Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks
High Blood Pressure (HBP) over a long period of time leads to a medical condition known as Hypertension (HTN or HT), in which the arterial blood pressure is persistently inflated. In this research, a blood pressure biosensor has been implemented that monitors the different stages of hypertension by...
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9471849/ |
| _version_ | 1818692239715467264 |
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| author | Shagun Gupta Vipan Kakkar Suhaib Ahmed Farooq Ahmad Khanday Sparsh Sharma Saurabh Singh Byungun Yoon |
| author_facet | Shagun Gupta Vipan Kakkar Suhaib Ahmed Farooq Ahmad Khanday Sparsh Sharma Saurabh Singh Byungun Yoon |
| author_sort | Shagun Gupta |
| collection | DOAJ |
| description | High Blood Pressure (HBP) over a long period of time leads to a medical condition known as Hypertension (HTN or HT), in which the arterial blood pressure is persistently inflated. In this research, a blood pressure biosensor has been implemented that monitors the different stages of hypertension by measuring the varying blood pressure values. Further, a system design has been proposed for the theranostics (combination of diagnosis and therapy) of hypertension. The proposed sensor takes blood pressure as the input, and gives the corresponding electrical signal variations at the output, so as to detect the exact stage of hypertension. The working principle of this BP sensor is based on the electrostatic transduction mechanism. The proposed system aims to design a low-cost, easily available, implantable lab-on-chip (LoC) platform for the continuous measurement of blood pressure by keeping track of the patient history, so as to prevent chronic hypertensive disorders. Further, such an implantable LoC theranostic platform is among the best possible solutions for the e-healthcare systems, owing to its potential in a wireless body area network (WBAN) using Internet of Things (IoT) and other similar technologies. |
| first_indexed | 2024-12-17T12:54:38Z |
| format | Article |
| id | doaj.art-a0c4e5ab4ab94a208df4301b3dd7c115 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T12:54:38Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a0c4e5ab4ab94a208df4301b3dd7c1152022-12-21T21:47:30ZengIEEEIEEE Access2169-35362021-01-019950729508210.1109/ACCESS.2021.30942279471849Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area NetworksShagun Gupta0Vipan Kakkar1https://orcid.org/0000-0001-6127-6981Suhaib Ahmed2https://orcid.org/0000-0003-3496-8856Farooq Ahmad Khanday3https://orcid.org/0000-0002-2514-5703Sparsh Sharma4https://orcid.org/0000-0001-8092-1683Saurabh Singh5https://orcid.org/0000-0003-1118-9569Byungun Yoon6https://orcid.org/0000-0002-1110-4011School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, IndiaSchool of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, IndiaDepartment of Electronics and Communication Engineering, Baba Ghulam Shah Badshah University, Rajouri, IndiaPost Graduate Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, IndiaDepartment of Computer Science and Engineering, National Institute of Technology, Srinagar, IndiaDepartment of Industrial and Systems, Dongguk University, Seoul, South KoreaDepartment of Industrial and Systems, Dongguk University, Seoul, South KoreaHigh Blood Pressure (HBP) over a long period of time leads to a medical condition known as Hypertension (HTN or HT), in which the arterial blood pressure is persistently inflated. In this research, a blood pressure biosensor has been implemented that monitors the different stages of hypertension by measuring the varying blood pressure values. Further, a system design has been proposed for the theranostics (combination of diagnosis and therapy) of hypertension. The proposed sensor takes blood pressure as the input, and gives the corresponding electrical signal variations at the output, so as to detect the exact stage of hypertension. The working principle of this BP sensor is based on the electrostatic transduction mechanism. The proposed system aims to design a low-cost, easily available, implantable lab-on-chip (LoC) platform for the continuous measurement of blood pressure by keeping track of the patient history, so as to prevent chronic hypertensive disorders. Further, such an implantable LoC theranostic platform is among the best possible solutions for the e-healthcare systems, owing to its potential in a wireless body area network (WBAN) using Internet of Things (IoT) and other similar technologies.https://ieeexplore.ieee.org/document/9471849/Lab-on-chipimplantable deviceshypertensionblood pressure biosensorIoT |
| spellingShingle | Shagun Gupta Vipan Kakkar Suhaib Ahmed Farooq Ahmad Khanday Sparsh Sharma Saurabh Singh Byungun Yoon Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks IEEE Access Lab-on-chip implantable devices hypertension blood pressure biosensor IoT |
| title | Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks |
| title_full | Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks |
| title_fullStr | Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks |
| title_full_unstemmed | Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks |
| title_short | Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks |
| title_sort | modeling of on chip biosensor for the in vivo diagnosis of hypertension in wireless body area networks |
| topic | Lab-on-chip implantable devices hypertension blood pressure biosensor IoT |
| url | https://ieeexplore.ieee.org/document/9471849/ |
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