","authors":"Abhishek Kumar, J. J. Anand, B. N. Hemanth Kumar","doi":"10.1142/s2737599422500025","DOIUrl":"https://doi.org/10.1142/s2737599422500025","url":null,"abstract":"With the improvement in image processing and using the fact that eye movement can persist even with severe paralysis condition, we have developed a device that enables a severely paralysed patient to communicate. The device developed makes it possible for the patient to communicate in “yes” or “no” with the movement of the eyeball alone. In the proposed work, we have used Raspberry Pi as the main processor and Python as programming tool. A 5-megapixel camera is used to read eye movement, a speaker is used to speak “yes” or “no” for the patient and a normal power bank is used to supply the proposed setup. The designed device is efficient, cost-effective, lightweight, and can easily fit on the head.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76107788","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 : 2022-01-01DOI: 10.1142/s2737599422400035
M. Alam, Ajanta Saha, Marco Fratus
There is a widely shared and potentially well-justified enthusiasm for autonomous field-deployed (FD) wearable, implantable, and environmental sensors for the continuous monitoring of a variety of chronic conditions, such as diabetes, depression, irritable bowel syndrome, and soil nitrate depletion. These FD sensors are often viewed as miniaturized versions of laboratory-based or point-of-care (POC) biosensors, with the primary focus being on material development and mechanical form factor challenges (e.g., stretchability, flexibility, and biocompatibility). In this article, we highlight that the FD sensors are fundamentally different compared to lab-based or POC sensors. We borrow concepts from biology (e.g., bacteria) to quantify the fundamental challenges inherent to such sensors and strategies to overcome them.
{"title":"Reliable sensing with unreliable sensors: Rethinking the theoretical foundation of field-deployed wearable/implantable/environmental sensors","authors":"M. Alam, Ajanta Saha, Marco Fratus","doi":"10.1142/s2737599422400035","DOIUrl":"https://doi.org/10.1142/s2737599422400035","url":null,"abstract":"There is a widely shared and potentially well-justified enthusiasm for autonomous field-deployed (FD) wearable, implantable, and environmental sensors for the continuous monitoring of a variety of chronic conditions, such as diabetes, depression, irritable bowel syndrome, and soil nitrate depletion. These FD sensors are often viewed as miniaturized versions of laboratory-based or point-of-care (POC) biosensors, with the primary focus being on material development and mechanical form factor challenges (e.g., stretchability, flexibility, and biocompatibility). In this article, we highlight that the FD sensors are fundamentally different compared to lab-based or POC sensors. We borrow concepts from biology (e.g., bacteria) to quantify the fundamental challenges inherent to such sensors and strategies to overcome them.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85682484","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 : 2022-01-01DOI: 10.1142/s2737599422500013
Carlo Ciulla
This paper reports additional evidence of the high-pass filtering properties of the intensity-curvature functional (ICF). Magnetic resonance angiography (MRA) of the human brain is used to calculate its ICF. MRA and ICF are direct Z-transformed. The pulsetransfer function (PTF) of the ICF is defined as the inverse Z-transform of the ratio between Z-space of ICF and Z-space of MRA. The image space of PTF is calculated and is direct Z-transformed. MRA is reconstructed through inverse Z-transform of the ratio between Z-space of ICF and Z-space of PTF. MRA reconstruction proves correctness of the approximated approach and adds evidence to the assumption that ICF is a high-pass filter. This research provides two novelties: (1) additional evidence that ICF is a high-pass filter and (2) a medical image processing technique that proves correct that the PTF of a high-pass filter (ICF) can be approximated by the ratio between Z-space of ICF and Z-space of MRA. It follows that MRA can be reconstructed using the inverse Z-transform of the ratio between Z-space of ICF and Z-space of PTF.
{"title":"Pulse-transfer function of the intensity-curvature functional: Applications in magnetic resonance angiography of the human brain","authors":"Carlo Ciulla","doi":"10.1142/s2737599422500013","DOIUrl":"https://doi.org/10.1142/s2737599422500013","url":null,"abstract":"This paper reports additional evidence of the high-pass filtering properties of the intensity-curvature functional (ICF). Magnetic resonance angiography (MRA) of the human brain is used to calculate its ICF. MRA and ICF are direct Z-transformed. The pulsetransfer function (PTF) of the ICF is defined as the inverse Z-transform of the ratio between Z-space of ICF and Z-space of MRA. The image space of PTF is calculated and is direct Z-transformed. MRA is reconstructed through inverse Z-transform of the ratio between Z-space of ICF and Z-space of PTF. MRA reconstruction proves correctness of the approximated approach and adds evidence to the assumption that ICF is a high-pass filter. This research provides two novelties: (1) additional evidence that ICF is a high-pass filter and (2) a medical image processing technique that proves correct that the PTF of a high-pass filter (ICF) can be approximated by the ratio between Z-space of ICF and Z-space of MRA. It follows that MRA can be reconstructed using the inverse Z-transform of the ratio between Z-space of ICF and Z-space of PTF.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79265133","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 : 2021-10-13DOI: 10.1142/s2737599420920012
Charmi Chande, Nida Riaz, Andrew House, V. Harbour, Hathija Noor, Monica Torralba, Y. Cheng, Liang Zhenglong, Anh Tong, R. Voronov, S. Basuray
{"title":"Erratum — Universal method for fabricating PDMS microfluidic device using SU8, 3D printing and soft lithography","authors":"Charmi Chande, Nida Riaz, Andrew House, V. Harbour, Hathija Noor, Monica Torralba, Y. Cheng, Liang Zhenglong, Anh Tong, R. Voronov, S. Basuray","doi":"10.1142/s2737599420920012","DOIUrl":"https://doi.org/10.1142/s2737599420920012","url":null,"abstract":"","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89017904","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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