{"title":"光容积描记技术表征不同人体姿势时颈动脉到脚趾的脉搏持续时间","authors":"S. Abdalla, N. Al-Aama","doi":"10.9734/BJMMR/2017/30470","DOIUrl":null,"url":null,"abstract":"Photoplethysmogram, including Pulse Transit Time (PTT), technique were used to detect blood volume changes in human carotid-to-toe. The main problem is how to evaluate the PTT values continuously from the subject with accurate readings. Monitoring PTT values of a person is useful in non-invasive, cuff-less estimation of blood pressure measurement. In this study, PTT values of 12 healthy subjects (8 males and 4 females) age 23.8 ± 1.5 years have been estimated using an auto-regressive with exogenous input (ARX) model. We presented autoregressive model for single variant and multi-variant model, using time series model, taken into account exogenous variables, a locally constant autoregressive model, and a radial basis function autoregressive model. We implemented the time domain system identification using an autoregressive with exogenous input (ARX) model. PTT values were estimated for all subjects in three different positions; sit, stand and supine. Results show that the PTT in sit and stand positions are statistically no different (84.5±19.6 ms versus 78±15.9 ms, p = 0.44). However, the PTT in the supine position is significantly higher than the two other positions (145.7±18.4 ms versus 84.5±19.6 ms and 145.7±18.4 ms versus 78±15.9 ms respectively, p < 0.01 for both situations). These results concur with values reported by other researchers (120 ms < PTT < 180 ms) on the effect of posture in estimating PTT.","PeriodicalId":9249,"journal":{"name":"British journal of medicine and medical research","volume":"13 1","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Photoplethysmogram Technique to Characterize the Carotid-to-toe Pulse Duration during Different Human-postures\",\"authors\":\"S. Abdalla, N. Al-Aama\",\"doi\":\"10.9734/BJMMR/2017/30470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photoplethysmogram, including Pulse Transit Time (PTT), technique were used to detect blood volume changes in human carotid-to-toe. The main problem is how to evaluate the PTT values continuously from the subject with accurate readings. Monitoring PTT values of a person is useful in non-invasive, cuff-less estimation of blood pressure measurement. In this study, PTT values of 12 healthy subjects (8 males and 4 females) age 23.8 ± 1.5 years have been estimated using an auto-regressive with exogenous input (ARX) model. We presented autoregressive model for single variant and multi-variant model, using time series model, taken into account exogenous variables, a locally constant autoregressive model, and a radial basis function autoregressive model. We implemented the time domain system identification using an autoregressive with exogenous input (ARX) model. PTT values were estimated for all subjects in three different positions; sit, stand and supine. Results show that the PTT in sit and stand positions are statistically no different (84.5±19.6 ms versus 78±15.9 ms, p = 0.44). However, the PTT in the supine position is significantly higher than the two other positions (145.7±18.4 ms versus 84.5±19.6 ms and 145.7±18.4 ms versus 78±15.9 ms respectively, p < 0.01 for both situations). These results concur with values reported by other researchers (120 ms < PTT < 180 ms) on the effect of posture in estimating PTT.\",\"PeriodicalId\":9249,\"journal\":{\"name\":\"British journal of medicine and medical research\",\"volume\":\"13 1\",\"pages\":\"1-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British journal of medicine and medical research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/BJMMR/2017/30470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of medicine and medical research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/BJMMR/2017/30470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
应用光容积描记技术,包括脉冲传递时间(PTT)检测人颈-趾血容量变化。主要问题是如何在准确读数的情况下连续评估受试者的PTT值。监测一个人的PTT值在无创、无袖带的血压测量估计中是有用的。本研究采用外源性输入自回归(ARX)模型,对年龄23.8±1.5岁的12例健康受试者(男8例,女4例)的PTT值进行了估计。采用考虑外生变量的时间序列模型、局部常数自回归模型和径向基函数自回归模型,建立了单变量模型和多变量模型的自回归模型。我们使用带有外生输入的自回归(ARX)模型实现了时域系统识别。估计所有受试者在三个不同位置的PTT值;坐,站,仰卧。结果显示,坐位与站立位的PTT差异无统计学意义(84.5±19.6 ms vs 78±15.9 ms, p = 0.44)。然而,仰卧位的PTT明显高于其他两种体位(分别为145.7±18.4 ms比84.5±19.6 ms和145.7±18.4 ms比78±15.9 ms, p < 0.01)。这些结果与其他研究者报道的姿势对预估PTT的影响值(120 ms < PTT < 180 ms)一致。
Photoplethysmogram Technique to Characterize the Carotid-to-toe Pulse Duration during Different Human-postures
Photoplethysmogram, including Pulse Transit Time (PTT), technique were used to detect blood volume changes in human carotid-to-toe. The main problem is how to evaluate the PTT values continuously from the subject with accurate readings. Monitoring PTT values of a person is useful in non-invasive, cuff-less estimation of blood pressure measurement. In this study, PTT values of 12 healthy subjects (8 males and 4 females) age 23.8 ± 1.5 years have been estimated using an auto-regressive with exogenous input (ARX) model. We presented autoregressive model for single variant and multi-variant model, using time series model, taken into account exogenous variables, a locally constant autoregressive model, and a radial basis function autoregressive model. We implemented the time domain system identification using an autoregressive with exogenous input (ARX) model. PTT values were estimated for all subjects in three different positions; sit, stand and supine. Results show that the PTT in sit and stand positions are statistically no different (84.5±19.6 ms versus 78±15.9 ms, p = 0.44). However, the PTT in the supine position is significantly higher than the two other positions (145.7±18.4 ms versus 84.5±19.6 ms and 145.7±18.4 ms versus 78±15.9 ms respectively, p < 0.01 for both situations). These results concur with values reported by other researchers (120 ms < PTT < 180 ms) on the effect of posture in estimating PTT.