scholarly journals Enhanced Breathing Pattern Detection during Running Using Wearable Sensors

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5606
Author(s):  
Eric Harbour ◽  
Michael Lasshofer ◽  
Matteo Genitrini ◽  
Hermann Schwameder

Breathing pattern (BP) is related to key psychophysiological and performance variables during exercise. Modern wearable sensors and data analysis techniques facilitate BP analysis during running but are lacking crucial validation steps in their deployment. Thus, we sought to evaluate a wearable garment with respiratory inductance plethysmography (RIP) sensors in combination with a custom-built algorithm versus a reference spirometry system to determine its concurrent validity in detecting flow reversals (FR) and BP. Twelve runners completed an incremental running protocol to exhaustion with synchronized spirometry and RIP sensors. An algorithm was developed to filter, segment, and enrich the RIP data for FR and BP estimation. The algorithm successfully identified over 99% of FR with an average time lag of 0.018 s (−0.067,0.104) after the reference system. Breathing rate (BR) estimation had low mean absolute percent error (MAPE = 2.74 [0.00,5.99]), but other BP components had variable accuracy. The proposed system is valid and practically useful for applications of BP assessment in the field, especially when measuring abrupt changes in BR. More studies are needed to improve BP timing estimation and utilize abdominal RIP during running.

2018 ◽  
Vol 30 (2) ◽  
pp. 776-796 ◽  
Author(s):  
Markus Schuckert ◽  
Taegoo Terry Kim ◽  
Soyon Paek ◽  
Gyehee Lee

Purpose This study aims to empirically test a research model investigating the effects of authentic leadership (AL) and transformational leadership (TL) on follower service innovation behavior (SIB) with follower psychological capital (PsyCap) as a partial mediator. Design/methodology/approach Using data from a sample of 336 full-time frontline employees across 15 five-star hotels in Seoul, South Korea, over a time lag of one month, hypothesized relationships were analyzed with structural equation modeling. Findings The results suggest that AL has a greater effect on follower PsyCap and SIB than TL. In examining the role of PsyCap as a partial mediator, the results support the hypotheses that AL and TL trigger follower SIB directly but at the same time boost follower PsyCap, thus enhancing follower SIB. Practical implications The greater impact of AL on follower PsyCap and SIB suggests that the practice of corporate human resource management should place an emphasis on AL traits in leadership development. This study offers a useful perspective on the development of follower PsyCap and SIB by linking leadership traits. Originality/value By discussing AL and TL together within a single research framework, the study extends organizational psychology research by linking TL and AL to two important organizational psychological and performance variables, and exploring their comparative effects.


Author(s):  
Valerio Viero ◽  
Tamara Triossi ◽  
Daniele Bianchi ◽  
Alessandro Campagna ◽  
Giovanni Melchiorri

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 298-299
Author(s):  
Bailey L Basiel ◽  
Chad D Dechow ◽  
Tara L Felix

Abstract Objectives were to compare feedlot performance and carcass traits of F1 beef × Holstein steers and Holstein steers. Angus or Limousin × Holstein crossbred [n = 27; age = 12 ± 3 months; body weight (BW) = 435 ± 8 kg] and Holstein (n = 20; age = 11 ± 2 months; BW = 400 ± 9 kg) steers were fed at the Pennsylvania Department of Agriculture Livestock Evaluation Center for 111 days. Feed intake was recorded using the GrowSafe Feed Intake Monitoring System (Model 4000E, GrowSafe Systems Ltd., Calgary AB, Canada). The diet contained corn silage, dried distillers grains, soybean meal, and cracked corn and was formulated to meet or exceed the requirements of beef cattle (NASEM, 2016). Growth performance variables of interest and carcass measurements were analyzed with the Mixed procedure of SAS (SAS 9.4; SAS Institute Inc., Cary, NC). USDA assigned quality grades (QG) and yield grades (YG) were analyzed the with GLIMMIX procedure of SAS. Breed was a fixed effect in all models. There were no differences (P > 0.05) between breeds in average daily gain or feed efficiency. Crossbreds exceeded Holsteins in initial (P < 0.01) and final BW (P = 0.01), dry matter intake (P = 0.03), hot carcass weight (P < 0.01), backfat (P = 0.03), and ribeye area (REA; P < 0.01). Thirty-five percent (35%) of the Holsteins received a QG of Choice or above while 74% of crossbreds graded USDA Choice or above (P = 0.01). However, 75% of Holsteins were YG 2 or lower while only 45% of crossbreds achieved YG 2 or less (P = 0.05). There was no improvement in efficiency when crossbreds were compared to Holsteins; however, carcasses from crossbreds were more likely to grade USDA Choice or above while yielding greater REA and backfat than Holsteins.


1996 ◽  
Vol 28 (5) ◽  
pp. 783-817 ◽  
Author(s):  
L Suarez-Villa ◽  
C Karlsson

Sweden's research-intensive electronics industries have thrived by developing export-market niches that rely greatly on continuous innovation and substantial expenditures in R&D. Over the past two decades, three R&D-intensive sectors (telecommunications equipment, electronic instruments, and computing-equipment manufacturing) have experienced a progressive territorial distribution, that has made them less reliant on the metropolitan concentration of the capital for their outsourcing and research arrangements. In this article we explore the relationship between R&D intensity, territorial distribution, subcontracting, and establishment performance in the R&D-intensive electronics industries. The export performance of these industries is considered first, along with its relationship with employment characteristics and territorial location. An analysis of the territorial distribution, and its relationship with establishment downsizing and subcontracting, provides insights on the significance of lower costs and higher R&D intensity for small-scale operations. Statistical analyses of R&D intensity and performance variables that include labour skills, plant size, production costs, fixed capital assets, and profitability, with establishment-level survey data, provide important insights on the effects of subcontracting and any spatial differences resulting thereof.


2018 ◽  
Vol 26 (3) ◽  
pp. 323-331 ◽  
Author(s):  
Guillermo Olcina ◽  
Rafael Timón ◽  
Javier Brazo-Sayavera ◽  
Ismael Martínez-Guardado ◽  
Marta Marcos-Serrano ◽  
...  

2020 ◽  
Vol 1 (2) ◽  
pp. 108-118
Author(s):  
I Nengah Aristana ◽  
I Wayan Arta Artana

The development of the business world now requires all forms of business including cooperatives to do various ways to increase productivity and performance. One of the efforts in increasing productivity and performance is by building a high-performance work system. The purpose of this research is to find out the high performance work system in cooperatives. The number of respondents was 132 respondents with factor analysis analysis techniques. From the results of the analysis conducted found three factors as determinants of high performance work systems, namely the method of task delegation, internal planning and motivation.


2021 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Peter Leo ◽  
Iñigo Mujika ◽  
Justin Lawley

PURPOSE: The COVID-19 pandemic and its associated mobility restrictions caused many athletes to adjust or reduce their usual training load. The aim of this study was to investigate how the COVID-19 restrictions affected training and performance physiology measures in U23 elite cyclists. METHODS: Twelve U23 elite cyclists (n = 12) participated in this study (mean ± SD: Age 21.2 ± 1.2 years; height 182.9 ± 4.7 cm; body mass 71.4 ± 6.5 kg). Training characteristics were assessed between 30 days pre, during, and post COVID-19 restrictions, respectively. The physiological assessment in the laboratory was 30 days pre and post COVID-19 restrictions and included maximum oxygen uptake (V̇O2max), peak power output for sprint (SprintPmax), and ramp incremental graded exercise (GXTPmax), as well as power output at ventilatory threshold (VT) and respiratory compensation point (RCP). RESULTS: Training load characteristics before, during, and after the lockdown remained statistically unchanged (p > 0.05) despite large effects (>0.8) with mean reductions of 4.7 to 25.0% during COVID-19 restrictions. There were no significant differences in maximal and submaximal power outputs, as well as relative and absolute V̇O2max between pre and post COVID-19 restrictions (p > 0.05) with small to moderate effects. DISCUSSION: These results indicate that COVID-19 restrictions did not negatively affect training characteristics and physiological performance measures in U23 elite cyclists for a period of <30 days. In contrast with recent reports on professional cyclists and other elite level athletes, these findings reveal that as long as athletes are able to maintain and/or slightly adapt their training routine, physiological performance variables remain stable.


2020 ◽  
Vol 5 (2) ◽  
pp. 276
Author(s):  
M Zahari MS ◽  
Fakhrul Rozi Yamali ◽  
A Irfani

Theoretically outlined, Employee Performance can be influenced by several variables including Leadership Style, Placement, and Work Motivation. Therefore, the performance of employees at the General Bureau of Setda Jambi Province can also be attributed to these three variables, this is what inspired the authors to conduct the research. Research objectives: 1. To find out the description of leadership style, placement,, motivation, and performance of Employees in the General Bureau of Setda Jambi Province, 2. To know the direct and indirect influence of leadership style and placement on the work motivation of employees in the General Bureau of Setda Jambi Province, 3. To know the direct and indirect influence of leadership style and placement on the performance of Employees in the General Bureau of Setda Jambi Province, 4. To know the influence of leadership style and placement through work motivation on Kinerja Employees in The General Bureau of Setda Jambi Province. This research that became the object of the research was employees of the General Bureau of Setda Jambi Province with a population of 130 people who were used as a research sample. Analysis techniques using Path Analysis tool using SPSS 22 software. The results showed that: 1. Leadership style, placement, motivation and employee performance are in good condition, 2. Leadership and placement styles directly and indirectly affect employee motivation, 3. Leadership and placement styles directly and indirectly affect employee performance, 4. Leadership and placement styles through motivation directly and indirectly affect performance.


2020 ◽  
Vol 3 (2) ◽  
pp. 97
Author(s):  
Salma Falista Salsabilla

AbstractHabanera, one of the most famous songs in Opera Carmen, tells the love life of Carmen as the main role. Interestingly, the song Habanera was sung by an Indonesian mezzo-soprano singer from Bali, Heny Janawati, who has perform the Opera Carmen while singing in Europe and Indonesia with different interpretations and performance of song Habanera. The purpose of this study was to analyze the interpretation and performance form of the Habanera Opera Carmen song when it was performed in Jakarta in 2016 in order to become a knowledge. This research process used qualitative methods. The data in this study were obtained through observation, interviews, and documentations. Data analysis techniques used data reduction, data presentation, and data inference. As for the data validity test used triangulation. The results of this study indicate that Heny Janawati has characteristics to interpret this song through out the structure, tempo, dynamics, and intonation of this song. That she present in Opera Carmen are more modern from it's europe counterpart, which in Europe its characteristics, number of accompaniments, dimensions of the setting, lighting and wardrobe are more traditional. 


Robotica ◽  
1984 ◽  
Vol 2 (4) ◽  
pp. 209-214 ◽  
Author(s):  
Fazel Naghdy ◽  
John Billingsley ◽  
David Harrison

SUMMARYA robot-based automatic system for adjusting energy regulators in electric cookers is described in this paper. It is claimed that this system improves the quality of the regulators and increases productivity. First, the operator's intuitive judgement and decision-making are simulated on a microcomputer; the structure and performance variables of the regulator are then described. A discussion of computer modelling of the regulator then follows, leading to the development of an algorithm for the adjustment procedure and overall strategy of the system. Experiments on 2,000 regulators showed that this automated operation was superior to the manual procedure as regards consistency and accuracy. This technique based on a robot may be applied to quality control and manufacture of a variety of similar products.


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