Cite this DOI
10.46243/jst.2021.v6.i04.pp67-74 · Non-Invasive Blood Glucose Meter
APA (7th edition)
Sheth, M., Jadhav, M., & Deshmukh, S. (2021). Non-Invasive Blood Glucose Meter. *Journal of Science & Technology*, *06*(01), 67–74. https://doi.org/10.46243/jst.2021.v6.i04.pp67-74
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{sheth2021noninvasive,
author = {Sheth, Mahesh and Jadhav, Makarand and Deshmukh, Sunita},
title = {{Non-Invasive Blood Glucose Meter}},
journal = {Journal of Science \& Technology},
year = {2021},
month = {aug},
volume = {06},
number = {01},
pages = {67--74},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2021.v6.i04.pp67-74},
url = {https://doi.org/10.46243/jst.2021.v6.i04.pp67-74},
language = {en},
abstract = {The glucose concentration in the range from 111-330 mg/dl represents a diabetic patient. it causes physical impairment of vital organs. presently, non-invasive blood glucose monitoring device that uses the blood dielectric and impedance properties is becoming popular for diabetes detection. a realistic reusable low-cost non-invasive glucose meter is developed using wi-fi module. it measures glucose level based on the permittivity changes in human blood with sub-carriers. each sub-carrier is spaced with 312.5 khz bandwidth, generating 64 amplitudes and phases is used for channel estimation. a hampel filter is used to suppress abrupt amplitude variations occurring due to the environment effects. the system is trained using ml.net fast forest quantile regression method. the accuracy obtained is around 90\%.}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Non-Invasive Blood Glucose Meter AU - Sheth, Mahesh AU - Jadhav, Makarand AU - Deshmukh, Sunita JO - Journal of Science & Technology PY - 2021 DA - 2021/08/16/ VL - 06 IS - 01 SP - 67 EP - 74 PB - Longman Publishers SN - 2456-5660 LA - en AB - The glucose concentration in the range from 111-330 mg/dl represents a diabetic patient. it causes physical impairment of vital organs. presently, non-invasive blood glucose monitoring device that uses the blood dielectric and impedance properties is becoming popular for diabetes detection. a realistic reusable low-cost non-invasive glucose meter is developed using wi-fi module. it measures glucose level based on the permittivity changes in human blood with sub-carriers. each sub-carrier is spaced with 312.5 khz bandwidth, generating 64 amplitudes and phases is used for channel estimation. a hampel filter is used to suppress abrupt amplitude variations occurring due to the environment effects. the system is trained using ml.net fast forest quantile regression method. the accuracy obtained is around 90%. DO - 10.46243/jst.2021.v6.i04.pp67-74 UR - https://doi.org/10.46243/jst.2021.v6.i04.pp67-74 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp67-74 gives all four in one JSON answer.
