The Biocompatibility of Wireless Power Charging System on Human Neural Cells

Škovierová, Henrieta; Pavelek, Miroslav; Okajčeková, Terézia; Palesova, Janka; Strnádel, Ján; Špánik, Pavol; Halašová, Erika; Frivaldský, Michal

doi:10.3390/app11083611

Cited by 9 publications

(6 citation statements)

References 57 publications

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“…This article is closely related to the previous article of this research group, and will continue the work of improving the quality of the study of nonclinical SCG signals [35]. Also, the work relates to investigations of using wireless sensors and them effective energy consumption [36][37][38]. Direct comparison of a few different models is difficult, it requires a deep understanding of each model.…”

Section: R = 8lµmentioning

confidence: 92%

A Novel Seismocardiogram Mathematical Model for Simplified Adjustment of Adaptive Filter

et al. 2022

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Nonclinical measurements of a seismocardiogram (SCG) can diagnose cardiovascular disease (CVD) at an early stage, when a critical condition has not been reached, and prevents unplanned hospitalization. However, researchers are restricted when it comes to investigating the benefits of SCG signals for moving patients, because the public database does not contain such SCG signals. The analysis of a mathematical model of the seismocardiogram allows the simulation of the heart with cardiovascular disease. Additionally, the developed mathematical model of SCG does not totally replace the real cardio mechanical vibration of the heart. As a result, a seismocardiogram signal of 60 beats per min (bpm) was generated based on the main values of the main artefacts, their duration and acceleration. The resulting signal was processed by finite impulse response (FIR), infinitive impulse response (IRR), and four adaptive filters to obtain optimal signal processing settings. Meanwhile, the optimal filter settings were used to manage the real SCG signals of slowly moving or resting. Therefore, it is possible to validate measured SCG signals and perform advanced scientific research of seismocardiogram. Furthermore, the proposed mathematical model could enable electronic systems to measure the seismocardiogram with more accurate and reliable signal processing, allowing the extraction of more useful artefacts from the SCG signal during any activity.

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Section: R = 8lµmentioning

confidence: 92%

A Novel Seismocardiogram Mathematical Model for Simplified Adjustment of Adaptive Filter

et al. 2022

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“…Bununla birlikte, HA, T98G ve SH-SY5Y'de erken ve geç apoptotik hücre oranlarında azalma saptanmıştır. Ancak nekrotik hücre oranında T98G'de düşüş tespit edilirken, HA ve SH-SY5Y'de artış olduğu rapor edilmiştir 23 .…”

Section: Anneksin-v çAlışma Prosedürüunclassified

5G (6 GHz) Radyofrekans Elektromanyetik Alanın Sıçan Kan Hücrelerinde Canlılık, Apopitotik ve Nekrotik Hücre Oranına Etkisinin Araştırılması

KARAMAZI

Emre

Çetiner

et al. 2023

Arşiv Kaynak Tarama Dergisi

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Hayatın çeşitli alanlarında radyofrekans elektromanyetik alanlara (RF-EMA) maruziyet giderek artmaktadır. Çalışmamızda, 5G (6 GHz, 0.08 W/kg SAR) RF-EMA’nın sıçan kan hücrelerinde canlılık, apoptotik (erken, geç) ve nekrotik oranlarına etkilerini araştırdık. Çalışmamızda, ağırlıkları 250-300g arasında değişen 10 adet Wistar Albino türü erişkin erkek sıçan kullanıldı. RF-EMA uygulama öncesi tüm sıçanlardan kardiyak ponksiyon yöntemi ile kan alınarak (2cc) kontrol grubu olarak seçildi. Aynı sıçanlar özel uygulama kafesine yerleştirilerek 6 hafta boyunca 4 saat/gün 6 GHz RF-EMA’ya maruz bırakıldı. RF-EMA uygulama sonrası aynı sıçanlardan 2.kez kan alımı (2cc) yapılarak radyofrekans radyasyon (RFR) grubu olarak seçildi. Sıçan kan hücrelerinde canlı, erken/geç apopitotik ve nekrotik hücre yüzde oranları anneksin-V kiti kullanılarak flow sitometrik yöntemle analiz edildi. RFR grubunda canlı hücrelerin % oranı, kontrol grubuna kıyasla artış gösterirken, erken apopitotik ve nekrotik hücrelerin % oranları azaldığı ve iki grup arasındaki farklılıkların istatistiksel olarak anlamlı olduğu tespit edildi (p

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“…In particular, most of the modern electronic devices generate EM waves because of their EM induction effect. [ 8,9 ] Noteworthy that the EM induction is analogous to Faraday's magnet–coil experiment. A change in the magnetic flux (measured by the magnetic flux density) while traveling through a coil of wire will cause an electromotive force (EMF).…”

Section: Introductionmentioning

confidence: 99%

Real‐Time Smartphone Charging from Recycled Aluminum Foil–Based Electromagnetic Energy Harvester

Saini¹,

Kumar²,

Mishra³

et al. 2023

Energy Tech

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Harvesting energy from waste resources shows significant potential in low‐power electronics, self‐powered devices, and waste‐energy management. Herein, a possible mechanism is demonstrated to harvest waste electromagnetic (EM) energy produced by the induction heater where recycled aluminum foil is utilized as an energy‐harvester unit. As a consequence, ≈5.34 μW of harvested power is manifested under the operating condition of the induction heater. In this connection, a demonstration of the real‐time calculator operation, 26 blue light‐emitting diode lighting, and smartphone battery charging are presented. It indicates an excellent opportunity to harvest the abundantly available waste EM energy using the recycled and widely used food‐packaging Al foil. Thus, it is expected that the waste EM energy can be utilized to power up consumer electronic appliances.

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The Biocompatibility of Wireless Power Charging System on Human Neural Cells

Cited by 9 publications

References 57 publications

A Novel Seismocardiogram Mathematical Model for Simplified Adjustment of Adaptive Filter

A Novel Seismocardiogram Mathematical Model for Simplified Adjustment of Adaptive Filter

5G (6 GHz) Radyofrekans Elektromanyetik Alanın Sıçan Kan Hücrelerinde Canlılık, Apopitotik ve Nekrotik Hücre Oranına Etkisinin Araştırılması

Real‐Time Smartphone Charging from Recycled Aluminum Foil–Based Electromagnetic Energy Harvester

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