scholarly journals The Effect of Real-Time Video-Based Engagement and Feedback during Pedaling on Cadence Control and Exercise Motivation: A Proof-of-Concept Study

2021 ◽  
Vol 8 (7) ◽  
pp. 95
Author(s):  
Mukesh Soni ◽  
Tissa Wijeratne ◽  
David C. Ackland

The use of video and music as an intrinsic, dissociative attentional stimulus during exercise is thought to distract from the physical discomfort of exercise, and contribute to improved exercise adherence; however, the effects of video-based feedback and engagement during pedaling on exercise performance and motivation are poorly understood. The aims of the present study were twofold. Firstly, to develop a novel video-based engagement regime for pedaling that links pedaling cadence with the play rate of a video, and secondly, to employ an instrumented pedaling device to assess the influence of the video engagement paradigm on cadence performance and exercise motivation. Eighteen healthy subjects participated in 15-min-duration pedaling sessions while targeting a specific low cadence (60 rotations per minute) and high cadence (100 rotations per minute), including pedaling with the provision of (i) target pedaling cadence information only, (ii) visual feedback on cadence control, including pedaling duration, pedaling cadence, and cadence deviation from target, and (iii) real-time engagement, which involved pedaling at the target speed to maintain the playback rate of a pre-recorded video. Cadence deviation from the target was evaluated, and self-reported exercise motivation examined with a post-exercise survey. Pedaling-cadence deviations significantly reduced with cadence feedback at both low and high cadence (p < 0.05). Participants reported enjoying feedback and video-based engagement during pedaling, with 83% of participants feeling that engagement motivated them to perform pedaling-based exercise. In conclusion, real-time cadence control feedback and video-based engagement during pedaling for healthy individuals may improve performance in targeted pedaling tasks. Through dissociation from the physical cues associated with exercise and fatigue, feedback and engagement may ultimately increase enjoyment and exercise compliance and adherence of pedaling-based exercise. The findings may be useful in prescription and maintenance of targeted pedaling exercises for stroke rehabilitation and exercise therapy.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
François Stüder ◽  
Jean-Louis Petit ◽  
Stefan Engelen ◽  
Marco Antonio Mendoza-Parra

AbstractSince December 2019, a novel coronavirus responsible for a severe acute respiratory syndrome (SARS-CoV-2) is accountable for a major pandemic situation. The emergence of the B.1.1.7 strain, as a highly transmissible variant has accelerated the world-wide interest in tracking SARS-CoV-2 variants’ occurrence. Similarly, other extremely infectious variants, were described and further others are expected to be discovered due to the long period of time on which the pandemic situation is lasting. All described SARS-CoV-2 variants present several mutations within the gene encoding the Spike protein, involved in host receptor recognition and entry into the cell. Hence, instead of sequencing the whole viral genome for variants’ tracking, herein we propose to focus on the SPIKE region to increase the number of candidate samples to screen at once; an essential aspect to accelerate diagnostics, but also variants’ emergence/progression surveillance. This proof of concept study accomplishes both at once, population-scale diagnostics and variants' tracking. This strategy relies on (1) the use of the portable MinION DNA sequencer; (2) a DNA barcoding and a SPIKE gene-centered variant’s tracking, increasing the number of candidates per assay; and (3) a real-time diagnostics and variant’s tracking monitoring thanks to our software RETIVAD. This strategy represents an optimal solution for addressing the current needs on SARS-CoV-2 progression surveillance, notably due to its affordable implementation, allowing its implantation even in remote places over the world.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1021.1-1021
Author(s):  
L. Beyaztaş ◽  
E. Tonga

Background:Mobile health applications are frequently used to increase exercise adherence in patients with musculoskeletal problems. However, the usability of these health mobile applications mostly has not been proven. In our previous study, the usability of the mobile app, which includes postural correction and neck spinal stabilization exercises, has been proven. (M.U-NeckExercise application)Objectives:The aim of this study is to evaluate the effectiveness of the mobile application-based home exercise program for patients with chronic neck pain.Methods:60 people with chronic neck pain were participated in the our study. They were randomized into two groups. The first group (n:30) received home exercises via the novel mobile app, and the second group (n:30) received the same home exercises via the brochure. The exercise program consisted of neck and thoracic postural correction and neck spinal stabilization exercises. Participants has been requested to do the exercises 3 days in a week for 6 weeks. Participants’ pain levels were assessed by using the Visual Analogue Scale (VAS), their neck-related functional limitations were evaluated by Neck Pain and Disability Index (BADI). Exercise adherence was meausered with a ratio of total participated sessions compared with the target defined by patient activation monitor and exercise adherance questionnaire. Targeted participation were %60 of total sessions.Results:In both groups, the improvement in VAS and BADI scores was statistically significant (p<0.05). It was found that the pain parameters of VAS score decreased statistically more in the mobile application-based exercise group (p<0.05). While there was no statistically significant difference between the groups in the BADI score, the effect size results was higher in the mobile app group (effect size= 0.411). Our exercise commitment target in the mobile app group was an average of 10.5 sessions. The target session number has been reached 11.25 sessions.Conclusion:It has been observed that the mobile application-based exercise program is effective in reducing pain and increasing exercise adherence in people with chronic neck pain. The findings support M.U-NeckExercise-App could be recommended to health professionals for exercise prescription in patients with cronic neck pain.References:[1]Tonga E, Can M, Polat MG (2019). ”SAT0730-HPR development and design of smartphone application for postural alignment of cervical and thoracic spine for young adults.” Annals of the Rheumatic Diseases, 78,2.[2]Voth, E. C., Oelke, N. D., & Jung, M. E. (2016). A theory-based exercise app to enhance exercise adherence: a pilot study. JMIR mHealth and uHealth, 4(2), e62.VariableGroupX±SSzpPost-Exercise VAS Value (0-10 cm)Mobile app2,90±2,04-3,272**0,001Brochure4,63±1,69Post-Exercise BADI ValueMobile app38,86±12,380,0310,861Brochure32,23±12,35Disclosure of Interests:None declared


Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 999
Author(s):  
Henry Dore ◽  
Rodrigo Aviles-Espinosa ◽  
Zhenhua Luo ◽  
Oana Anton ◽  
Heike Rabe ◽  
...  

Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during intervention. In this work we report the design and development of a solution to provide high resolution, real time electrocardiogram data to the clinicians within the delivery room using non-contact electric potential sensors embedded in a neonatal intensive care unit mattress. A real-time high-resolution electrocardiogram acquisition solution based on a low power embedded system was developed and textile embedded electrodes were fabricated and characterised. Proof of concept tests were carried out on simulated and human cardiac signals, producing electrocardiograms suitable for the calculation of heart rate having an accuracy within ±1 beat per minute using a test ECG signal, ECG recordings from a human volunteer with a correlation coefficient of ~ 87% proved accurate beat to beat morphology reproduction of the waveform without morphological alterations and a time from application to heart rate display below 6 s. This provides evidence that flexible non-contact textile-based electrodes can be embedded in wearable devices for assisting births through heart rate monitoring and serves as a proof of concept for a complete neonate electrocardiogram monitoring system.


2011 ◽  
Vol 18 (3) ◽  
pp. 212-230 ◽  
Author(s):  
Yinpeng Chen ◽  
Margaret Duff ◽  
Nicole Lehrer ◽  
Sheng-Min Liu ◽  
Paul Blake ◽  
...  

2014 ◽  
Vol 20 (2) ◽  
pp. 200-208 ◽  
Author(s):  
Thilo Noack ◽  
Chirojit Mukherjee ◽  
Philipp Kiefer ◽  
Fabian Emrich ◽  
Marcel Vollroth ◽  
...  

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Bo Song ◽  
Wenjun Deng ◽  
Lindsay Fisher ◽  
I-ying Chou ◽  
Max Oyer ◽  
...  

Patent foramen ovale (PFO) is an important underlying source of cryptogenic stroke (CS) associated with hematologic procoagulability. However, the association of genetically identified hyperocagulability and paradoxical embolism has been difficult to establish due to retrospective analysis and the limited numbers of of known genetically identified hypercoagulable conditions. In this study, we explored the utility of conventional coagulation status in PFO related stroke, as the patients may harbor genetically unidentified hyperocoagulable conditions. Method: Eligible pts were prospectively recruited in accordance with IRB, and underwent conventional coagulation testing (PT/PTT) testing within 12 hours of stroke. All patients underwent full cryptogenic workup such as MRI/MRA, mobile cardiac outpatient telemetry (>30 days), cardiac echo, and hypercoagulable testing. Results: We screened 4,831 pts admitted with acute neurologic diseases, and recruited 358 eligible acute ischemic stroke pts. 54 (15.1%) pts had CS and 32 pts had PFO related stroke. While there is no difference between PFO-related CS and PFO-unrelated CS on full hypercaogulable screen (protein S, protein C, FVL, PTGM, ATIII, APLAb, LA, hcy), aPTT was statistically significantly shortened in PFO-related stroke patients (PFO CS vs. non-PFO CS: aPTT 27.2±4.1s vs. 29.9±2.3s). ROC curve indicates early shortened aPTT can predict PFO related stroke (sensitivity 70%, specificity 81.5%, p=0.017) (see Figure). Conclusion: We found real time aPTT to be significantly shortened in patients eventually diagnosed with paradoxical embolism related to PFO. While studies in larger pt cohorts accounting for other potential confounders are underway, this proof-of-concept study demonstrates the importance and utility of early conventional coagulation testing in identifying paradoxical embolism. Pts with shortened aPTT may need additional workup for other underlying hypercoagulable conditions.


Author(s):  
Chamnan Kumsap ◽  
Somsarit Sinnung ◽  
Suriyawate Boonthalarath

"This article addresses the establishment of a mesh communication backbone to facilitate a near real-time and seamless communications channel for disaster data management at its proof of concept stage. A complete function of the data communications is aimed at the input in near real-time of texts, photos, live HD videos of the incident to originate the disaster data management of a military unit responsible for prevention and solving disaster problems and in need of a communication backbone that links data from a Response Unit to an Incident Command Station. The functions of data flow were tested in lab and at fields. Texts encompassing registered name, latitude, longitude, sent time were sent from concurrent 6 responders. Photos and full HD live videos were successfully sent to a laptop Incident Command Station. However, a disaster database management system was needed to store data sent by the Response Unit. Quantitative statistics were suggested for a more substantial proof of concept and subject to further studies."


2019 ◽  
Vol 29 (5) ◽  
pp. 676-696 ◽  
Author(s):  
Sabrina Golonka ◽  
Andrew D. Wilson

In 2010, Bechtel and Abrahamsen defined and described what it means to be a dynamic causal mechanistic explanatory model. They discussed the development of a mechanistic explanation of circadian rhythms as an exemplar of the process and challenged cognitive science to follow this example. This article takes on that challenge. A mechanistic model is one that accurately represents the real parts and operations of the mechanism being studied. These real components must be identified by an empirical programme that decomposes the system at the correct scale and localises the components in space and time. Psychological behaviour emerges from the nature of our real-time interaction with our environments—here we show that the correct scale to guide decomposition is picked out by the ecological perceptual information that enables that interaction. As proof of concept, we show that a simple model of coordinated rhythmic movement, grounded in information, is a genuine dynamical mechanistic explanation of many key coordination phenomena.


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