Literature DB >> 22875237

A wireless portable system with microsensors for monitoring respiratory diseases.

Zhe Cao1, Rong Zhu, Rui-Yi Que.   

Abstract

A wireless portable monitoring system for respiratory diseases using microsensors is proposed. The monitoring system consists of two sensor nodes integrating with Bluetooth transmitters that measure user's respiratory airflow, blood oxygen saturation, and body posture. The utility of micro-hot-film flow sensor makes the monitor can acquire comprehensive respiration parameters which are useful for diagnoses of obstructive sleep apnea, chronic obstructive pulmonary disease, and asthma. The system can serve as both sleep recorder and spirometer. Additionally, a mobile phone or a PC connected to the Internet serving as a monitoring and transfer terminal makes telemedicine achievable. Several experiments were conducted to verify the feasibility and effectiveness of the proposed system for monitoring and diagnosing OSA, COPD, and asthma.

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Year:  2012        PMID: 22875237     DOI: 10.1109/TBME.2012.2211354

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  Effectively Measuring Respiratory Flow With Portable Pressure Data Using Back Propagation Neural Network.

Authors:  Dayong Fan; Jiachen Yang; Junbao Zhang; Zhihan Lv; Haojun Huang; Jun Qi; Po Yang
Journal:  IEEE J Transl Eng Health Med       Date:  2018-01-26       Impact factor: 3.316

2.  A mainstream monitoring system for respiratory CO2 concentration and gasflow.

Authors:  Jiachen Yang; Bobo Chen; Kyle Burk; Haitao Wang; Jianxiong Zhou
Journal:  J Clin Monit Comput       Date:  2015-07-16       Impact factor: 2.502

3.  Combination mode of physiological signals for diagnosis of OSAS using portable monitor.

Authors:  Peng Jiang; Rong Zhu; Xiaosong Dong; Yuan Chang
Journal:  Sleep Breath       Date:  2017-07-26       Impact factor: 2.816

4.  Smart Sensing Strip Using Monolithically Integrated Flexible Flow Sensor for Noninvasively Monitoring Respiratory Flow.

Authors:  Peng Jiang; Shuai Zhao; Rong Zhu
Journal:  Sensors (Basel)       Date:  2015-12-15       Impact factor: 3.576

5.  Elimination of Drifts in Long-Duration Monitoring for Apnea-Hypopnea of Human Respiration.

Authors:  Peng Jiang; Rong Zhu
Journal:  Sensors (Basel)       Date:  2016-10-25       Impact factor: 3.576

6.  Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing.

Authors:  David Naranjo-Hernández; Alejandro Talaminos-Barroso; Javier Reina-Tosina; Laura M Roa; Gerardo Barbarov-Rostan; Pilar Cejudo-Ramos; Eduardo Márquez-Martín; Francisco Ortega-Ruiz
Journal:  Sensors (Basel)       Date:  2018-07-03       Impact factor: 3.576

7.  Diagnostic value of smartphone in obstructive sleep apnea syndrome: A systematic review and meta-analysis.

Authors:  Do Hyun Kim; Sung Won Kim; Se Hwan Hwang
Journal:  PLoS One       Date:  2022-05-19       Impact factor: 3.240

8.  Towards breath sensors that are self-powered by design.

Authors:  Lucy Fitzgerald; Luis Lopez Ruiz; Joe Zhu; John Lach; Daniel Quinn
Journal:  R Soc Open Sci       Date:  2022-09-21       Impact factor: 3.653

9.  An RFID-Based Method for Multi-Person Respiratory Monitoring.

Authors:  Chaowei Zang; Chi Zhang; Min Zhang; Qiang Niu
Journal:  Sensors (Basel)       Date:  2022-08-17       Impact factor: 3.847

10.  MIOTIC study: a prospective, multicenter, randomized study to evaluate the long-term efficacy of mobile phone-based Internet of Things in the management of patients with stable COPD.

Authors:  Jing Zhang; Yuan-Lin Song; Chun-Xue Bai
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2013-09-19
  10 in total

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