An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services

Chen, Shih-Yeh; Lai, Chin‐Feng; Hwang, Ren-Hung; Lai, Ying-Hsun; Wang, Ming-Shi

doi:10.1007/s10916-015-0343-y

Cited by 9 publications

(10 citation statements)

References 26 publications

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“…The wearable device market is rapidly expanding because of the development of cloud computing, smart sensors, and similar technologies, especially, flexible displays, with great advantages of lower production cost and higher durability, providing a combination of fashion and function12345. Organic light-emitting diodes (OLEDs) are considered as the most promising candidate to produce displays because of the high flexibility of organic materials67.…”

mentioning

confidence: 99%

Low-temperature remote plasma enhanced atomic layer deposition of ZrO2/zircone nanolaminate film for efficient encapsulation of flexible organic light-emitting diodes

Chen

Wang

Xiao

et al. 2017

Sci Rep

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Encapsulation is essential to protect the air-sensitive components of organic light-emitting diodes (OLEDs) such as active layers and cathode electrodes. In this study, hybrid zirconium inorganic/organic nanolaminates were fabricated using remote plasma enhanced atomic layer deposition (PEALD) and molecular layer deposition at a low temperature. The nanolaminate serves as a thin-film encapsulation layer for OLEDs. The reaction mechanism of PEALD process was investigated using an in-situ quartz crystal microbalance (QCM) and in-situ quadrupole mass spectrometer (QMS). The bonds present in the films were determined by Fourier transform infrared spectroscopy. The primary reaction byproducts in PEALD, such as CO, CO2, NO, H2O, as well as the related fragments during the O2 plasma process were characterized using the QMS, indicating a combustion-like reaction process. The self-limiting nature and growth mechanisms of the ZrO2 during the complex surface chemical reaction of the ligand and O2 plasma were monitored using the QCM. The remote PEALD ZrO2/zircone nanolaminate structure prolonged the transmission path of water vapor and smooth surface morphology. Consequently, the water barrier properties were significantly improved (reaching 3.078 × 10−5 g/m2/day). This study also shows that flexible OLEDs can be successfully encapsulated to achieve a significantly longer lifetime.

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mentioning

confidence: 99%

Low-temperature remote plasma enhanced atomic layer deposition of ZrO2/zircone nanolaminate film for efficient encapsulation of flexible organic light-emitting diodes

Chen

Wang

Xiao

et al. 2017

Sci Rep

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“…The air flow speed v 0 calculated by using Equation (4) is shown in Figure 5A Next, w and l of the passageway are estimated by using Equations (5) and (6). The w and l on passageway are required more than 200 μmΦ when we eject or leak air from the hole typically.…”

Section: Determination Of Device Parametermentioning

confidence: 99%

“…Therefore, many researchers have been investigating wearable personal health care monitoring. [5][6][7] During the last decade, related researches and developments on reduction of the public health care costs on aging society have been increased. Many commercial health care goods with a real-time feedback system have been produced to respond to such an increasing demand.…”

Section: Introductionmentioning

confidence: 99%

A new approach for body heat energy harvesting

Tomono

2019

Int J Energy Res

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Summary A new approach for body heat energy harvesting was proposed, and the theoretical performance has been demonstrated for wearable health care sensors as a target. One of the most important issues in the wearable system is a power supply. Humans keep their body temperature constant as long as they are alive. If we use thermal energy effectively, we could get the energy no matter when and where we go. However, thermal energy has hardly been used as power supply because thermoelectric conversion efficiency is very low. Quite different from the conventional thermoelectric device, the new approach uses rotation of turbine by stack effect. The driving force for the turbine is the pressure difference (ΔP) created by stack effect in a closed system. To obtain high performance, the device parameters are optimized by theoretical analysis. The obtained power density is 97.2 mW/cm3 when the outside air temperature is 277.15 K, and the device size is 5 mm × 2 mm × 10 mm. The energy density of the device is five or more times larger than that of a solar cell. The energy device can be assembled directly inside the various kind of wearable health care sensors. Therefore, the new approach for the body heat energy harvesting is a promising power supply means for the wearable system.

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“…Thus, they cannot be applied in WBSNs where the network characteristics are different. For example, energy-efficient routing methods as well as transmission power control and topology control approaches cannot be directly used in WBSNs [9]. Many existing approaches in WBSNs have proposed energy-efficient data collection approaches.…”

Section: Introductionmentioning

confidence: 99%

“…Some have used context-awareness based on activity recognition to perform adaptive sampling or adaptive sensing [8]. Some of them applied these approaches only on WBSNs composed of inertial detection sensor nodes such as accelerometers and gyroscopes [9]. Others suggested adapting the transmission of sensor nodes according to the relevance between symptoms and diseases [10].…”

Section: Introductionmentioning

confidence: 99%

Real-time sampling rate adaptation based on continuous risk level evaluation in wireless body sensor networks

Habib

Makhoul²,

Darazi

et al. 2017

2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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Wireless Body Sensor Networks (WBSNs) are a lowcost solution allowing remote patient monitoring and continuous health assessment, thus reducing healthcare expenditure. In such networks, sensor nodes periodically collect vital signs and send them to the coordinator for fusion. However, sensor nodes have limited energy and processing resources and transmission is the most power-hungry task. In this paper, we target data reduction and energy consumption. We propose to locally adapt, in real-time, the sampling rate of a sensor node according to the variations in the vital sign being monitored and its risk. We propose to dynamically evaluate, in real-time, the risk of any vital sign given the information about the severity level of the patient's health condition and the severity level of the vital sign itself. We have tested our proposed approach on real health datasets in order to evaluate it. The results show that the percentage of detected critical events and the mean-square error (MSE) are both acceptable. In addition, the percentage of data reduction is around 50% implying a reduction of the energy consumption. Adjusting the risk of a vital sign, over time, ensures the adaptation of the sampling rate according to the overall health condition of the patient as well as the severity level of the collected measurements.

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An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services

Cited by 9 publications

References 26 publications

Low-temperature remote plasma enhanced atomic layer deposition of ZrO2/zircone nanolaminate film for efficient encapsulation of flexible organic light-emitting diodes

Low-temperature remote plasma enhanced atomic layer deposition of ZrO2/zircone nanolaminate film for efficient encapsulation of flexible organic light-emitting diodes

A new approach for body heat energy harvesting

Real-time sampling rate adaptation based on continuous risk level evaluation in wireless body sensor networks

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