DocumentCode :
1582444
Title :
Effect of Novel Nanoscale Energy Patches on Spectral and Nonlinear Dynamic Features of Heart Rate Variability Signals in Healthy Individuals during Rest and Exercise
Author :
Nazeran, Homer ; Chatalapalli, S. ; Krishnam, Rohit
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX
fYear :
2006
Firstpage :
5563
Lastpage :
5567
Abstract :
LifeWave energy patches are novel nanoscale semiconducting biomolecular antennas, that when placed in the oscillating bioelectromagnetic field of the body, resonate at frequencies in unison with certain biomolecules in the cells and signal specific metabolic pathways to accelerate fat metabolism. As a consequence of accelerated fat burning more cellular energy becomes readily available to support all bodily energy-consuming functions. Heart rate variability refers to the beat-to-beat variation in heart rate (HR) and is modulated largely by the autonomic nervous system via changes in the balance between parasympathetic and sympathetic influences. Since short-term variations in HR reflect sympathetic nervous activity, they provide useful non-invasive markers for assessing autonomic control under various physiologic states and conditions. To evaluate the effect of LifeWave energy patches on HRV signals, pilot data from healthy volunteers were collected under three different conditions during rest and exercise using a BIOPAC system. The HRV signal was derived from pre-processed ECG signals using an enhanced Hilbert transform (EHT) algorithm with built-in missing beat detection capability for reliable QRS detection. Autoregressive (AR) modeling of the HRV signal power spectrum was achieved and different parameters from power spectrum as well as approximate entropy were calculated for comparison. Poincare plots were then used as a visualization tool to highlight the variations in HRV signals before and after exercise under normal conditions and under the influence of placebo and energy patches. In this paper, for the first time, we present the spectral features and approximate entropy of the HRV signals in healthy individuals during rest, exercise, with placebo, and with energy patches. The results demonstrate that LifeWave energy patches have significant and clearly distinguishable effects on these important HRV signal features. These exciting results warrant comprehensi- - ve investigations to study the effects of these energy patches under different physical and health conditions in a large number of subjects in different age groups
Keywords :
Hilbert transforms; biochemistry; biomechanics; cellular biophysics; electrocardiography; entropy; medical signal detection; medical signal processing; molecular biophysics; nanobiotechnology; neurophysiology; semiconductor devices; BIOPAC system; HRV signal power spectrum; LifeWave energy patches; Poincare plots; QRS detection; accelerated fat burning; approximate entropy; autonomic nervous system; autoregressive modeling; beat-to-beat variation; biomolecules; bodily energy-consuming functions; built-in missing beat detection; cellular energy; enhanced Hilbert transform algorithm; exercise state; fat metabolism; healthy individuals; heart rate variability; nanoscale energy patches; nanoscale semiconducting biomolecular antennas; nonlinear dynamic features; oscillating bioelectromagnetic field; parasympathetic state; preprocessed ECG signals; rest state; spectral features; sympathetic influences; Acceleration; Autonomic nervous system; Biochemistry; Electrocardiography; Entropy; Heart rate; Heart rate variability; Molecular biophysics; Resonant frequency; Semiconductivity; LifeWave energy patches; acupuncture points; athletic training aids; bioelectromagnetic field; heart rate variability signal processing; nanoscale molecular antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1615745
Filename :
1615745
Link To Document :
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