scholarly journals Contactless Monitoring of Breathing Patterns and Respiratory Rate at the Pit of the Neck: A Single Camera Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Carlo Massaroni ◽  
Daniel Simões Lopes ◽  
Daniela Lo Presti ◽  
Emiliano Schena ◽  
Sergio Silvestri
Keyword(s):  
Respiratory Rate ◽  
Frequency Domain ◽  
Time Domain ◽  
Breathing Pattern ◽  
Vital Signs ◽  
Image Resolution ◽  
Measuring System ◽  
Respiratory Pattern ◽  
Breathing Patterns ◽  
Vital Signs Monitoring

Vital signs monitoring is pivotal not only in clinical settings but also in home environments. Remote monitoring devices, systems, and services are emerging as tracking vital signs must be performed on a daily basis. Different types of sensors can be used to monitor breathing patterns and respiratory rate. However, the latter remains the least measured vital sign in several scenarios due to the intrusiveness of most adopted sensors. In this paper, we propose an inexpensive, off-the-shelf, and contactless measuring system for respiration signals taking as region of interest the pit of the neck. The system analyses video recorded by a single RGB camera and extracts the respiratory pattern from intensity variations of reflected light at the level of the collar bones and above the sternum. Breath-by-breath respiratory rate is then estimated from the processed breathing pattern. In addition, the effect of image resolution on monitoring breathing patterns and respiratory rate has been investigated. The proposed system was tested on twelve healthy volunteers (males and females) during quiet breathing at different sensor resolution (i.e., HD 720, PAL, WVGA, VGA, SVGA, and NTSC). Signals collected with the proposed system have been compared against a reference signal in both the frequency domain and time domain. By using the HD 720 resolution, frequency domain analysis showed perfect agreement between average breathing frequency values gathered by the proposed measuring system and reference instrument. An average mean absolute error (MAE) of 0.55 breaths/min was assessed in breath-by-breath monitoring in the time domain, while Bland-Altman showed a bias of −0.03 ± 1.78 breaths/min. Even in the case of lower camera resolution setting (i.e., NTSC), the system demonstrated good performances (MAE of 1.53 breaths/min, bias of −0.06 ± 2.08 breaths/min) for contactless monitoring of both breathing pattern and breath-by-breath respiratory rate over time.

scholarly journals Non-Contact Monitoring of Breathing Pattern and Respiratory Rate via RGB Signal Measurement

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2758 ◽  
Author(s):  
Carlo Massaroni ◽  
Daniela Lo Presti ◽  
Domenico Formica ◽  
Sergio Silvestri ◽  
Emiliano Schena
Keyword(s):  
Respiratory Rate ◽  
Vital Signs ◽  
Absolute Error ◽  
Video Data ◽  
Measuring System ◽  
Respiratory Pattern ◽  
Percentage Error ◽  
Contactless Measurement ◽  
Pixel Intensity ◽  
Intensity Changes

Among all the vital signs, respiratory rate remains the least measured in several scenarios, mainly due to the intrusiveness of the sensors usually adopted. For this reason, all contactless monitoring systems are gaining increasing attention in this field. In this paper, we present a measuring system for contactless measurement of the respiratory pattern and the extraction of breath-by-breath respiratory rate. The system consists of a laptop’s built-in RGB camera and an algorithm for post-processing of acquired video data. From the recording of the chest movements of a subject, the analysis of the pixel intensity changes yields a waveform indicating respiratory pattern. The proposed system has been tested on 12 volunteers, both males and females seated in front of the webcam, wearing both slim-fit and loose-fit t-shirts. The pressure-drop signal recorded at the level of nostrils with a head-mounted wearable device was used as reference respiratory pattern. The two methods have been compared in terms of mean of absolute error, standard error, and percentage error. Additionally, a Bland–Altman plot was used to investigate the bias between methods. Results show the ability of the system to record accurate values of respiratory rate, with both slim-fit and loose-fit clothing. The measuring system shows better performance on females. Bland–Altman analysis showed a bias of −0.01 breaths · min − 1 , with respiratory rate values between 10 and 43 breaths · min − 1 . Promising performance has been found in the preliminary tests simulating tachypnea.

Advance Monitoring of Blood Pressure and Respiratory Rate Using De-Noising Auto Encoder

2021 ◽  
Author(s):  
Seung-Ho Park ◽  
Kyoung-Su Park
Keyword(s):  
Blood Pressure ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Superficial Temporal Artery ◽  
Vital Signs ◽  
Pulse Signal ◽  
Temporal Artery ◽  
Sinus Arrhythmia ◽  
Vital Signs Monitoring ◽  
Vital Sign Measurement

Abstract As the importance of continuous vital signs monitoring increases, the need for wearable devices to measure vital sign is increasing. In this study, the device is designed to measure blood pressure (BP), respiratory rate (RR), and heartrate (HR) with one sensor. The device is in earphone format and is manufactured as wireless type using Arduino-based bluetooth module. The device measures pulse signal in the Superficial temporal artery using Photoplethysmograghy (PPG) sensor. The device uses the Auto Encoder to remove noise caused by movement, etc., contained in the pulse signal. Extract the feature from the pulse signal and use them for the vital sign measurement. The device is measured using Slope transit time (STT) method for BP and Respiratory sinus arrhythmia (RSA) method for RR. Finally, the accuracy is determined by comparing the vital signs measured through the device with the reference vital signs measured simultaneously.

Pulse oximetry and the enduring neglect of respiratory rate assessment: a commentary on patient surveillance

2019 ◽  
Vol 28 (19) ◽  
pp. 1256-1259
Author(s):  
Malcolm Elliott ◽  
Jill Baird
Keyword(s):  
Pulse Oximetry ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Vital Signs ◽  
Clinical Tool ◽  
Vital Signs Monitoring ◽  
Poor Understanding ◽  
Clinical Surveillance ◽  
The Common ◽  
Assessment Research

Clinical surveillance provides essential data on changes in a patient's condition. The common method for performing this surveillance is the assessment of vital signs. Despite the importance of these signs, research has found that vital signs are not rigorously assessed in clinical practice. Respiratory rate, arguably the most important vital sign, is the most neglected. Poor understanding might contribute to nurses incorrectly valuing oxygen saturation more than respiratory rate. Nurses need to understand the importance of respiratory rate assessment as a vital sign and the benefits and limitations of pulse oximetry as a clinical tool. By better understanding pulse oximetry and respiratory rate assessment, nurses might be more inclined to conduct rigorous vital signs' assessment. Research is needed to understand why many nurses do not appreciate the importance of vital signs' monitoring.

scholarly journals A Low Cost Wearable Medical Device for Vital Signs Monitoring in Low-Resource Settings

2019 ◽  
Vol 9 (4) ◽  
pp. 2321
Author(s):  
Muhammad Niswar ◽  
Muhammad Nur ◽  
Idar Mappangara
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Medical Device ◽  
Low Cost ◽  
Vital Signs ◽  
Oxygen Saturation Level ◽  
Low Resource Settings ◽  
Low Resource ◽  
Vital Signs Monitoring ◽  
Wearable Medical

Medical devices are often expensive, so people in low-income countries cannot afford them. This paper presents the design of a low-cost wearable medical device to measure vital signs of a patient including heart rate, blood oxygen saturation level (SpO2) and respiratory rate. The wearable medical device mainly consists of a microcontroller and two biomedical sensors including airflow thermal sensor to measure respiratory rate and pulse oximeter sensor to measure SpO2 and heart rate. We can monitor the vital signs from a smartphone using a web browser through IEEE802.11 wireless connectivity to the wearable medical device. Furthermore, the wearable medical device requires simple management to operate; hence, it can be easily used. Performance evaluation results show that the designed wearable medical device works as good as a standard SpO2 device and it can measure the respiratory rate properly.  The designed wearable medical device is inexpensive and appropriate for low-resource settings. Moreover, as its components are commonly available in the market, it easy to assembly and repair locally.

scholarly journals Nurse Trend in Writing Objectives and Outcome Criteria of Nursing Diagnosis in Patients With Pulmonary Tuberculosis at The Government Hospital in Salatiga Indonesia

2019 ◽  
Vol 2 (2) ◽  
pp. 12
Author(s):  
Muhamad Rofii ◽  
Bambang Edi Warsito ◽  
Agus Santoso ◽  
Sarah Ulliya
Keyword(s):  
Respiratory Rate ◽  
Vital Signs ◽  
Sampling Technique ◽  
Breathing Patterns ◽  
Study Objective ◽  
Airway Clearance ◽  
Nursing Diagnosis ◽  
The Government ◽  
Nursing Diagnoses ◽  
Outcome Criteria

Background. Writing nursing goals and outcome criteria found in nursing care documentation was very varied and not appropriately, it needs to be explored more deeply about the phenomenon. The Study objective was to determine the writing of nursing goals and the outcome criteria for nursing diagnoses. Methods. Research design was qualitative research with a direct observation approach. Data was taken in the MDR TB ward, samples were 100 documentation of pulmonary TB patients. Sampling technique was nonprobability sampling. Result. The goal of nursing diagnosis of ineffective airway clearance was airway clearance effectively again, the problem was resolved, the patient's airway returned to normal and coughing the patient returns to normal, etc. The goal of nursing diagnosis of ineffective breathing patterns was effective breathing patterns, ineffective breathing patterns resolved, etc. The outcome criteria of nursing diagnosis ineffective airway clearence was negative cough, normal respiratory rate, normal vital signs, negative sputum, shortness of breath, coughing resolved, comfortable patients, patients can demonstrate coughing effectively, sputum can come out, breath was relieved, sputum can come out, etc. The outcome criteria for nursing diagnosis ineffective breathing patterns are normal respiratory rate, normal vital signs, respiratory rate was 20 x/minute, it was not weakness, It was not nausea, etc. Recomendation. Nurses are advised to be given trainings, sosialisation, or workshops related to the goals and outcome criteria of nursing diagnoses, and are expected to use NANDA and NIC-NOC references.

The Application of Adaptive Canceling in Chaos Identification

2003 ◽  
Author(s):  
Shuyong Liu ◽  
Shijian Zhu ◽  
Zhenming Liu ◽  
Weiian Qian
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Chaotic Signal ◽  
Lms Algorithm ◽  
Measuring System ◽  
Adaptive Technique ◽  
Time Domain Response ◽  
The Time Domain

The time domain response of a system is inevitably contaminated by noise arising from the environment as well as the measuring system itself. So an effective method is needed to reduce the noise components. The characteristic of the chaotic signal and noise in the frequency domain is analyzed. An adaptive canceling system based on the LMS algorithm is applied to process the contaminated signal. The simulation result shows that the adaptive technique can meet the goal.

scholarly journals ANTITUSSIVE ACTIVITY ASSAYOF SAGE (LANTANA CAMARA L.)LEAVES BASED ON THE BREATHING PATTERN OF MALE GUINEA PIGS USING ADOBE AUDITION 1.5 PROGRAM

2017 ◽  
pp. 124-127
Author(s):  
Wa Ode Yuliastri ◽  
Andreanus Soemardji ◽  
Mus Ifaya
Keyword(s):  
Guinea Pig ◽  
Guinea Pigs ◽  
Breathing Pattern ◽  
Water Extract ◽  
Ethanol Extract ◽  
Lantana Camara ◽  
Respiratory Pattern ◽  
Breathing Patterns ◽  
Water Fraction ◽  
Antitussive Activity

Objective: The present study was aimed to assay antitussive activity of Sage (Lantana camara L.)leavesMethods: Antitussive Assay was conducted based on The Breathing Pattern of Male Guinea Pigs Using Adobe Audition 1.5 Program.Results: Comparison of the frequency of breathing patterns guinea pig groups sage (Lantana camara L.)  leaves water fraction at a dose of 4.58 mg/kg bw dose of 9.17 mg/kg bw and doses of 18.35 mg/kg bw statistically significantly different results (p<0.05), as well as the ratio of intensity of the breathing pattern of the guinea pig. As for the water extract, significant differences in the frequency comparison guinea pig respiratory pattern is only shown at a dose of 18.35 mg/kg bw on the other side for its intensity did not show significant differences (p<0.05).Conclusion: Ethanol extract of sage leaves in the form of three fractionation (ethyl acetate, n-hexane, and water) can improve the breathing pattern guinea pig cough, especially at a dose of 18.35 mg/kg bw. 

scholarly journals Agile mobile robotic platform for contactless vital signs monitoring

2020 ◽  
Author(s):  
Hen-Wei Huang ◽  
peter chai ◽  
Claas Ehmke ◽  
Gene Merewether ◽  
Fara Dadabhoy ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Skin Temperature ◽  
Disease Transmission ◽  
Vital Signs ◽  
Hospital Setting ◽  
Ground Truth ◽  
Blood Oxygen Saturation ◽  
Face To Face ◽  
Vital Signs Monitoring

The COVID-19 pandemic has accelerated methods to facilitate contactless evaluation of patients in hospital settings. By minimizing unnecessary in-person contact with individuals who may have COVID-19 disease, healthcare workers (HCW) can prevent disease transmission, and conserve personal protective equipment. Obtaining vital signs is a ubiquitous task that is commonly done in-person. To eliminate the need for in-person contact for vital signs measurement in the hospital setting, we developed Dr. Spot, an agile quadruped robotic system that comprises a set of contactless monitoring systems for measuring vital signs and a tablet computer to enable face-to-face medical interviewing. Dr. Spot is teleoperated by trained clinical staff to facilitate enhanced telemedicine. Specifically, it has the potential to simultaneously measure skin temperature, respiratory rate, heart rate, and blood oxygen saturation simultaneously while maintaining social distancing from the patients. This is important because fluctuations in vital sign parameters are commonly used in algorithmic decisions to admit or discharge individuals with COVID-19 disease. Here, we deployed Dr. Spot in a hospital setting with the ability to measure the vital signs from healthy volunteers from which the measurements of elevated skin temperature screening, respiratory rate, heart rate, and SpO2 were carefully verified with ground-truth sensors.

scholarly journals Agile mobile robotic platform for contactless vital signs monitoring

2020 ◽  
Author(s):  
Hen-Wei Huang ◽  
peter chai ◽  
Claas Ehmke ◽  
Gene Merewether ◽  
Fara Dadabhoy ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Skin Temperature ◽  
Disease Transmission ◽  
Vital Signs ◽  
Hospital Setting ◽  
Ground Truth ◽  
Blood Oxygen Saturation ◽  
Face To Face ◽  
Vital Signs Monitoring

The COVID-19 pandemic has accelerated methods to facilitate contactless evaluation of patients in hospital settings. By minimizing unnecessary in-person contact with individuals who may have COVID-19 disease, healthcare workers (HCW) can prevent disease transmission, and conserve personal protective equipment. Obtaining vital signs is a ubiquitous task that is commonly done in-person. To eliminate the need for in-person contact for vital signs measurement in the hospital setting, we developed Dr. Spot, an agile quadruped robotic system that comprises a set of contactless monitoring systems for measuring vital signs and a tablet computer to enable face-to-face medical interviewing. Dr. Spot is teleoperated by trained clinical staff to facilitate enhanced telemedicine. Specifically, it has the potential to simultaneously measure skin temperature, respiratory rate, heart rate, and blood oxygen saturation simultaneously while maintaining social distancing from the patients. This is important because fluctuations in vital sign parameters are commonly used in algorithmic decisions to admit or discharge individuals with COVID-19 disease. Here, we deployed Dr. Spot in a hospital setting with the ability to measure the vital signs from healthy volunteers from which the measurements of elevated skin temperature screening, respiratory rate, heart rate, and SpO2 were carefully verified with ground-truth sensors.

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