Literature DB >> 11556682

Development of real-time image sequence analysis for evaluating posture change and respiratory rate of a subject in bed.

K Nakajim1, Y Matsumoto, T Tamura.   

Abstract

An image sequence analysis technique was developed to evaluate posture change and respiratory rate of a subject in bed without any physical contact. Although the image sequence analysis requires many calculations, the system can perform them in real time. The system consisted of a CCD video camera and a PC equipped with a high-speed image processor. To evaluate the system, we tested it on five subjects at a nursing home. The system evaluated 99.4% of the movements of subjects during the total monitoring time (about 61 hours). The waveform was flat when the subject was out of view of the video camera. The system has the possibility of evaluating not only posture changes and respiratory rate. but also sleeping patterns.

Mesh:

Year:  2001        PMID: 11556682     DOI: 10.1088/0967-3334/22/3/401

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  13 in total

Review 1.  A review of signals used in sleep analysis.

Authors:  A Roebuck; V Monasterio; E Gederi; M Osipov; J Behar; A Malhotra; T Penzel; G D Clifford
Journal:  Physiol Meas       Date:  2013-12-17       Impact factor: 2.833

2.  Vision-Based Heart and Respiratory Rate Monitoring During Sleep - A Validation Study for the Population at Risk of Sleep Apnea.

Authors:  Kaiyin Zhu; Michael Li; Sina Akbarian; Maziar Hafezi; Azadeh Yadollahi; Babak Taati
Journal:  IEEE J Transl Eng Health Med       Date:  2019-10-14       Impact factor: 3.316

Review 3.  Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.

Authors:  Haythem Rehouma; Rita Noumeir; Sandrine Essouri; Philippe Jouvet
Journal:  Sensors (Basel)       Date:  2020-12-17       Impact factor: 3.576

4.  Noncontact Pressure-Based Sleep/Wake Discrimination.

Authors:  Lorcan Walsh; Sean McLoone; Joseph Ronda; Jeanne F Duffy; Charles A Czeisler
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-25       Impact factor: 4.538

5.  Simultaneous Tracking of Cardiorespiratory Signals for Multiple Persons Using a Machine Vision System With Noise Artifact Removal.

Authors:  Ali Al-Naji; Javaan Chahl
Journal:  IEEE J Transl Eng Health Med       Date:  2017-09-29       Impact factor: 3.316

6.  Contact and Remote Breathing Rate Monitoring Techniques: A Review.

Authors:  Mohamed Ali; Ali Elsayed; Arnaldo Mendez; Yvon Savaria; Mohamad Sawan
Journal:  IEEE Sens J       Date:  2021-04-12       Impact factor: 4.325

7.  Automatic Video Analysis for Obstructive Sleep Apnea Diagnosis.

Authors:  Jorge Abad; Aida Muñoz-Ferrer; Miguel Ángel Cervantes; Cristina Esquinas; Alicia Marin; Carlos Martínez; Josep Morera; Juan Ruiz
Journal:  Sleep       Date:  2016-08-01       Impact factor: 5.849

8.  Respiratory rate detection algorithm based on RGB-D camera: theoretical background and experimental results.

Authors:  Flavia Benetazzo; Alessandro Freddi; Andrea Monteriù; Sauro Longhi
Journal:  Healthc Technol Lett       Date:  2014-09-29

9.  Neonatal non-contact respiratory monitoring based on real-time infrared thermography.

Authors:  Abbas K Abbas; Konrad Heimann; Katrin Jergus; Thorsten Orlikowsky; Steffen Leonhardt
Journal:  Biomed Eng Online       Date:  2011-10-20       Impact factor: 2.819

10.  Design of a novel flexible capacitive sensing mattress for monitoring sleeping respiratory.

Authors:  Wen-Ying Chang; Chien-Chun Huang; Chi-Chun Chen; Chih-Cheng Chang; Chin-Lung Yang
Journal:  Sensors (Basel)       Date:  2014-11-20       Impact factor: 3.576

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