語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"garcia martinez, constantino antonio." ]
切換:
標籤
|
MARC模式
|
ISBD
Heart rate variability analysis with...
~
Garcia Martinez, Constantino Antonio.
Heart rate variability analysis with the R package RHRV
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Heart rate variability analysis with the R package RHRVby Constantino Antonio Garcia Martinez ... [et al.].
其他作者:
Garcia Martinez, Constantino Antonio.
出版者:
Cham :Springer International Publishing :2017.
面頁冊數:
xvi, 157 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Heart beat.
電子資源:
http://dx.doi.org/10.1007/978-3-319-65355-6
ISBN:
9783319653556$q(electronic bk.)
Heart rate variability analysis with the R package RHRV
Heart rate variability analysis with the R package RHRV
[electronic resource] /by Constantino Antonio Garcia Martinez ... [et al.]. - Cham :Springer International Publishing :2017. - xvi, 157 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!.
Foreword -- Preface -- 1 Introduction to Heart Rate Variability -- 2 Loading, Plotting and Filtering RR Intervals -- 3 Time Domain Analysis -- 4 Frequency Domain Analysis -- 5 Nonlinear and Fractal Analysis -- 6 Comparing HRV Variability across Different Segments of a Recording -- 7 Putting it All Together, a Practical Example -- A Installing RHRV -- B How do I Get a Series of RR Intervals from a Clinical/Biological Experiment?
This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques. Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data.
ISBN: 9783319653556$q(electronic bk.)
Standard No.: 10.1007/978-3-319-65355-6doiSubjects--Topical Terms:
514083
Heart beat.
LC Class. No.: QP113 / .H437 2017
Dewey Class. No.: 612.171
Heart rate variability analysis with the R package RHRV
LDR
:02608nmm a2200301 a 4500
001
522362
003
DE-He213
005
20180328105205.0
006
m d
007
cr nn 008maaau
008
180521s2017 gw s 0 eng d
020
$a
9783319653556$q(electronic bk.)
020
$a
9783319653549$q(paper)
024
7
$a
10.1007/978-3-319-65355-6
$2
doi
035
$a
978-3-319-65355-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QP113
$b
.H437 2017
082
0 4
$a
612.171
$2
23
090
$a
QP113
$b
.H436 2017
245
0 0
$a
Heart rate variability analysis with the R package RHRV
$h
[electronic resource] /
$c
by Constantino Antonio Garcia Martinez ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xvi, 157 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Use R!,
$x
2197-5736
505
0
$a
Foreword -- Preface -- 1 Introduction to Heart Rate Variability -- 2 Loading, Plotting and Filtering RR Intervals -- 3 Time Domain Analysis -- 4 Frequency Domain Analysis -- 5 Nonlinear and Fractal Analysis -- 6 Comparing HRV Variability across Different Segments of a Recording -- 7 Putting it All Together, a Practical Example -- A Installing RHRV -- B How do I Get a Series of RR Intervals from a Clinical/Biological Experiment?
520
$a
This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques. Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data.
650
0
$a
Heart beat.
$3
514083
650
0
$a
Electrocardiography.
$3
240632
650
1 4
$a
Statistics.
$3
182057
650
2 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
274067
650
2 4
$a
Signal, Image and Speech Processing.
$3
273768
650
2 4
$a
Biostatistics.
$3
339693
650
2 4
$a
Biomedical Engineering.
$3
190464
650
2 4
$a
Cardiology.
$3
273804
650
2 4
$a
Cardiac Imaging.
$3
725222
700
1
$a
Garcia Martinez, Constantino Antonio.
$3
792982
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Use R!
$3
558822
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-65355-6
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000147334
電子館藏
1圖書
電子書
EB QP113 H436 2017
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-65355-6
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入