| 1. |
- Teng, Fei, et al.
(author)
-
Multimedia Monitoring System of Obstructive Sleep Apnea via Deep Active Learning Model
- 2022
-
In: IEEE Multimedia. - : IEEE. - 1070-986X .- 1941-0166. ; 29:3, s. 48-56
-
Journal article (peer-reviewed)abstract
- Obstructive Sleep Apnea (OSA) is one of the most common sleep-related breathing disorders. Nearly 1 billion people worldwide suffer from it, causing serious health effects and social burden. However, traditional monitoring systems often fall short in terms of cost and accessibility. In this article, we first propose a deep active learning model to detect OSA events from electrocardiogram (ECG). We then designed and developed a prototype of OSA monitoring system using ECG sensor and smartphone, in which our OSA detection algorithm is implemented and validated. Experiments show that we achieve accuracy of 92.15% while using 40% of labeled data, significantly reducing the cost of labeling and maximizing the performance. According to detection results and health-related multimedia signals, we provide OSA risk level and medical advice to users. We believe that the multimedia monitoring system can efficiently help diagnose OSA, which could lead to effective intervention strategies and better sleep care.
|
|
| 2. |
- Rissler, Jenny, et al.
(author)
-
An experimental study on lung deposition of inhaled 2 μm particles in relation to lung characteristics and deposition models
- 2023
-
In: Particle and Fibre Toxicology. - : BioMed Central Ltd. - 1743-8977. ; 20
-
Journal article (peer-reviewed)abstract
- Background: The understanding of inhaled particle respiratory tract deposition is a key link to understand the health effects of particles or the efficiency for medical drug delivery via the lung. However, there are few experimental data on particle respiratory tract deposition, and the existing data deviates considerably when comparing results for particles > 1 μm. Methods: We designed an experimental set-up to measure deposition in the respiratory tract for particles > 1 μm, more specifically 2.3 μm, with careful consideration to minimise foreseen errors. We measured the deposition in seventeen healthy adults (21–68 years). The measurements were performed at tidal breathing, during three consecutive 5-minute periods while logging breathing patterns. Pulmonary function tests were performed, including the new airspace dimension assessment (AiDA) method measuring distal lung airspace radius (r AiDA). The lung characteristics and breathing variables were used in statistical models to investigate to what extent they can explain individual variations in measured deposited particle fraction. The measured particle deposition was compared to values predicted with whole lung models. Model calculations were made for each subject using measured variables as input (e.g., breathing pattern and functional residual capacity). Results: The measured fractional deposition for 2.3 μm particles was 0.60 ± 0.14, which is significantly higher than predicted by any of the models tested, ranging from 0.37 ± 0.08 to 0.53 ± 0.09. The multiple-path particle dosimetry (MPPD) model most closely predicted the measured deposition when using the new PNNL lung model. The individual variability in measured particle deposition was best explained by breathing pattern and distal airspace radius (r AiDA) at half inflation from AiDA. All models underestimated inter-subject variability even though the individual breathing pattern and functional residual capacity for each participant was used in the model. Conclusions: Whole lung models need to be tuned and improved to predict the respiratory tract particle deposition of micron-sized particles, and to capture individual variations – a variation that is known to be higher for aged and diseased lungs. Further, the results support the hypothesis that the AiDA method measures dimensions in the peripheral lung and that r AiDA, as measured by the AiDA, can be used to better understand the individual variation in the dose to healthy and diseased lungs.
|
|
| 3. |
- Wasserstrom, Sebastian, et al.
(author)
-
Model visualization : from micro to macro
- 2022
-
In: 3D lung models for regenerating lung tissue. - 9780323908719 ; , s. 207-221
-
Book chapter (peer-reviewed)abstract
- Because of increasing demand, rapid development of in vitro and in vivo models to be used to study lung regeneration and lung repair has occurred during the last years. Even if imaging has always been an important tool in diagnosing disease and validating models, the current disease models, including three-dimensional (3D) lung models, put a higher demand on advanced imaging techniques. Moreover, choosing the most relevant technique for a specific question is not a trivial task, and the rapid development of new techniques has not made this task easier. Therefore the aim of this chapter is to provide an overview of different advanced imaging techniques that can be used to evaluate and validate 3D lung models, to provide a discussion on the current state of the art, and to list the pros and cons of the available techniques.
|
|
| 4. |
- Kumar, Abhinav, et al.
(author)
-
Differences in the coronal proteome acquired by particles depositing in the lungs of asthmatic versus healthy humans
- 2017
-
In: Nanomedicine. - : Elsevier BV. - 1549-9634 .- 1549-9642. ; 13:8, s. 2517-2521
-
Journal article (peer-reviewed)abstract
- Most inhaled nanomedicines in development are for the treatment of lung disease, yet little is known about their interaction with the respiratory tract lining fluids (RTLFs). Here we combined the use of nano-silica, as a protein concentrator, with label-free snapshot proteomics (LC-MS/MS; key findings confirmed by ELISA) to generate a quantitative profile of the RTLF proteome and provided insight into the evolved corona; information that may be used in future to improve drug targeting to the lungs by inhaled medicines. The asthmatic coronal proteome displayed a reduced contribution of surfactant proteins (SP-A and B) and a higher contribution of α1-antitrypsin. Pathway analysis suggested that asthmatic RTLFs may also be deficient in proteins related to metal handling (e.g. lactoferrin). This study demonstrates how the composition of the corona acquired by inhaled nanoparticles is modified in asthma and suggests depressed mucosal immunity even in mild airway disease.
|
|
