Feasibility study on wireless power transfer for wearable devices

Miyamura, Kikuya; Miyaji, Yuichi; Ohmura, Ren

doi:10.1145/3123021.3123030

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…There are multiple challenges that should be addressed in using the wireless power transfer method as a source of power for wearable devices. One of the challenges is managing and distributing power between multiple wearable devices [19]. In [19], a WPT technique that distributes power from a single or a few sources between items of clothing is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…One of the challenges is managing and distributing power between multiple wearable devices [19]. In [19], a WPT technique that distributes power from a single or a few sources between items of clothing is proposed. The authors also studied the power transfer between a pair of trousers and a shirt and provided three models of resonators attached to fabric on the surface of the clothing.…”

Section: Introductionmentioning

confidence: 99%

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A Printed Wearable Dual-Band Antenna for Wireless Power Transfer

Haerinia

Noghanian

2019

Sensors

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In this work, a dual-band printed planar antenna, operating at two ultra-high frequency bands (2.5 GHz/4.5 GHz), is proposed for wireless power transfer for wearable applications. The receiving antenna is printed on a Kapton polyimide-based flexible substrate, and the transmitting antenna is on FR-4 substrate. The receiver antenna occupies 2.1 cm 2 area. Antennas were simulated using ANSYS HFSS software and the simulation results are compared with the measurement results.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Printed Wearable Dual-Band Antenna for Wireless Power Transfer

Haerinia

Noghanian

2019

Sensors

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“…Equation (9) is derived by substituting Equations (7) and (8) into Equation (5), and the upper equation of Equation (9) can be transformed to Equation (10). Both the transmitter and receiver are in the resonance state, whose frequency is the same as the fundamental component, so the right side of Equation (10) is a real number, and M 2 is also a real number.…”

Section: Estimating the Mutual Inductance And The Load Resistance On mentioning

confidence: 99%

“…The WPT system is also used in biomedical machine applications [5][6][7], and the trouble caused by having to perform the surgery for replacing the battery is avoided. In addition to wireless charging, it is also used as wireless power supply sources for TVs [8], electronic shelf labels [9], wearable electronic products [10][11][12], and various card powers [13].…”

Section: Introductionmentioning

confidence: 99%

A Method of Estimating Mutual Inductance and Load Resistance Using Harmonic Components in Wireless Power Transfer System

et al. 2019

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In general, for the WPT (Wireless Power Transfer) system, as the mutual inductance and load resistance are calculated according to the measured data of both the transmitter and receiver, the wireless communication modules are needed to share data. A method for estimating mutual inductance and load resistance without wireless communication is proposed, based on the fundamental and third harmonic components. The circuit is decomposed with respect to the frequencies, by which the mathematic model is established. The fundamental and harmonic components of the output voltage and current of a high-frequency inverter are found by FFT (Fast Fourier Transform). The experimental WPT system with a SiC power MOSFET is designed, and the effectiveness of the proposed method is verified by the simulation and experiment results. Additional hardware and frequency scanning operation are not needed because of the use of the harmonic components.Generally, the Magnetic Resonance Coupling Wireless Power Transfer (MRC-WPT) system consists of three parts, namely a high-frequency power supply, a coil set (transmitting and receiving coil; some systems may have more than one intermediate coil in the coil set), and a receiver circuit. The coupling coefficient (or mutual inductance) between the coils and the load resistance are directly related to the performance of the system (for example, efficiency, transfer power, etc.) [29][30][31].The measured data of the load voltage and/or current of the receiver are transferred to the transmitter through wireless communication, and these data take part in realizing the constant current, constant voltage, or constant power of the load.In [32,33], the methods for keeping the constant voltage of the load were represented using the communication module. In [34], the method for maintaining the constant voltage and the current of the load was realized using the communication module. It was implied that the relative position between the transmitter and the receiver moved infrequently, and the internal resistance of the battery was very slowly changed when charging the battery of an electric vehicle, then the concept of the weak communication was defined. In spite of the communication environment being unstable, the load resistance and mutual inductance could be derived, but the communication function was not completely removed from the system. Due to the use of the wireless communication module, the power consumption may be increased, and the normal communication function cannot be performed in some severe situations. It is more unacceptable that if only one of the communication modules among the transmitter and the receiver is damaged, the whole WPT system cannot be operated. In [35], a method in which power and data were transferred at the same time through only one coil was proposed.If the load voltage and/or current can be estimated without any measured data of the receiver, the difficulties mentioned above do not need to be considered; while, if the inductance and capacitance of the receiver (L 2 , C ...

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“…Technologies that are poorly understood by the population at large are increasingly being employed to support mHealth prevention and treatment approaches. For example, wireless power transfer is now necessary for charging current health-monitoring smartwatches and wearables [59]; in addition, implantable pacemakers rely on this technology for seamless charging without surgery [3]. NFC devices, which can be used to trigger intervention messaging in particular spaces and environments on mobile devices, rely upon the sending and receipt of radio waves [60].…”

Section: Mobile Health Innovations May Fuel Nocebo Effectsmentioning

confidence: 99%

Understanding and Preventing Health Concerns About Emerging Mobile Health Technologies (Preprint)

Materia¹,

Faasse²,

Smyth³

2019

Preprint

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UNSTRUCTURED New technologies and innovations have often improved population well-being and societal function; however, these are also often initially accompanied by worry and fear. In some cases, such worries can impede, or even prevent entirely, the adoption of the technology. Mobile health (mHealth), a discipline broadly focused on employing ambulatory technologies to improve the affordability, reach, and effectiveness of health promotion and clinical intervention approaches, offers new innovations and opportunities. Despite emerging evidence supporting mHealth efficacy (eg, for improving health outcomes), some individuals have concerns about mHealth technology that may impede scalability, efficacy, and, ultimately, the public health benefits of mHealth. We present a review and conceptual framework to examine these issues, focusing on three overarching themes: biophysiological, psychological, and societal concerns. There are features of mHealth that lead to worries about the potential negative effects on an individual’s health (eg, due to exposure to electromagnetic or radio waves), despite evidence supporting the safety of these technologies. When present, such beliefs can lead to worry that gives rise to the experience of unpleasant and concerning physical symptoms—the nocebo effect. This may represent an important implementational barrier because of apprehension toward beneficial mHealth products (or features thereof, such as wireless charging, wearable or implantable sensors, etc) and may also have broader ramifications (eg, leading to economic, governmental, and legislative actions). In addition to reviewing evidence on these points, we provide a broad three-step model of implementation research in mHealth that focuses on understanding and preventing health concerns to facilitate the safe and effective scalability of mHealth (and that may be generalizable and applied to similar technologies): (1) evaluating and better discerning public perceptions and misperceptions (and how these may differ between populations), (2) developing theory-based public health communication strategies regarding the safety of mHealth, and (3) disseminating this messaging using evidence-based methods. Collectively, these steps converge on reviewing evidence regarding the potential role of worry and nocebo in mHealth and providing a model for understanding and changing attitudes and preventing unfounded negative perceptions related to mHealth technology.

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Feasibility study on wireless power transfer for wearable devices

Cited by 6 publications

References 2 publications

A Printed Wearable Dual-Band Antenna for Wireless Power Transfer

A Printed Wearable Dual-Band Antenna for Wireless Power Transfer

A Method of Estimating Mutual Inductance and Load Resistance Using Harmonic Components in Wireless Power Transfer System

Understanding and Preventing Health Concerns About Emerging Mobile Health Technologies (Preprint)

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