Automatic detection algorithm for establishing standard to identify "surge blood pressure".
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 B...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 6; pp. 1393 - 1405 |
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| Autores principales: | , , , , , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143136820&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143136820 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2020 vid: 58 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 143136820 143136820 NLM32281072 143136820 10.1007/s11517-020-02162-4 NLM32281072 143136820 ppf: 1393 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automatic detection algorithm for establishing standard to identify "surge blood pressure". aug: au: Kokubo, Ayako Kuwabara, Mitsuo Nakajima, Hiroshi Tomitani, Naoko Yamashita, Shingo Shiga, Toshikazu Kario, Kazuomi affil: Development center, Technology Development HQ, Omron Healthcare Co., Ltd, 53 Kunotsubo, Terado-cho, Muko, 617-0002, Kyoto, Japan sug: subj: Hypertension Diagnosis Blood Pressure Determination Methods Sleep Apnea, Obstructive Physiopathology Algorithms Sleep Apnea, Obstructive Diagnosis Middle Age Sleep Physiology Blood Pressure Monitoring, Ambulatory Methods Female Blood Pressure Monitoring, Ambulatory Equipment and Supplies Aged Blood Pressure Determination Equipment and Supplies Blood Pressure Physiology Male Blood Pressure Determination Standards Human Middle Aged: 45-64 years Aged: 65+ years Female Male ab: 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. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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