Reprint of “Non-invasive measure of respiratory mechanics and conventional respiratory parameters in conscious large animals by high frequency Airwave Oscillometry”

2014 ◽  
Vol 70 (3) ◽  
pp. 283-286
Author(s):  
Leanne Bassett ◽  
Eric Troncy ◽  
Annette Robichaud ◽  
Thomas F. Schuessler ◽  
Mylène Pouliot ◽  
...  
Keyword(s):  
High Frequency ◽  
Respiratory Mechanics ◽  
Non Invasive ◽  
Respiratory Parameters ◽  
Large Animals

scholarly journals A novel non-invasive, non-conductive method for measuring respiration

2020 ◽  
Vol 9 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Jan Ringkamp ◽  
Philipp Radler ◽  
Philipp Lebhardt ◽  
Jens Langejürgen
Keyword(s):  
High Frequency ◽  
Effective Permittivity ◽  
Artificial Lung ◽  
High Reproducibility ◽  
Promising Candidate ◽  
Dynamic Changes ◽  
Non Invasive ◽  
Respiratory Parameters ◽  
Strong Linear Correlation ◽  
Novel Method

Abstract. We present a novel method for measuring dynamic changes in respiration parameters due to breathing based on the coupling of two ultra-high-frequency (UHF) antennae. For evaluation, we built a dynamic 3-D printed phantom encasing two compartments separated by an elastic diaphragm. By filling this artificial lung with air the effective permittivity in the compartment changes, resulting in a significant variation of the S21 parameter's magnitude and phase. We show that there is a strong linear correlation between the volume of air in the artificial lung and the magnitude (in dB) of the S21 parameter (R2=0.997) as well as the parameter's phase (R2=0.975). Our sensor system shows a high reproducibility (standard deviation of predicted volume =0.67 mL) and a timing similar to a conventional flow sensor (delay =5.33 ms). The presented method is a promising candidate to overcome some of the most important technical burdens of measuring respiratory parameters and might be used as a trigger for patient–ventilator synchronization in infants and neonates.

scholarly journals Non-invasive high-frequency oscillatory ventilation in preterm infants after extubation: a randomized, controlled trial

2021 ◽  
Vol 49 (2) ◽  
pp. 030006052098491
Author(s):  
Yan Li ◽  
Qiufen Wei ◽  
Dan Zhao ◽  
Yan Mo ◽  
Liping Yao ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Preterm Infants ◽  
High Frequency ◽  
Controlled Trial ◽  
High Frequency Oscillatory Ventilation ◽  
Positive Pressure ◽  
Non Invasive ◽  
Randomized Controlled ◽  
Oscillatory Ventilation ◽  
High Frequency Oscillatory

Objective To investigate the effectiveness and safety of non-invasive high-frequency oscillatory ventilation (NHFOV) in post-extubation preterm infants. Methods This was a randomized, controlled trial. A total of 149 preterm infants aged between 25 to 34 weeks’ gestational age with a birth weight of <1500 g who required invasive mechanical ventilation on admission were included. After extubation, they were randomized to the NHFOV group (n = 47), nasal intermittent positive pressure ventilation (NIPPV) group (n = 51), or nasal continuous positive airway pressure (NCPAP) group (n = 51). We compared the effectiveness and safety among these three groups. Results A total of 139 preterm infants finally completed the study. The reintubation rate was significantly lower in the NHFOV group than in the other groups. The duration of non-invasive ventilation and the length of hospital stay in the NHFOV and NIPPV groups were significantly shorter than those in the NCPAP group. The incidence of bronchopulmonary dysplasia in the NHFOV and NIPPV groups was significantly lower than that in the NCPAP group. The NHFOV group had significantly less nasal injury than the NCPAP group. Conclusion As post-extubation respiratory support in preterm infants, NHFOV has a lower reintubation rate compared with NCPAP and NIPPV, without increasing the rate of complications.

Increased high-frequency heart rate variability during insulin-induced hypoglycaemia in healthy humans

2004 ◽  
Vol 106 (6) ◽  
pp. 583-588 ◽  
Author(s):  
Hartmut SCHÄCHINGER ◽  
Johannes PORT ◽  
Stuart BRODY ◽  
Lilly LINDER ◽  
Frank H. WILHELM ◽  
...  
Keyword(s):  
Heart Rate ◽  
High Frequency ◽  
Concomitant Increase ◽  
Plasma Adrenaline ◽  
Non Invasive ◽  
Hyperinsulinaemic Clamp ◽  
Healthy Humans ◽  
Plasma Insulin Levels ◽  
Single Blind ◽  
Cardiac Autonomic Activity

Despite causing sympathetic activation, prolonged hypoglycaemia produces little change in HR (heart rate) in healthy young adults. One explanation could be concurrent parasympathetic activation, resulting in unchanged net effects of autonomic influences. In the present study, hypoglycaemic (2.7 mmol/l) and normoglycaemic (4.7 mmol/l) hyperinsulinaemic clamp studies were performed after normoglycaemic baseline clamp periods with 15 healthy volunteers (seven male; mean age, 27 years) on two occasions in a randomized single-blind cross-over design. Non-invasive indices of cardiac autonomic activity and hormones were measured at baseline and 1 h after the beginning of hypoglycaemia or control normoglycaemia. Plasma insulin levels and mean HR were similar during both conditions. During hypoglycaemia, there was a 485% increase in plasma adrenaline (epinephrine). A shortening of the pre-ejection period by 45% suggested strong sympathetic cardiac activation. High-frequency (0.15–0.45 Hz) HRV (HR variability) increased, indicating a concomitant increase in parasympathetic tone. Thus, during hypoglycaemia-induced sympathetic cardiac activation in healthy adults, parasympathetic mechanisms are involved in stabilizing mean HR.

scholarly journals Respiration parameter determination with non-obstructive methods

2020 ◽  
Vol 18 ◽  
pp. 89-95
Author(s):  
Sven Fisahn ◽  
Christian Siebauer ◽  
Jan Ringkamp ◽  
Kirsten J. Dehning ◽  
Stefan Zimmermann ◽  
...  
Keyword(s):  
Tidal Volume ◽  
High Frequency ◽  
Positive Airway Pressure ◽  
Artificial Ventilation ◽  
Parameter Determination ◽  
Dynamic Changes ◽  
Endotracheal Tubes ◽  
Respiratory Parameters ◽  
Lung Phantom ◽  
Difference Time

Abstract. Measuring respiratory parameters like the breathing frequency or the tidal volume is essential in intensive care to ensure an optimal and lung protecting ventilation. A common practice in artificial ventilation of sensitive patients like infants or neonates is the use of uncuffed endotracheal tubes in combination with continuous positive airway pressure (CPAP). This comes with the disadvantage of an unknown leakage making it difficult to detect spontaneous breathing or to measure the tidal volume reliable. A novel non-obstructive method to determine respiratory parameters as well as dynamic changes of thoracic parameters has recently been presented and uses a pair of coupled UHF (ultra high frequency) antennae. In this paper, a respective setup is investigated numerically using finite difference time domain method and experimentally using an artificial lung phantom. Both approaches show that the investigated method seems capable of allowing a contactless triggering to synchronize natural and artificial breathing. The results are compared to derive a better understanding of influencing factors and opportunities for an optimisation.

scholarly journals A Neuromorphic Spiking Neural Network Detects Epileptic High Frequency Oscillations in the Scalp EEG

2021 ◽  
Author(s):  
Karla Burelo ◽  
Georgia Ramantani ◽  
Giacomo Indiveri ◽  
Johannes Sarnthein
Keyword(s):  
Low Power ◽  
Seizure Frequency ◽  
High Frequency ◽  
Therapy Monitoring ◽  
Non Invasive ◽  
Scalp Eeg ◽  
High Frequency Oscillations ◽  
Eeg Recordings ◽  
Active Epilepsy ◽  
Wearable Electronic Devices

Abstract Background: Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This has aroused interest in investigating their potential as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. The demand for therapy monitoring in epilepsy has kindled interest in compact wearable electronic devices for long- term EEG recording. Spiking neural networks (SNN) have been shown to be optimal architectures for being embedded in compact low-power signal processing hardware. Methods: We analyzed 20 scalp EEG recordings from 11 patients with pediatric focal lesional epilepsy. We designed a custom SNN to detect events of interest (EoI) in the 80-250 Hz ripple band and reject artifacts in the 500-900 Hz band. Results: We identified the optimal SNN parameters to automatically detect EoI and reject artifacts. The occurrence of HFO thus detected was associated with active epilepsy with 80% accuracy. The HFO rate mirrored the decrease in seizure frequency in 8 patients (p = 0.0047). Overall, the HFO rate correlated with seizure frequency (rho = 0.83, p < 0.0001, Spearman’s correlation).Conclusions: The fully automated SNN detected clinically relevant HFO in the scalp EEG. This is a further step towards non-invasive epilepsy monitoring with a low-power wearable device.

scholarly journals Improved Anatomical Specificity of Non-invasive Neuro-stimulation by High Frequency (5 MHz) Ultrasound

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Guo-Feng Li ◽  
Hui-Xia Zhao ◽  
Hui Zhou ◽  
Fei Yan ◽  
Jing-Yao Wang ◽  
...  
Keyword(s):  
High Frequency ◽  
Non Invasive

Abstract 13216: Initial Survey of Respiratory Mechanics During Prehospital Bag Ventilation

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Betty Y Yang ◽  
Jennifer E Blackwood ◽  
Jenny Shin ◽  
Sally Guan ◽  
Mengqi Gao ◽  
...  
Keyword(s):  
Tidal Volume ◽  
Respiratory Mechanics ◽  
Predicted Body Weight ◽  
Convenience Sample ◽  
Measuring Device ◽  
Respiratory Parameters ◽  
Initial Survey ◽  
Post Intubation ◽  
End Tidal ◽  
The Relationship

Introduction: Respiratory mechanics, such as tidal volume and inspiratory pressures, affect outcome in hospitalized patients with respiratory failure. The ability to accurately measure respiratory mechanics in the prehospital setting is limited, thus the relationship between prehospital respiratory mechanics and clinical outcome is not well understood. In this feasibility study, we examined respiratory mechanics of bag-valve mask (BVM) ventilation by emergency medical services (EMS) using a novel in-line measuring device during a period when agencies switched from larger to smaller ventilation bags. Methods: This prospective cohort study included a convenience sample of adult patients who received BVM ventilation by EMS, from August 2018 to January 2020, in Bellevue, Washington. The airway monitoring device was applied by paramedics after intubation to passively record in black box mode, until termination of efforts or hospital arrival. Respiratory parameters included tidal volume, airway pressure, flow rates, end-tidal carbon dioxide, and respiratory rate. Prehospital agencies transitioned from large (1500 mL) to small (1000 mL) ventilation bags during the study period. Results: 7371 post-intubation breaths were measured in 54 patients, 32 treated for out-of-hospital cardiac arrest (OHCA) and 22 treated for non-arrest conditions, primarily respiratory etiology. EMS ventilated 19 patients with a small bag and 35 patients with a large bag. Ventilation with a smaller bag was characterized by less variability in tidal volumes and higher proportion of breaths delivered within 4-10 mL/kg of predicted body weight (Figure) (p<0.05). Conclusions: Respiratory mechanics can be measured in EMS patients receiving BVM ventilation following intubation. Ventilation with a smaller bag might reduce variation in tidal volume, but further study is needed. These data provide the first evaluation of respiratory mechanics during manual ventilation provided by EMS.

scholarly journals Nasal high-frequency oscillatory ventilation (nHFOV) versus nasal continuous positive airway pressure (NCPAP) as an initial therapy for respiratory distress syndrome (RDS) in preterm and near-term infants

2019 ◽  
Vol 3 (1) ◽  
pp. e000443 ◽  
Author(s):  
Ramin Iranpour ◽  
Amir-Mohammad Armanian ◽  
Ahmad-Reza Abedi ◽  
Ziba Farajzadegan
Keyword(s):  
High Frequency ◽  
Airway Pressure ◽  
Distress Syndrome ◽  
Positive Airway Pressure ◽  
High Frequency Oscillatory Ventilation ◽  
Respiratory Support ◽  
Term Infants ◽  
Non Invasive ◽  
Near Term ◽  
High Frequency Oscillatory

BackgroundCurrently, various forms of non-invasive respiratory support have been used in the management of respiratory distress syndrome (RDS) in preterm neonates. However, nasal high-frequency oscillatory ventilation (nHFOV) has not yet been applied commonly as an initial treatment.ObjectivesThis study was designed to investigate the efficacy and safety of nHFOV compared with nasal continuous positive airway pressure (NCPAP) in preterm and near-term infants with RDS.MethodsIn a randomised clinical trial, a total of 68 neonates (gestational age (GA) between 30 and 36 weeks and 6 days) with a clinical diagnosis of RDS were randomly assigned to either the NCPAP (n=34) or the nHFOV (n=34) group. The primary outcome was the duration of non-invasive respiratory support (duration of using NCPAP or nHFOV).ResultThe median (IQR) duration of non-invasive respiratory support, was significantly shorter in the nHFOV group than that in the NCPAP group (20 (15–25.3) versus 26.5 (15–37.4) hours, respectively; p=0.02). The need for a ventilator occurred in 4 out of 34 (11.8%) neonates in the NCPAP group and in none of the neonates in the nHFOV group (p=0.03). In addition, intraventricular haemorrhage (IVH) occurred in nine cases (6.9%) in the NCPAP group and two cases (3.3%) in the nHFOV group, which showed a significant difference (p=0.04). The incidence of pneumothorax, chronic lung disease, pulmonary haemorrhage and necrotising enterocolitis was similar between the two groups.ConclusionThis study showed that nHFOV significantly reduced the duration of non-invasive respiratory support and decreased the need for intubation compared with NCPAP in infants with RDS. Furthermore, nHFOV seems to reduce the incidence of IVH without increasing other complications.Trial registration numberIRCT2017062734782N1.

scholarly journals A Sensor Platform for Athletes’ Training Supervision: A Proof of Concept Study

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3948 ◽  
Author(s):  
Zompanti ◽  
Sabatini ◽  
Santonico ◽  
Grasso ◽  
Gianfelici ◽  
...  
Keyword(s):  
Least Squares Method ◽  
Maximal Oxygen Consumption ◽  
Lactate Concentration ◽  
Carbon Dioxide Production ◽  
Exhaled Breath ◽  
Non Invasive ◽  
Sport Practice ◽  
Novel Approach ◽  
Respiratory Parameters ◽  
Partial Least Squares Method

One of the basic needs of professional athletes is the real-time and non-invasive monitoring of their activities. The use of these kind of data is necessary to develop strategies for specific tailored training in order to improve performances. The sensor system presented in this work has the aim to adopt a novel approach for the monitoring of physiological parameters, and athletes’ performances, during their training. The anaerobic threshold is herein identified with the monitoring of the lactate concentration and the respiratory parameters. The data collected by the sensor are used to build a model using a supervised method (based on the partial least squares method, PLS) to predict the values of the parameters of interest. The sensor is able to measure the lactate concentration from a sample of saliva and it can estimate a respiratory parameter, such as maximal oxygen consumption, maximal carbon dioxide production and respiratory rate from a sample of exhaled breath. The main advantages of the device are the low power; the wireless communication; and the non-invasive sampling method, which allow its use in a real context of sport practice.

Sign in / Sign up

Export Citation Format

Share Document