Recent Progress of Biomedical Processor SoC for Wearable Healthcare Application: A Review

Yoshimoto, Masahiko; Izumi, Shintaro

doi:10.1587/transele.2018cdi0001

Cited by 13 publications

(4 citation statements)

References 93 publications

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“…In recent years, with the increasingly widespread application of new energy vehicles, portable wearable devices, and the Internet of Things (IoT) [1,2,3,4] the use of low-power, high-current, and high-efficiency switching power supplies has become the main technology to down-convert the variable battery output voltage to a stable supply for these devices [5,6,7].…”

Section: Introductionmentioning

confidence: 99%

A wide input voltage range DC-DC Buck converter with dynamically modified ZCD circuit

Lin,

Chai,

Fan

et al. 2024

IEICE Electron. Express

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This article proposes a wide input voltage range DC-DC buck converter based on AOT control mode, which can be used in lowpower applications such as the Internet of Things and automotive chips. It includes a zero current detector circuit that dynamically modifies the offset voltage, which can detect the inductor current when the buck circuit is operating in DCM mode. By turning off the power transistor in time, the control loss of the buck circuit can be reduced to improve efficiency. The proposed buck converter is designed using 0.18μm standard CMOS process. When a 12V standard input voltage is used to generate a 5V output voltage, the minimum inductor current can reach about 100uA when the low power transistor is turned off when the load current is in the light load range of 1mA-100mA, and the maximum efficiency can be achieved at light load of 93.7%.

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Section: Introductionmentioning

confidence: 99%

A wide input voltage range DC-DC Buck converter with dynamically modified ZCD circuit

Lin,

Chai,

Fan

et al. 2024

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…So, there is a need for video compression methods to minimize the memory space which is required for storing the videos in video recording systems. 3 But, the use of these techniques is highly computationally complex and requires external memory bandwidth, resulting in substantial power consumption. 4 Video processing involves increasing calculations and an escalation in exterior memory traffic caused by more complex visual systems.…”

Section: Introductionmentioning

confidence: 99%

“…While the display system assists high‐resolution, external memory access requires a large bandwidth, along with a large memory storage space. So, there is a need for video compression methods to minimize the memory space which is required for storing the videos in video recording systems 3 . But, the use of these techniques is highly computationally complex and requires external memory bandwidth, resulting in substantial power consumption 4 .…”

Section: Introductionmentioning

confidence: 99%

Field programmable gate array implementation of an adaptive filtering based noise reduction and enhanced compression technique for healthcare applications

Aruna

Ekambaram

Padmaja

2022

Trans Emerging Tel Tech

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Nowadays, the development of e-health monitoring devices is getting more demand for remote health applications. In addition, cardiovascular diseases is considered the most chronic disease in recent years. So, this requires a fast diagnosis and therapy to clear this issue and requires an information transformation from the patient to the distant hospital. But, it faces many challenges like more energy consumption, data security, storage, and transmission. In addition, the electrocardiogram (ECG) data must be processed in real-time, and the information must have high predictability and lossless compression. So, in this article, an enhanced set partitioning in hierarchical tree decoder with deep belief neural network is developed for ECG compression. Due to an inappropriate channel in telemedicine applications, the ECG signals transmitted through a wireless network are affected by noise. So, fast normalized least mean square (FNLMS) algorithm based adaptive filter is deliberated to eliminate the unwanted noise from the ECG signal. Also, the structure of the FNLMs based adaptive filter is modified by developing a systolic structure to increase the speed of filtering process. Moreover, the parallel and pipelined architecture is provided for the proposed compression unit to reduce the processing time and the area overhead as compared to the existing methods. A publicly available database called the MIT-BIH database and real-time ECG data records are used for simulation purposes. The proposed design was implemented on the Xilinx platform and the MATLAB tool. The performance of the proposed design is estimated by the parameters like compression ratio, signal to noise ratio, root mean square error, and percentage root mean square difference (PRD), PRD normalized, and quality-score. It is compared with existing designs to show the efficiency of our proposed design.

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“…The continuously increasing interest in lightweight and flexible low-power solutions for self-powered mobile electronics and sensors required in the rapidly expanding application sectors such as wearable electronics and implantable health monitoring systems [1][2][3][4][5] has in recent years propelled the research on various local energy harvesting technologies. [6][7][8][9][10] As the potential ubiquitous energy harvesting methods to provide supplemental or backup power, three technologies in particular have been investigated, i.e., thermoelectricity, piezoelectricity, and triboelectricity. Among these technologies, thermoelectricity is an ideal choice for personalized devices, as it can be harnessed to directly convert body heat into electric power.…”

Section: Introductionmentioning

confidence: 99%

Textile‐Integrated ZnO‐Based Thermoelectric Device Using Atomic Layer Deposition

2020

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Herein, a full thermoelectric (TE) device fabricated on textile using atomic layer deposition (ALD) and molecular layer deposition (MLD) thin‐film techniques is demonstrated. The device consists of n‐type ALD‐grown ZnO or ALD/MLD‐grown ZnO‐organic components and p‐type spray/immersion‐coated PEDOT:PSS components. Different fabrication strategies and device designs (vertical and longitudinal) are investigated. The performance is evaluated by measuring the open‐circuit voltage generated by the device over a range of temperature differences (between the hot and cold sides) up to 60 °C. At a fixed ΔT, the voltage generated is found to increase with increasing ZnO or ZnO‐organic film thickness. An attractive feature with both ALD and MLD is that the film grows in a conformal manner on the textile fibers so that the entire textile piece becomes an active part of the device, corresponding to a remarkable coating‐thickness increase. The voltage generated can also be increased by combining more TE pairs (even by just increasing the number of pairs by cutting the TE pads into smaller pieces). This research has thus proven the feasibility of ALD and MLD techniques in combination with a textile substrate in reinforcing the prospects of wearable thermoelectrics.

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Recent Progress of Biomedical Processor SoC for Wearable Healthcare Application: A Review

Cited by 13 publications

References 93 publications

A wide input voltage range DC-DC Buck converter with dynamically modified ZCD circuit

A wide input voltage range DC-DC Buck converter with dynamically modified ZCD circuit

Field programmable gate array implementation of an adaptive filtering based noise reduction and enhanced compression technique for healthcare applications

Textile‐Integrated ZnO‐Based Thermoelectric Device Using Atomic Layer Deposition

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