Implementation of blood glucose levels monitoring system based on Wireless Body Area Network

Rasyid, M. Udin Harun Al; Saputra, Ferry Astika; Christian, Alexander

doi:10.1109/icce-tw.2016.7521005

Cited by 19 publications

(10 citation statements)

References 4 publications

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“…Table 4 presents the results obtained for the 42 registers recorded during the experimental stage. The true-positive (TP), truenegative (TN), false-positive (FP) and false-negative (FN) results were applied to calculate the positive predictivity (16), negative predictivity (17), sensitivity (18), specificity (19), positive F1 score (20) and negative F1 score (21). Positive and negative refer to the results obtained according to the predictions of stress and relaxation, respectively.…”

Section: Resultsmentioning

confidence: 99%

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A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm

et al. 2020

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This paper proposes a reliable stress and relaxation level estimation algorithm that is implemented in a portable, low-cost hardware device and executed in real time. The main objective of this work is to offer an affordable and ''ready-to-go'' solution for medical and personal environments, in which the detection of the arousal level of a person is crucial. Methods: To achieve meaningful identification of stress and relaxation, a fuzzy algorithm based on expert knowledge is built according to parameters extracted from physiological records. In addition to the heart rate, parameters extracted from the galvanic skin response and breath are employed to extend the results. Moreover, this algorithm achieves accurate results with a restricted computational load and can be implemented in a miniaturized low-cost prototype. The developed solution includes standard and actively shielded electrodes that are connected to an Arduino device for acquisition, while parameter extraction and fuzzy processing are conducted with a more powerful Raspberry Pi board. The proposed solution is validated using real physiological registers from 42 subjects collected using BIOPAC MP36 hardware. Additionally, a real-time acquisition, processing and remote cloud storage service is integrated via IoT wireless technology. Results: Robust identification of stress and relaxation is achieved, with F1 scores of 91.15% and 96.61%, respectively. Moreover, processing is performed using a 20-second sliding window; thus, only a small frame of context is required. Significance: This work presents a reliable solution for identifying stress and relaxation levels in real time, which can lead to the production of low-cost commercial devices for use in medical and personal environments.

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Section: Resultsmentioning

confidence: 99%

“…Several approaches were studied to produce a solution that combines a low-cost platform with wireless implementation [18]- [21]. Considering size, popularity and price, Arduino Micro (18e) and Raspberry Pi Zero (20e) devices have proven to be suitable for a robust and low-cost prototype [14]- [17].…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm

et al. 2020

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“…Further research is required to overcome the limitation of the sensor being exposed to contamination. The sending of glucose estimations has been optimized using a wireless body area network (WBAN) [18]. To verify it, the authors used a commercial sensor and communication via Zigbee.…”

Section: Related Workmentioning

confidence: 99%

An IoT-Based Glucose Monitoring Algorithm to Prevent Diabetes Complications

et al. 2020

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Diabetes mellitus (DM) is a metabolic disorder characterized by blood glucose levels above normal limits. The impact of this disease on the population has increased in recent years. It is already a public health problem worldwide and one of the leading causes of death. Recently, several proposals have been developed for better and regular monitoring of glucose. However, theses proposals do not discard erroneous readings and they are not able to anticipate a critical condition. In this work, we propose an algorithm based on the double moving average supported by an IoT architecture to prevent possible complications in elderly patients. The algorithm uses historical readings to construct a series. Given a number of periods, it is possible to calculate averages of different subsets and trends for the next periods and, in this way, the prognosis is obtained. With the prognosis, it is possible to notify the doctor and relatives in advance about a possible critical condition in the patient. The aim of our work is to validate the architecture and prognosis algorithm used for elderly persons. Tests of the algorithm and the architecture were performed with different readings and it was shown that the system generated corresponding notifications before the glucose values were higher than those defined by the WHO (World Health Organization), thus avoiding unnecessary alarms.

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“…The interference mitigation methods in WBAN such as power control approach, MAC approach, cognitive radio approach, ultra wideband (UWB) approach, and signal processing approach is important to increase data sending reliability [9]. WBAN technology can be used in various fields of application such as health [10][11], transportation [12], military [13], and sport [14][15][16][17].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Hypothermia Symptoms Early Detection With Smart Jacket Based on Wireless Body Area Network

et al. 2020

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Hypothermia is a state where the body cannot balance the body heat due to excessive cold temperature pressure so that there will be loss of heat in the body. The result will be a quickly decreasing body temperature. A condition where a body temperature is less than 35°C and that it is accompanied by a decrease in consciousness may cause a death threat. Hypothermia is more common when climbers perform activities in cold temperatures and strong winds, and when they wear wet clothes. It is not easy for a mountain climber to find out his own body temperature as well as that of his friends and to determine whether the body temperature is safe or affected by hypothermia symptoms. Therefore, this research formed a device to detect hypothermia. It consists of temperature sensor, pulse sensor, and accompanied by heating elements based on wireless body area network (WBAN). This device will connect to the user's smartphone by using Bluetooth, so the user can see the condition of his body, adjust the temperature of the heating element, and make a group of climbers. The experiment result shows that the device can detect hypothermia symptoms and inform these symptoms to the users and groups of mountaineers in WBAN area, and the climbers can be more vigilant in responding to hypothermia so that mortality cases caused by hypothermia can be minimized. INDEX TERMS ehealth, heart rate, hypothermia, temperature, wireless body area network.

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Implementation of blood glucose levels monitoring system based on Wireless Body Area Network

Cited by 19 publications

References 4 publications

A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm

A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm

An IoT-Based Glucose Monitoring Algorithm to Prevent Diabetes Complications

Design and Implementation of Hypothermia Symptoms Early Detection With Smart Jacket Based on Wireless Body Area Network

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