Measurement of Non-Invasive Oscillometric Blood Pressure in the Elderly is Faster and More Comfortable During Cuff Inflation Than Deflation

1998 ◽  
Vol 89 (Supplement) ◽  
pp. 562A
Author(s):  
N Morioka ◽  
M Ozaki ◽  
D I Sessler ◽  
T Matsukawa ◽  
K Ozaki ◽  
...  
Keyword(s):  
Blood Pressure ◽  
The Elderly ◽  
Cuff Inflation ◽  
Non Invasive

A431 Measurement of Non-Invasive Oscillometric Blood Pressure During Cuff Inflation, Rather Than Deflation

1997 ◽  
Vol 87 (Supplement) ◽  
pp. 431A
Author(s):  
N. Morioka ◽  
M. Ozaki ◽  
K. Ozaki ◽  
D.I. Sessler ◽  
T. Matsukawa ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cuff Inflation ◽  
Non Invasive

PENGARUH TERAPI TERTAWA TERHADAP PENURUNAN TEKANAN DARAH LANSIA DI UPT PANTI WREDHA BUDHI DHARMA YOGYAKARTA

2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Niken Setyaningrum ◽  
Andri Setyorini ◽  
Fachruddin Tri Fitrianta
Keyword(s):  
Blood Pressure ◽  
Data Analysis ◽  
The Elderly ◽  
Control Group ◽  
Group Comparison ◽  
Control Blood Pressure ◽  
Men And Women ◽  
Treatment Of Hypertension ◽  
Before And After ◽  
The Difference

ABSTRACTBackground: Hypertension is one of the most common diseases, because this disease is suffered byboth men and women, as well as adults and young people. Treatment of hypertension does not onlyrely on medications from the doctor or regulate diet alone, but it is also important to make our bodyalways relaxed. Laughter can help to control blood pressure by reducing endocrine stress andcreating a relaxed condition to deal with relaxation.Objective: The general objective of the study was to determine the effect of laughter therapy ondecreasing elderly blood pressure in UPT Panti Wredha Budhi Dharma Yogyakarta.Methods: The design used in this study is a pre-experimental design study with one group pre-posttestresearch design where there is no control group (comparison). The population in this study wereelderly aged over> 60 years at 55 UPT Panti Wredha Budhi Dharma Yogyakarta. The method oftaking in this study uses total sampling. The sample in this study were 55 elderly. Data analysis wasused to determine the difference in blood pressure before and after laughing therapy with a ratio datascale that was using Pairs T-TestResult: There is an effect of laughing therapy on blood pressure in the elderly at UPT Panti WredhaBudhi Dharma Yogyakarta marked with a significant value of 0.000 (P <0.05)

Efektifitas Air Rebusan Daun Seledri Terhadap Perubahan Tekanan Darah Pada Lansia di Posyandu Ngudi Konco Desa Donomulyo Kecamatan Donomulyo Kab. Malang

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Hartin Suidah ◽  
Ninik Murtiyani ◽  
Arif Susanto ◽  
Yufi Aris Lestari ◽  
Shindy Sofyaning Fitra
Keyword(s):  
Blood Pressure ◽  
Sampling Technique ◽  
The Elderly ◽  
Reduce Blood Pressure ◽  
T Test ◽  
Boiling Water ◽  
Test Design ◽  
Post Test ◽  
Boiled Water ◽  
Paired T Test

ABSTRAKMasih tingginya penderita hipertensi merupakan salah satu masalah yang berpengaruh terhadap gaya hidup dan sikap yang mendorong timbulnya hipertensi. Untuk menangani tekanan darah pada penderita hipertensi umumnya minum obat-obatan dari puskesmas, rutinitas ini sering tidak disukai oleh penderita. Penelitian ini bertujuan untuk mengetahui efektifitas air rebusan daun seledri terhadap perubahan tekanan darah pada lansia di Posyandu Ngudi Konco Desa Donomulyo Kecamatan Donomulyo Kabupaten Malang.Desain penelitian ini Pre-Experimental dengan rancangan One- Group Pre-Post test design. Populasi dalam penelitian ini adalah semua lansia penderita hipertensi di Posyandu Ngudi Konco Desa Donomulyo Kecamatan Donomulyo Kabupaten Malang sebanyak 30 responden. Sampel diambil dengan teknik total sampling. Variabel penelitian yaitu pemberian air rebusan daun seledri sebagai variabel independent dan tekanan darah sebagai variabel dependen. Data yang di dapat melalui lembar observasi tekanan darah kemudian di uji dengan menggunakan uji paired t Test.Hasil uji paired t Test menunjukkan bahwa p = 0,000 α= 0,05 Ho di tolak dan H1 diterima sehingga air rebusan daun seledri efektif terhadap perubahan tekanan darah pada lansia di Posyandu Ngudi Konco Desa Donomulyo Kecamatan Donomulyo Kabupaten Malang.Terdapat penurunan jumlah penderita hipertensi sebelum dan sesudah diberikan air rebusan daun seledri. Responden agar dapat meningkatkan informasi tentang pelaksanaan tekanan darah sehingga dapat mengurangi tekanan darah yang dialami dengan cara non formakologi sehingga responden tidak hanya menggantungkan pada obat-obatan farmakologi dalam menurunkan tekanan darah.Kata kunci : Air Rebusan Daun Seledri, Tekanan Darah, Lansia ABSTRACTStill high hypertension was  one of the problems that affect the lifestyle and attitudes that encourage the emergence of hypertension. To handle blood pressure in people with hypertension generally take  medication from puskesmas, this routine was often disliked by the patient. This study aims to determine the effectiveness of boiling water celery leaves on changes in blood pressure in the elderly at Posyandu Ngudi Konco Donomulyo Village Donomulyo District Malang Regency.The design of this research was  Pre-Experimental with the design of One- Group Pre-Post test design. Population in this research was all elderly patient of hypertension in Posyandu Ngudi Konco Village Donomulyo District Donomulyo Malang Regency as many as 30 respondents. Samples were taken with total sampling technique. The research variable was giving boiled water of celery leaves as independent variable and blood pressure as dependent variable. The data can be through blood pressure observation sheet then tested by using paired t test.The result of paired t - test showed that p = 0.000 α = 0.05 Ho in rejection and H1 accepted so that boiling water celery leaf effective against blood pressure changes in elderly at Posyandu Ngudi Konco Donomulyo Village Donomulyo District Malang Regency. There was a decrease in the number of hypertensive patients before and after being given boiled water of celery leaves. Respondents in order to improve information about the implementation of blood pressure so as to reduce blood pressure experienced by non-formakologi way so that respondents not only rely on pharmacological drugs in lowering blood pressure. Key Words: Water Stew of Celery leaves, Blood Pressure, Elderly

scholarly journals Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Transit Time ◽  
Pulse Rate Variability ◽  
Physiological Factors ◽  
Ecg Signals ◽  
Non Invasive ◽  
Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

scholarly journals Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model

2021 ◽  
Vol 53 (2) ◽  
Author(s):  
Sen Yang ◽  
Yaping Zhang ◽  
Siu-Yeung Cho ◽  
Ricardo Correia ◽  
Stephen P. Morgan
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Deep Learning ◽  
Absolute Error ◽  
Learning Model ◽  
Physiological Measurement ◽  
British Hypertension Society ◽  
Non Invasive ◽  
Blood Pressure Estimation ◽  
Deep Learning Model

AbstractConventional blood pressure (BP) measurement methods have different drawbacks such as being invasive, cuff-based or requiring manual operations. There is significant interest in the development of non-invasive, cuff-less and continual BP measurement based on physiological measurement. However, in these methods, extracting features from signals is challenging in the presence of noise or signal distortion. When using machine learning, errors in feature extraction result in errors in BP estimation, therefore, this study explores the use of raw signals as a direct input to a deep learning model. To enable comparison with the traditional machine learning models which use features from the photoplethysmogram and electrocardiogram, a hybrid deep learning model that utilises both raw signals and physical characteristics (age, height, weight and gender) is developed. This hybrid model performs best in terms of both diastolic BP (DBP) and systolic BP (SBP) with the mean absolute error being 3.23 ± 4.75 mmHg and 4.43 ± 6.09 mmHg respectively. DBP and SBP meet the Grade A and Grade B performance requirements of the British Hypertension Society respectively.

scholarly journals Association between central non-dipping pattern and platelet morphology in adults with type 1 diabetes without cardiovascular disease: a cross-sectional study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michal Kulecki ◽  
Dariusz Naskret ◽  
Mikolaj Kaminski ◽  
Dominika Kasprzak ◽  
Pawel Lachowski ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 1 Diabetes ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Distribution Width ◽  
Non Invasive ◽  
Platelet Morphology ◽  
Oscillometric Device

AbstractThe non-dipping pattern is nighttime systolic blood pressure (SBP) fall of less than 10%. Several studies showed that the non-dipping pattern, increased mean platelet volume (MPV), and platelet distribution width (PDW) are associated with elevated cardiovascular risk. Hypertensives with the non-dipping pattern have higher MPV than the dippers but this relationship was never investigated among people with type 1 diabetes mellitus (T1DM). This study aimed to investigate the association between the central dipping pattern and platelet morphology in T1DM subjects. We measured the central and brachial blood pressure with a validated non-invasive brachial oscillometric device—Arteriograph 24—during twenty-four-hour analysis in T1DM subjects without diagnosed hypertension. The group was divided based on the central dipping pattern for the dippers and the non-dippers. From a total of 62 subjects (32 males) aged 30.1 (25.7–37) years with T1DM duration 15.0 (9.0–20) years, 36 were non-dippers. The non-dipper group had significantly higher MPV (MPV (10.8 [10.3–11.5] vs 10.4 [10.0–10.7] fl; p = 0.041) and PDW (13.2 [11.7–14.9] vs 12.3 [11.7–12.8] fl; p = 0.029) than dipper group. Multivariable logistic regression revealed that MPV (OR 3.74; 95% CI 1.48–9.45; p = 0.005) and PDW (OR 1.91; 95% CI 1.22–3.00; p = 0.005) were positively associated with central non-dipping pattern adjusting for age, sex, smoking status, daily insulin intake, and height. MPV and PDW are positively associated with the central non-dipping pattern among people with T1DM.

scholarly journals An Estimation Method of Continuous Non-Invasive Arterial Blood Pressure Waveform Using Photoplethysmography: A U-Net Architecture-Based Approach

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1867
Author(s):  
Tasbiraha Athaya ◽  
Sunwoong Choi
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Health ◽  
Estimation Method ◽  
Absolute Error ◽  
British Hypertension Society ◽  
Non Invasive ◽  
Arterial Blood ◽  
Blood Pressure Waveform ◽  
The Mean ◽  
Mimic Iii

Blood pressure (BP) monitoring has significant importance in the treatment of hypertension and different cardiovascular health diseases. As photoplethysmogram (PPG) signals can be recorded non-invasively, research has been highly conducted to measure BP using PPG recently. In this paper, we propose a U-net deep learning architecture that uses fingertip PPG signal as input to estimate arterial BP (ABP) waveform non-invasively. From this waveform, we have also measured systolic BP (SBP), diastolic BP (DBP), and mean arterial pressure (MAP). The proposed method was evaluated on a subset of 100 subjects from two publicly available databases: MIMIC and MIMIC-III. The predicted ABP waveforms correlated highly with the reference waveforms and we have obtained an average Pearson’s correlation coefficient of 0.993. The mean absolute error is 3.68 ± 4.42 mmHg for SBP, 1.97 ± 2.92 mmHg for DBP, and 2.17 ± 3.06 mmHg for MAP which satisfy the requirements of the Association for the Advancement of Medical Instrumentation (AAMI) standard and obtain grade A according to the British Hypertension Society (BHS) standard. The results show that the proposed method is an efficient process to estimate ABP waveform directly using fingertip PPG.

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