A. Khasnobish, A. Sinharay, Raj Rakshit, T. Chakravarty
{"title":"Demo Abstract: Phase-Gain IC Based Novel Design of Tidal Breathing Pattern Sensor for Pulmonary Disease Diagnostics","authors":"A. Khasnobish, A. Sinharay, Raj Rakshit, T. Chakravarty","doi":"10.1145/3055031.3055041","DOIUrl":null,"url":null,"abstract":"This paper demonstrates a system capable of capturing directionaltidal breathing (inhale/exhale cycles) pattern for application inpulmonary disease diagnostics. The work particularly highlightsintelligent usage of commercially available Analog Device’s phasegainIC and ultrasound to build such a system which otherwiserequires many fold, more complex circuits/electronics to achievesimilar sensitivity. This makes the system compact, affordable yetvery sensitive so that it can be reliably used for tidal breathing analysis,a new trend that emerged recently as opposed to traditionalSpirometric test (based on forced breathing) that is both tedious andpainful for patients with pulmonary obstructions. This work mayturn out quite useful in needy geographies as pulmonary ailmentslike Chronic Obstructive Pulmonary Disease (COPD) is rapidlybecoming an epidemic and requires immediate attention","PeriodicalId":228318,"journal":{"name":"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper demonstrates a system capable of capturing directionaltidal breathing (inhale/exhale cycles) pattern for application inpulmonary disease diagnostics. The work particularly highlightsintelligent usage of commercially available Analog Device’s phasegainIC and ultrasound to build such a system which otherwiserequires many fold, more complex circuits/electronics to achievesimilar sensitivity. This makes the system compact, affordable yetvery sensitive so that it can be reliably used for tidal breathing analysis,a new trend that emerged recently as opposed to traditionalSpirometric test (based on forced breathing) that is both tedious andpainful for patients with pulmonary obstructions. This work mayturn out quite useful in needy geographies as pulmonary ailmentslike Chronic Obstructive Pulmonary Disease (COPD) is rapidlybecoming an epidemic and requires immediate attention