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外部低能量电磁场影响心脏动力学:系统同步、混沌控制及癌症患者健康的替代指标

External low energy electromagnetic fields affect heart dynamics: surrogate for system synchronization, chaos control and cancer patient's health.

作者信息

Costa Frederico P, Tuszynski Jack, Iemma Antonio F, Trevizan Willian A, Wiedenmann Bertram, Schöll Eckehard

机构信息

Oncology Department, Hospital Sírio Libanês, São Paulo, Brazil.

Dipartimento di Ingegneria Meccanica e Aerospaziale, Politecnico di Torino, Turin, Italy.

出版信息

Front Netw Physiol. 2025 Jan 3;4:1525135. doi: 10.3389/fnetp.2024.1525135. eCollection 2024.

Abstract

All cells in the human body, including cancer cells, possess specific electrical properties crucial for their functions. These properties are notably different between normal and cancerous cells. Cancer cells are characterized by autonomous oscillations and damped electromagnetic field (EMF) activation. Cancer reduces physiological variability, implying a systemic disconnection that desynchronizes bodily systems and their inherent random processes. The dynamics of heart rate, in this context, could reflect global physiological network instability in the sense of entrainment. Using a medical device that employs an active closed-loop system, such as administering specifically modulated EMF frequencies at targeted intervals and at low energies, we can evaluate the periodic oscillations of the heart. This procedure serves as a closed-loop control mechanism leading to a temporary alteration in plasma membrane ionic flow and the heart's periodic oscillation dynamics. The understanding of this phenomenon is supported by computer simulations of a mathematical model, which are validated by experimental data. Heart dynamics can be quantified using difference logistic equations, and it correlates with improved overall survival rates in cancer patients.

摘要

人体内的所有细胞,包括癌细胞,都具有对其功能至关重要的特定电特性。这些特性在正常细胞和癌细胞之间存在显著差异。癌细胞的特征是自主振荡和衰减电磁场(EMF)激活。癌症会降低生理变异性,这意味着存在一种系统性的脱节,使身体各系统及其固有的随机过程失去同步。在这种情况下,心率动态可以在同步意义上反映全球生理网络的不稳定性。使用一种采用主动闭环系统的医疗设备,例如以 targeted 间隔和低能量施用特定调制的 EMF 频率,我们可以评估心脏的周期性振荡。这个过程作为一种闭环控制机制,导致质膜离子流和心脏周期性振荡动态的暂时改变。对这一现象的理解得到了数学模型计算机模拟的支持,这些模拟由实验数据验证。心脏动态可以使用差分逻辑方程进行量化,并且它与癌症患者总体生存率的提高相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61af/11739291/de3b75f3350a/fnetp-04-1525135-g001.jpg

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