IoT Based Non Invasive Glucometer Using Optical Method

Sunny, Saina; Kumar, S. Phani

doi:10.23956/ijarcsse.v7i9.409

Cited by 1 publication

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“…Various strategies exist to invasively and noninvasively overview the heart rate and inward warmth level. Noninvasive procedures have demonstrated accurate and supportive outcomes for the customers [7], [8]. It is also said to work with health patients [9] to give extraordinary room conditions.…”

Section: Literature Surveymentioning

confidence: 99%

Smart IOT Based Healthcare Monitoring and Decision-Making System Using Augmented Data Recognition Algorithm

Annamalai.M¹

2021

TURCOMAT

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Many medical errors occur because people are in charge of patients or elderly medications by handling large amounts of medications every day. This work consists of designing and establishing a pillbox prototype intended to address this shortcoming in medical areas. It can be used separately from the medication itself and other advanced features provided with this device by the hospital or retirement home. This medication pack aims to take most medications or vitamin supplements or stimulants that deal with over-salting or over-the-counter patients. The proposed smart pillbox contains a program that enables medical caregivers or clients to determine the pill size and timing of pills and service routine each day. In this research work, the Augmented Data Recognition (ADR) algorithm is also used to monitor humans' health conditions. Initially, the UCI dataset is used for training and validation of the proposed ADR algorithm. The heart rate, blood pressure and temperature of the patient have carried during the testing phase via the Internet of Things (IoT) setup. The testing phase estimates any abnormalities in the health status based on the information obtained by the sensor collected by the population structure. Statistical analysis is based on data obtained from a cumulative cloud from IoT devices to estimate percentage accuracy.

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Section: Literature Surveymentioning

confidence: 99%

Smart IOT Based Healthcare Monitoring and Decision-Making System Using Augmented Data Recognition Algorithm

Annamalai.M¹

2021

TURCOMAT

View full text Add to dashboard Cite

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IoT Based Non Invasive Glucometer Using Optical Method

Cited by 1 publication

References 1 publication

Smart IOT Based Healthcare Monitoring and Decision-Making System Using Augmented Data Recognition Algorithm

Smart IOT Based Healthcare Monitoring and Decision-Making System Using Augmented Data Recognition Algorithm

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