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Hypertension III: Clinical Manifestations and Diagnostic Studies

Hypertension III: Clinical Manifestations and Diagnostic Studies

Hypertension is asymptomatic and also referred to as the "silent killer" until it progresses to a severe stage or causes target organ disease. Patients may experience symptoms stemming from the strain on blood vessels and tissues in various organs or the heart's increased workload.Physical exams might show no abnormalities other than high blood pressure. Signs of vascular damage, when present, correspond to the organs supplied by the affected vessels, leading to target organ damage. For...

Hypertension I: Introduction

Hypertension I: Introduction

Hypertension is a widespread, long-term medical condition where blood pressure in the arteries remains elevated. It is characterized by systolic blood pressure readings of 130 mm Hg or above or diastolic blood pressure (DBP) readings of 80 mm Hg or higher. Unmanaged hypertension poses significant health risks, making the distinction between primary (or essential) hypertension and secondary hypertension crucial, as their management and implications vary.Primary HypertensionPrimary hypertension,...

Special considerations while measuring blood pressure

Special considerations while measuring blood pressure

When assessing blood pressure (BP), healthcare professionals must consider various factors and potential unexpected outcomes to ensure accurate readings and provide proper patient care. Adhering to these guidelines is essential to achieving the most reliable results.
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.

Equipments Used To Measure Blood Pressure

Equipments Used To Measure Blood Pressure

Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...

Assessing Blood pressure using a doppler ultrasound

Assessing Blood pressure using a doppler ultrasound

To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:

Measurement of Blood Pressure

Measurement of Blood Pressure

Assessing blood pressure is a standard procedure executed in virtually all medical environments. The method utilized today was established over a hundred years ago by an innovative Russian doctor, Dr. Nikolai Korotkoff. The soft ticking noise, known as Korotkoff sounds, heard while taking blood pressure readings results from turbulent blood flow within the vessels. The apparatus required for this procedure includes a sphygmomanometer, a blood pressure cuff attached to a gauge, and a...

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Related Experiment Video

Updated: Aug 5, 2025

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

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Photoplethysmography Driven Hypertension Identification: A Pilot Study.

Liangwen Yan¹, Mingsen Wei¹, Sijung Hu²

¹School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)

|March 30, 2023

Summary

This study introduces a non-invasive method using photoplethysmographic (PPG) signals and deep learning for early hypertension diagnosis. The developed LSTM-Attention model achieved high accuracy, paving the way for cost-effective screening via wearable devices.

Keywords:

Long Short-Term Memory attention mechanism hypertension photoplethysmography

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Last Updated: Aug 5, 2025

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Non-invasive Assessment of Microvascular and Endothelial Function

Non-invasive Assessment of Microvascular and Endothelial Function

Published on: January 29, 2013

Area of Science:

Biomedical Engineering
Artificial Intelligence in Healthcare
Cardiovascular Diagnostics

Background:

Growing demand for early hypertension detection and patient-specific state identification.
Limitations of traditional feature engineering in machine learning for complex physiological signals.
Need for non-invasive, cost-effective hypertension screening methods.

Purpose of the Study:

To investigate the efficacy of a non-invasive photoplethysmographic (PPG) signal analysis combined with deep learning for hypertension diagnosis.
To develop and evaluate a deep learning model (LSTM-Attention) for direct analysis of raw PPG data.
To establish a paradigm for rapid, cost-effective hypertension screening using wearable technology.

Main Methods:

Utilized a portable Max30101 photonic sensor to acquire PPG signals and transmit data wirelessly.
Applied a deep learning algorithm (LSTM-Attention) directly to preprocessed raw PPG data, bypassing traditional feature engineering.
Incorporated an attention mechanism with a Long Short-Term Memory (LSTM) model to capture long-term dependencies and enhance feature correlation.
Collected datasets from 15 healthy volunteers and 15 hypertension patients.

Main Results:

The proposed LSTM-Attention model demonstrated high diagnostic performance: accuracy (0.991), precision (0.989), recall (0.993), and F1-score (0.991).
The model effectively extracted deeper correlations from raw PPG datasets, outperforming separate LSTM models.
Achieved superior performance compared to existing related studies in hypertension identification.

Conclusions:

The proposed non-invasive method using PPG signals and LSTM-Attention deep learning is effective for diagnosing and identifying hypertension.
This approach offers a promising, cost-effective paradigm for widespread hypertension screening.
Wearable smart devices integrated with this technology can facilitate rapid and accessible hypertension detection.