scholarly journals The Effect of Measurement Trends in Belt Breathing Sensors

2021 ◽  
Vol 6 (1) ◽  
pp. 84
Author(s):  
Erik Vanegas ◽  
Raúl Igual ◽  
Inmaculada Plaza

Sensors for respiratory monitoring can be classified into wearable and non-wearable systems. Wearable sensors can be worn in several positions, the chest being one of the most effective. In this paper, we have studied the performance of a new piezoresistive breathing sensing system to be worn on the chest with a belt. One of the main problems of belt-attached sensing systems is that they present trends in measurements due to subject movements or differences in subject constitution. These trends affect sensor performance. To mitigate them, it is possible to post-process the data to remove trends in measurements, but relevant data from the respiration signal may be lost. In this study, two different detrending methods are applied to respiration signals. After conducting an experimental study with 21 subjects who breathed in different positions with a chest piezoresistive sensor attached to a belt, detrending method 2 proved to be better at improving the quality of respiration signals.

2021 ◽  
Vol 11 (3) ◽  
pp. 1235
Author(s):  
Su Min Yun ◽  
Moohyun Kim ◽  
Yong Won Kwon ◽  
Hyobeom Kim ◽  
Mi Jung Kim ◽  
...  

The development of wearable sensors is aimed at enabling continuous real-time health monitoring, which leads to timely and precise diagnosis anytime and anywhere. Unlike conventional wearable sensors that are somewhat bulky, rigid, and planar, research for next-generation wearable sensors has been focused on establishing fully-wearable systems. To attain such excellent wearability while providing accurate and reliable measurements, fabrication strategies should include (1) proper choices of materials and structural designs, (2) constructing efficient wireless power and data transmission systems, and (3) developing highly-integrated sensing systems. Herein, we discuss recent advances in wearable devices for non-invasive sensing, with focuses on materials design, nano/microfabrication, sensors, wireless technologies, and the integration of those.


Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4075 ◽  
Author(s):  
Marco Ghislieri ◽  
Laura Gastaldi ◽  
Stefano Pastorelli ◽  
Shigeru Tadano ◽  
Valentina Agostini

Wearable sensors are de facto revolutionizing the assessment of standing balance. The aim of this work is to review the state-of-the-art literature that adopts this new posturographic paradigm, i.e., to analyse human postural sway through inertial sensors directly worn on the subject body. After a systematic search on PubMed and Scopus databases, two raters evaluated the quality of 73 full-text articles, selecting 47 high-quality contributions. A good inter-rater reliability was obtained (Cohen’s kappa = 0.79). This selection of papers was used to summarize the available knowledge on the types of sensors used and their positioning, the data acquisition protocols and the main applications in this field (e.g., “active aging”, biofeedback-based rehabilitation for fall prevention, and the management of Parkinson’s disease and other balance-related pathologies), as well as the most adopted outcome measures. A critical discussion on the validation of wearable systems against gold standards is also presented.


2016 ◽  
Vol 24 (3) ◽  
pp. 887-904 ◽  
Author(s):  
Lucia Vesnic-Alujevic ◽  
Melina Breitegger ◽  
Ângela Guimarães Pereira

2021 ◽  
Vol 20 (4) ◽  
pp. 768-773
Author(s):  
Meidona Nurul Milla ◽  
Yani Istadi ◽  
Vania Shaula ◽  
Deastri Anjeas Wari ◽  
Chntyia Dwi Cahyani Puspitasari ◽  
...  

Background: Infertility has been more common problems among couple of reproductive age. One of the factors causing this disorder is unhealthy environmental factors including exposure to cigarette smoke. Polynuclear aromatic hydrocarbons (PAHs) in cigarette smoke can cause testicular atrophy, while the free radicals can inhibit the stages of spermatogenesis, and nicotine in cigarettes affects the brain dopamine levels affecting the levels of GnRH, and subsequently affect the levels of FSH and LH needed in spermatogenesis. The use of Mucuna pruriens seed extract containing antioxidants and L-dopa is expected to improve the quality of sperm after exposure to cigarette smoke. Objective: This study aimed to determine the effect of Mucuna pruriens seed extract on the sperm quality in mice exposed to cigarette smoke. Methods: This study was an experimental study with a post test only control group design. A total of 20 mice were divided into 4 groups of five mice each. All groups were exposed to cigarette smoke. Group 1 was the negative control exposed to cigarette smoke. Groups 2, 3, 4 were exposed to cigarettes smoke and given Mucuna pruriens seed extracts at the dose of 250; 300; and 350 mg/Kg BW/day. Parameters of sperm quality included concentration, morphology, motility and viability. Results: Post hoc tests showed there were significant differences among treatment groups. Conclusion: the administration of Mucuna pruriens seed extract affects the sperm quality of BALB/c mice exposed to cigarettes smoke. Bangladesh Journal of Medical Science Vol.20(4) 2021 p.768-773


2022 ◽  
Vol 22 (2) ◽  
pp. 1-15
Author(s):  
Tu N. Nguyen ◽  
Sherali Zeadally

Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer from disadvantages such as deployment location limitation, geographical distance, as well as high construction and deployment costs of WSNs. Recently, various efforts have been promoting mobile crowd-sensing (such as a community with people using mobile devices) as a way to collect data based on existing resources. A Mobile Crowd-Sensing System can be considered as a Cyber-Physical System (CPS), because it allows people with mobile devices to collect and supply data to CPSs’ centers. In practical mobile crowd-sensing applications, due to limited budgets for the different expenditure categories in the system, it is necessary to minimize the collection of redundant information to save more resources for the investor. We study the problem of selecting participants in Mobile Crowd-Sensing Systems without redundant information such that the number of users is minimized and the number of records (events) reported by users is maximized, also known as the Participant-Report-Incident Redundant Avoidance (PRIRA) problem. We propose a new approximation algorithm, called the Maximum-Participant-Report Algorithm (MPRA) to solve the PRIRA problem. Through rigorous theoretical analysis and experimentation, we demonstrate that our proposed method performs well within reasonable bounds of computational complexity.


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