東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Application of Statistical Physics i...

Bohara, Gyanendra.

FindBook

Google Book

Amazon

博客來

Application of Statistical Physics in Human Physiology: Heart-Brain Dynamics.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of Statistical Physics in Human Physiology: Heart-Brain Dynamics./
作者:	Bohara, Gyanendra.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	110 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-05, Section: B.
Contained By:	Dissertations Abstracts International80-05B.
標題:	Physiology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=11005483
ISBN:	9780438591165

Application of Statistical Physics in Human Physiology: Heart-Brain Dynamics.
Bohara, Gyanendra.

Application of Statistical Physics in Human Physiology: Heart-Brain Dynamics. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 110 p.

Source: Dissertations Abstracts International, Volume: 80-05, Section: B.

Thesis (Ph.D.)--University of North Texas, 2018.

This item must not be added to any third party search indexes.

This dissertation is devoted to study of complex systems in human physiology particularly heartbeats and brain dynamics. We have studied the dynamics of heartbeats that has been a subject of investigation of two independent groups. The first group emphasized the multifractal nature of the heartbeat dynamics of healthy subjects, whereas the second group had established a close connection between healthy subjects and the occurrence of crucial events. We have analyzed the same set of data and established that in fact the heartbeats are characterized by the occurrence of crucial and Poisson events. An increase in the percentage of crucial events makes the multifractal spectrum broader, thereby bridging the results of the former group with the results of the latter group. The crucial events are characterized by a power index that signals the occurrence of 1/f noise for complex systems in the best physiological condition. These results led us to focus our analysis on the statistical properties of crucial events. We have adopted the same statistical analysis to study the statistical properties of the heartbeat dynamics of subjects practicing meditation. The heartbeats of people doing meditation are known to produce coherent fluctuations. In addition to this effect, we made the surprising discovery that meditation makes the heartbeat depart from the ideal condition of 1/f noise. We also discussed how to combine the wave-like nature of the dynamics of the brain with the existence of crucial events that are responsible for the 1/f noise. We showed that the anomalous scaling generated by the crucial events could be established by means of a direct analysis of raw data. The efficiency of the direct analysis procedure is made possible by the fact that periodicity and crucial events is the product of a spontaneous process of self-organization. We argue that the results of this study can be used to shed light into the nature of this process of self-organization.

ISBN: 9780438591165Subjects--Topical Terms:

518431
Physiology.

Application of Statistical Physics in Human Physiology: Heart-Brain Dynamics.
LDR:03126nmm a2200325 4500 001 2207997
005 20190929184025.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780438591165
035 $a (MiAaPQ)AAI11005483
035 $a (MiAaPQ)0158vireo:1235Bohara
035 $a AAI11005483
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bohara, Gyanendra. $3 3435001
245 1 0 $a Application of Statistical Physics in Human Physiology: Heart-Brain Dynamics.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 110 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-05, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Grigolini, Paolo.
502 $a Thesis (Ph.D.)--University of North Texas, 2018.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a This dissertation is devoted to study of complex systems in human physiology particularly heartbeats and brain dynamics. We have studied the dynamics of heartbeats that has been a subject of investigation of two independent groups. The first group emphasized the multifractal nature of the heartbeat dynamics of healthy subjects, whereas the second group had established a close connection between healthy subjects and the occurrence of crucial events. We have analyzed the same set of data and established that in fact the heartbeats are characterized by the occurrence of crucial and Poisson events. An increase in the percentage of crucial events makes the multifractal spectrum broader, thereby bridging the results of the former group with the results of the latter group. The crucial events are characterized by a power index that signals the occurrence of 1/f noise for complex systems in the best physiological condition. These results led us to focus our analysis on the statistical properties of crucial events. We have adopted the same statistical analysis to study the statistical properties of the heartbeat dynamics of subjects practicing meditation. The heartbeats of people doing meditation are known to produce coherent fluctuations. In addition to this effect, we made the surprising discovery that meditation makes the heartbeat depart from the ideal condition of 1/f noise. We also discussed how to combine the wave-like nature of the dynamics of the brain with the existence of crucial events that are responsible for the 1/f noise. We showed that the anomalous scaling generated by the crucial events could be established by means of a direct analysis of raw data. The efficiency of the direct analysis procedure is made possible by the fact that periodicity and crucial events is the product of a spontaneous process of self-organization. We argue that the results of this study can be used to shed light into the nature of this process of self-organization.
590 $a School code: 0158.
650 4 $a Physiology. $3 518431
690 $a 0719
710 2 $a University of North Texas. $b Department of Physics. $3 3435002
773 0 $t Dissertations Abstracts International $g 80-05B.
790 $a 0158
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=11005483