Aakash Kapoor;Thomas B. Conroy;Kapil Gangwar;Edwin C. Kan;Joaquin Araos
{"title":"一种用于连续左、右肺容量传感的近场射频系统","authors":"Aakash Kapoor;Thomas B. Conroy;Kapil Gangwar;Edwin C. Kan;Joaquin Araos","doi":"10.1109/JSEN.2025.3538501","DOIUrl":null,"url":null,"abstract":"Many respiratory disorders are diagnosed by lung function tests, typically performed using spirometers in clinical settings. Noninvasive measures of lung function are of increasing interest to enable convenient, at-home wellness monitoring of respiratory distress. In this work, we used near-field radio frequency (NFRF) sensors on mechanically ventilated porcine models for the continuous acquisition of pulmonary dynamics for each lung independently under various cardiopulmonary interventions. NFRF sensors, previously shown to detect internal tissue motion, were deployed laterally across the pig’s chest to measure tidal volume during a stepped intervention. A reference spirometer was used for validation. We used bronchial blockers to isolate each lung, allowing us to demonstrate the novel capability of individually monitoring lung volumes. We demonstrated lung volume measurements with an average error of 9.2% between NFRF and reference spirometry. We also showed individual lung dynamics during one-lung obstruction. The results of this work demonstrate NFRF sensors as a novel wearable method for continuous monitoring of individual lung volumes, aiding the management of respiratory distress during acute and chronic conditions, as well as for detecting the early onset of life-threatening conditions such as pneumothorax.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11857-11867"},"PeriodicalIF":4.3000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Near-Field Radio Frequency System for Continuous Left and Right Lung Volume Sensing\",\"authors\":\"Aakash Kapoor;Thomas B. Conroy;Kapil Gangwar;Edwin C. Kan;Joaquin Araos\",\"doi\":\"10.1109/JSEN.2025.3538501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many respiratory disorders are diagnosed by lung function tests, typically performed using spirometers in clinical settings. Noninvasive measures of lung function are of increasing interest to enable convenient, at-home wellness monitoring of respiratory distress. In this work, we used near-field radio frequency (NFRF) sensors on mechanically ventilated porcine models for the continuous acquisition of pulmonary dynamics for each lung independently under various cardiopulmonary interventions. NFRF sensors, previously shown to detect internal tissue motion, were deployed laterally across the pig’s chest to measure tidal volume during a stepped intervention. A reference spirometer was used for validation. We used bronchial blockers to isolate each lung, allowing us to demonstrate the novel capability of individually monitoring lung volumes. We demonstrated lung volume measurements with an average error of 9.2% between NFRF and reference spirometry. We also showed individual lung dynamics during one-lung obstruction. The results of this work demonstrate NFRF sensors as a novel wearable method for continuous monitoring of individual lung volumes, aiding the management of respiratory distress during acute and chronic conditions, as well as for detecting the early onset of life-threatening conditions such as pneumothorax.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 7\",\"pages\":\"11857-11867\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10879308/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10879308/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Near-Field Radio Frequency System for Continuous Left and Right Lung Volume Sensing
Many respiratory disorders are diagnosed by lung function tests, typically performed using spirometers in clinical settings. Noninvasive measures of lung function are of increasing interest to enable convenient, at-home wellness monitoring of respiratory distress. In this work, we used near-field radio frequency (NFRF) sensors on mechanically ventilated porcine models for the continuous acquisition of pulmonary dynamics for each lung independently under various cardiopulmonary interventions. NFRF sensors, previously shown to detect internal tissue motion, were deployed laterally across the pig’s chest to measure tidal volume during a stepped intervention. A reference spirometer was used for validation. We used bronchial blockers to isolate each lung, allowing us to demonstrate the novel capability of individually monitoring lung volumes. We demonstrated lung volume measurements with an average error of 9.2% between NFRF and reference spirometry. We also showed individual lung dynamics during one-lung obstruction. The results of this work demonstrate NFRF sensors as a novel wearable method for continuous monitoring of individual lung volumes, aiding the management of respiratory distress during acute and chronic conditions, as well as for detecting the early onset of life-threatening conditions such as pneumothorax.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice