scholarly journals Monitoring Personalized Trait Using Oscillometric Arterial Blood Pressure Measurements

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Young-Suk Shin
Keyword(s):  
Blood Pressure ◽  
Arterial Blood Pressure ◽  
Blood Pressure Monitoring ◽  
Blood Pressure Measurement ◽  
Pressure Measurements ◽  
Uniform Size ◽  
Linear Discriminant ◽  
Arterial Blood ◽  
Blood Pressure Data ◽  
Blood Pressure Patterns

The blood pressure patterns obtained from a linearly or stepwise deflating cuff exhibit personalized traits, such as fairly uniform peak patterns and regular beat geometry; it can support the diagnosis and monitoring of hypertensive patients with reduced sensitivity to fluctuations in Blood Pressure (BP) over time. Monitoring of personalized trait in Oscillometric Arterial Blood Pressure Measurements (OABPM) uses the Linear Discriminant Analysis (LDA) algorithm. The representation of personalized traits with features from the oscillometric waveforms using LDA algorithm includes four phases. Data collection consists of blood pressure data using auscultatory measurements and pressure oscillations data obtained from the oscillometric method. Preprocessing involves the normalization of various sized oscillometric waveforms to a uniform size. Feature extraction involves the use of features from oscillometric amplitudes, and trait identification involves the use of the LDA algorithm. In this paper, it presents a novel OABPM-based blood pressure monitoring system that can monitor personalized blood pressure pattern. Our approach can reduce sensitivity to fluctuations in blood pressure with the features extracted from the whole area in oscillometric arterial blood pressure measurement. Therefore this technique offers reliable blood pressure patterns. This study provides a cornerstone for the diagnosis and management of hypertension in the foreseeable future.

Indirect Arterial Blood Pressure Measurement in Nonsedated Irish Wolfhounds: Reference Values for the Breed

2002 ◽  
Vol 38 (6) ◽  
pp. 521-526 ◽  
Author(s):  
Janice M. Bright ◽  
Mariellen Dentino
Keyword(s):  
Blood Pressure ◽  
Arterial Blood Pressure ◽  
Reference Values ◽  
Diastolic Pressure ◽  
Blood Pressure Measurement ◽  
Systolic Pressure ◽  
Standing Position ◽  
Mean Value ◽  
Pressure Measurements ◽  
Arterial Blood

Arterial blood pressure measurements were obtained from 158 healthy Irish wolfhounds using the oscillometric technique to establish reference values for the breed. In contrast to other sight hounds, Irish wolfhounds have low arterial blood pressure. Mean systolic pressure for the group was 116.0 mm Hg. Mean diastolic pressure was 69.2 mm Hg, and the mean value for mean arterial pressure was 87.8 mm Hg. Blood pressure measurements were higher in older wolfhounds than in young dogs. There was no difference between systolic and mean arterial blood pressures in lateral recumbency compared to standing position. However, diastolic pressure was slightly lower when standing. Calm dogs had lower pressure than anxious wolfhounds. There was a significant interaction between the effects of age, gender, and mood on systolic, diastolic, and mean arterial blood pressure values.

Agreement Between Doppler and Invasive Blood Pressure Monitoring in Anesthetized Dogs Weighing <5 kg

2015 ◽  
Vol 51 (5) ◽  
pp. 300-305 ◽  
Author(s):  
Martin J. Kennedy ◽  
Michele Barletta
Keyword(s):  
Blood Pressure ◽  
General Anesthesia ◽  
Arterial Blood Pressure ◽  
Blood Pressure Monitoring ◽  
Performance Criteria ◽  
Pressure Measurements ◽  
Noninvasive Blood Pressure ◽  
Arterial Blood ◽  
Systolic Arterial Blood Pressure ◽  
Anesthetized Dogs

The objectives of this study were to determine if Doppler (DOP) blood pressure measurements more closely estimate either invasive systolic or invasive mean arterial blood pressures (ISAP or IMAP, respectively) in small dogs under general anesthesia and to assess the ability of DOP to detect anesthesia-related hypotension in small dogs. Blood pressure measurements (n = 203) were obtained from 10 client-owned dogs. DOP, ISAP, and IMAP were recorded simultaneously, and the data were categorized into two groups: hypotensive (ISAP &lt;90 mm Hg) and normotensive (ISAP ≥90 mm Hg and ≤160 mm Hg). DOP overestimated ISAP and IMAP in both the normotensive and hypotensive groups. The DOP was highly specific (97%) but poorly sensitive (56%) for detecting hypotension. The smallest bias was achieved when using DOP as an estimate of systolic arterial blood pressure in both normotensive and hypotensive dogs, suggesting that DOP measures systolic arterial blood pressure in dogs &lt;5 kg. For dogs with hypotension, DOP met all of the performance criteria for noninvasive blood pressure monitors recommended by the American College of Veterinary Internal Medicine. DOP is an acceptably accurate and highly specific means of detecting hypotension in small dogs under general anesthesia.

scholarly journals A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction

2021 ◽  
Author(s):  
Annunziata Paviglianiti ◽  
Vincenzo Randazzo ◽  
Stefano Villata ◽  
Giansalvo Cirrincione ◽  
Eros Pasero
Keyword(s):  
Blood Pressure ◽  
Neural Networks ◽  
Deep Learning ◽  
Arterial Blood Pressure ◽  
Blood Pressure Measurement ◽  
National Standards ◽  
Detection Methods ◽  
Physiological Parameter ◽  
Arterial Blood ◽  
Learning Techniques

AbstractContinuous vital signal monitoring is becoming more relevant in preventing diseases that afflict a large part of the world’s population; for this reason, healthcare equipment should be easy to wear and simple to use. Non-intrusive and non-invasive detection methods are a basic requirement for wearable medical devices, especially when these are used in sports applications or by the elderly for self-monitoring. Arterial blood pressure (ABP) is an essential physiological parameter for health monitoring. Most blood pressure measurement devices determine the systolic and diastolic arterial blood pressure through the inflation and the deflation of a cuff. This technique is uncomfortable for the user and may result in anxiety, and consequently affect the blood pressure and its measurement. The purpose of this paper is the continuous measurement of the ABP through a cuffless, non-intrusive approach. The approach of this paper is based on deep learning techniques where several neural networks are used to infer ABP, starting from photoplethysmogram (PPG) and electrocardiogram (ECG) signals. The ABP was predicted first by utilizing only PPG and then by using both PPG and ECG. Convolutional neural networks (ResNet and WaveNet) and recurrent neural networks (LSTM) were compared and analyzed for the regression task. Results show that the use of the ECG has resulted in improved performance for every proposed configuration. The best performing configuration was obtained with a ResNet followed by three LSTM layers: this led to a mean absolute error (MAE) of 4.118 mmHg on and 2.228 mmHg on systolic and diastolic blood pressures, respectively. The results comply with the American National Standards of the Association for the Advancement of Medical Instrumentation. ECG, PPG, and ABP measurements were extracted from the MIMIC database, which contains clinical signal data reflecting real measurements. The results were validated on a custom dataset created at Neuronica Lab, Politecnico di Torino.

Assessment of the Antihypertensive Effect of Atenolol with 24 H Ambulatory Monitoring of Blood Pressure

1979 ◽  
Vol 57 (s5) ◽  
pp. 387s-389s ◽  
Author(s):  
J. S. Floras ◽  
P. Fox ◽  
M. O. Hassan ◽  
J. V. Jones ◽  
P. Sleight ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Essential Hypertension ◽  
Arterial Blood Pressure ◽  
Antihypertensive Effect ◽  
Ambulatory Monitoring ◽  
Single Daily Dose ◽  
Pressure Measurements ◽  
Arterial Blood ◽  
Blood Pressure Study ◽  
Daily Dose

1. Twenty-four hour intra-arterial blood pressure measurements and electrocardiograms were obtained from 12 subjects with untreated essential hypertension. 2. The patients kept records of their activity, paying particular attention to times of retiring to bed, and times of waking in the morning. 3. All subjects were treated with a single daily dose of atenolol (50 to 200 mg) for between 2 and 9 months, and then underwent a second 24 h blood pressure study. 4. Arterial blood pressure was lowered significantly throughout the 24 h period with a single daily dose of atenolol.

GRANGER CAUSALITY ANALYSIS BETWEEN INTRA-OSSEOUS PRESSURE AND ARTERIAL BLOOD PRESSURE IN AFRICAN GREY PARROTS (PSITTACUS ERITHACUS)

2021 ◽  
pp. 1-8
Author(s):  
Yi-Tse Hsiao ◽  
Yun-Wen Peng ◽  
Pin Huan Yu
Keyword(s):  
Blood Pressure ◽  
Arterial Pressure ◽  
Granger Causality ◽  
Arterial Blood Pressure ◽  
Pressure Measurement ◽  
Direct Method ◽  
Blood Pressure Measurement ◽  
Rational Approach ◽  
Arterial Blood ◽  
The Relationship

Monitoring blood pressure helps a clinical veterinarian assess various conditions in birds. Blood pressure is not only a bio-indicator of renal or cardiovascular disease but is also a vital indicator for anesthesia. Anesthetic- and sedation-related mortality is higher in birds than dogs or cats. The traditional method of blood pressure measurement in mammals mainly relies on indirect methods. However, indirect blood pressure measurement is not reliable in birds, making the direct method the only gold standard. Although an arterial catheter can provide continuous real-time arterial pressure in birds, the method requires technical skill and is limited by bird size, and is thus not practical in birds with circulatory collapse. Intra-osseous (IO) blood pressure is potentially related to arterial pressure and may be a much easier and safer technique that is less limited by animal size. However, the relationship between IO pressure and arterial blood pressure has not been established. This study used mathematical methods to determine the relationship between IO pressure and arterial blood pressure. The Granger causality (G.C.) theory was applied in the study and used to analyze which pressure signal was leading the other. Our findings suggest that IO pressure is G.C. by arterial blood pressure; thus, the use of IO pressure measurements as an alternative to arterial blood pressure measurement is a rational approach.

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