ArticleMedical & biological engineering & computing2020
Automatic detection algorithm for establishing standard to identify "surge blood pressure".
Article in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Robust Estimation of Unsteady Beat-to-Beat Systolic Blood Pressure Trends Using Photoplethysmography Contextual Cycles.Sensors (Basel, Switzerland) · 2025Article
- Blood Pressure Regulation and Hypertension in Obstructive Sleep Apnea Syndrome: A Historical Perspective.Internal medicine (Tokyo, Japan) · 2024Review
- Development of beat-by-beat blood pressure monitoring device and nocturnal sec-surge detection algorithm.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Review
- Recent developments in machine learning modeling methods for hypertension treatment.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Review
- 2023 update and perspectives.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Review
- Home blood pressure-centered approach - from digital health to medical practice: HOPE Asia Network consensus statement 2023.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Review
- Digital hypertension towards to the anticipation medicine.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Review
- Topics 2023 in Hypertension Research leading to guidelines in Asia.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Article
- Quality is not an act, it is a habit-Aristotle.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Review
- Nocturnal blood pressure surge in seconds is associated with arterial stiffness independently of conventional nocturnal blood pressure variability in suspected obstructive sleep apnea patients.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Wearable blood pressure measurement devices and new approaches in hypertension management: the digital era.Journal of human hypertension · 2022Review
- Very short-term beat-by-beat blood pressure variability in the supine position at rest correlates well with the nocturnal blood pressure variability assessed by ambulatory blood pressure monitoring.Hypertension research : official journal of the Japanese Society of Hypertension · 2022Article
- Nocturnal blood pressure surge in seconds is a new determinant of left ventricular mass index.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
- Aging steepens the slope of power spectrum density of 30-minute continuous blood pressure recording in healthy human subjects.PloS one · 2021Observational
- Management of Hypertension in the Digital Era: Small Wearable Monitoring Devices for Remote Blood Pressure Monitoring.Hypertension (Dallas, Tex. : 1979) · 2020Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Blood pressure (BP) variability is one of the important risk factors of cardiovascular disease (CVD). "Surge BP," which represents short-term BP variability, is defined as pathological exaggerated BP increase capable of triggering cardiovascular events. Surge BP is effectively evaluated by our new BP monitoring device. To the best of our knowledge, we are the first to develop an algorithm for the automatic detection of surge BP from continuous "beat-by-beat" (BbB) BP measurements. It enables clinicians to save significant time identifying surge BP in big data from their patients' continuous BbB BP measurements. A total of 94 subjects (74 males and 20 females) participated in our study to develop the surge BP detection algorithm, resulting in a total of 3272 surges collected from the study subjects. The surge BP detection algorithm is a simple classification model based on supervised learning which formulates shape of surge BP as detection rules. Surge BP identified with our algorithm was evaluated against surge BP manually labeled by experts with 5-fold cross validation. The recall and precision of the algorithm were 0.90 and 0.64, respectively. Processing time on each subject was 11.0 ± 4.7 s. Our algorithm is adequate for use in clinical practice and will be helpful in efforts to better understand this unique aspect of the onset of CVD. Graphical abstract Surge blood pressure (surge BP) which is defined as pathological short-term (several tens of seconds) exaggerated BP increase capable of triggering cardiovascular events. We have already developed a wearable continuous beat-by-beat (bBb) BP monitoring device and observed surge BPs successfully in obstructive sleep apnea patients. In this, we developed an algorithm for the automatic detection of surge BP from continuous BbB BP measurements to save significant time identifying surge BP among > 30,000 BbB BP measurements. Our result shows this algorithm can correctly detect surge BPs with a recall of over 0.9.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.