Time-Series Data Analysis of Long-Term Home Blood Pressure Measurements in Relation to Lifestyle

被引：4

作者：

Takeuchi, Hiroshi ^{[1
]}

Kodama, Naoki ^{[1
]}

Takahashi, Shingo ^{[1
]}

机构：

[1] Takasaki Univ Hlth & Welf, Dept Healthcare Informat, 37-1 Nakaorui Machi, Takasaki, Gunma 3700033, Japan

来源：

MEDINFO 2015: EHEALTH-ENABLED HEALTH | 2015年 / 216卷

关键词：

Personal Healthcare; Home Blood Pressure; Time-Series Data Analysis; Healthcare Data Mining;

D O I：

10.3233/978-1-61499-564-7-751

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We conducted a long-term time-series analysis of an individual's home blood pressure measurements, stored on a personal healthcare system in cloud, relative to the individual's lifestyle. In addition to daily scattering, apparent seasonal variations were observed in both systolic and diastolic blood pressure measurements. We examined the effect of seasonal variations on the outcome of a healthcare data mining process that extracts rules between blood pressure measurements and lifestyle components such as exercise and diet, and found that the daily blood pressure data approached a normal distribution when adjusted for the seasonal variations. This implies that an adjustment is desirable in order to produce appropriate rules in the healthcare data mining process.

引用

页码：751 / 755

页数：5

共 50 条

[1] Time-Series Data Analysis of Home Blood Flow Velocity Measurements from Radial Artery in Relation to Lifestyle Factors
Takeuchi, Hiroshi
Kodama, Naoki
[J]. 2017 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI), 2017, : 425 - 428
[2] ANALYSIS OF LONG-TERM ECOLOGICAL DATA USING CATEGORICAL TIME-SERIES REGRESSION
ROSE, KA
SUMMERS, JK
CUMMINS, RA
HEIMBUCH, DG
[J]. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 1986, 43 (12) : 2418 - 2426
[3] Improved long-term time-series predictions of total blood use data from England
Nandi, Anita K.
Roberts, David J.
Nandi, Asoke K.
[J]. TRANSFUSION, 2020, 60 (10) : 2307 - 2318
[4] TIME-SERIES ANALYSIS OF LONG-TERM CARDIOVASCULAR-RESPONSE
RAY, RL
LEASE, S
OLSON, SJ
ANDERSON, DE
[J]. PAVLOVIAN JOURNAL OF BIOLOGICAL SCIENCE, 1981, 16 (04): : 204 - 211
[5] Management of time-series data for long-term, continuous stormwater modeling
Gregory, M
James, W
[J]. ADVANCES IN MODELING THE MANAGEMENT OF STORMWATER IMPACTS, VOL 4, 1996, 4 : 115 - 151
[6] Exploring long-term urban cycles with multivariate time-series analysis
Salvati, Luca
[J]. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2022, 49 (04) : 1212 - 1227
[7] Time-series analysis of long-term photometry of BM Canum Venaticorum
Siltala, L.
Jetsu, L.
Hackman, T.
Henry, G. W.
Immonen, L.
Kajatkari, P.
Lankinen, J.
Lehtinen, J.
Monira, S.
Nikbakhsh, S.
Viitanen, A.
Viuho, J.
Willamo, T.
[J]. ASTRONOMISCHE NACHRICHTEN, 2017, 338 (04) : 453 - 463
[8] Time-series modeling of long-term weight self-monitoring data
Helander, Elina
Pavel, Misha
Jimison, Holly
Korhonen, Ilkka
[J]. 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 1616 - 1620
[9] Long-Term Prediction of Small Time-Series Data Using Generalized Distillation
Hayashi, Shogo
Tanimoto, Akira
Kashima, Hisashi
[J]. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2019,
[10] Long-term prediction of small time-series data using generalized distillation
Hayashi, Shogo
Tanimoto, Akira
Kashima, Hisashi
[J]. Transactions of the Japanese Society for Artificial Intelligence, 2020, 35 (05) : 1 - 9

← 1 2 3 4 5 →