scholarly journals Smoothing Skeleton Avatar Visualizations Using Signal Processing Technology

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Joela F. Gauss ◽  
Christoph Brandin ◽  
Andreas Heberle ◽  
Welf Löwe

AbstractMovements of a person can be recorded with a mobile camera and visualized as sequences of stick figures for assessments in health and elderly care, physio-therapy, and sports. However, since the visualizations flicker due to noisy input data, the visualizations themselves and even whole assessment applications are not trusted in general. The present paper evaluates different filters for smoothing the movement visualizations but keeping their validity for a visual physio-therapeutic assessment. It evaluates variants of moving average, high-pass, and Kalman filters with different parameters. Moreover, it presents a framework for the quantitative evaluation of smoothness and validity. As these two criteria are contradicting, the framework also allows to weight them differently and to automatically find the correspondingly best-fitting filter and its parameters. Different filters can be recommended for different weightings of smoothness and validity. The evaluation framework is applicable in more general contexts and with more filters than the three filters assessed. However, as a practical result of this work, a suitable filter for stick figure visualizations in a mobile application for assessing movement quality could be selected and used in a mobile app. The application is now more trustworthy and used by medical and sports experts, and end customers alike.

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


Author(s):  
Parasuram Krishnamoorthy ◽  
Andriy Vengrenyuk ◽  
Brian Wasielewski ◽  
Nitin Barman ◽  
Jeffrey Bander ◽  
...  

Abstract Technological advancements have transformed healthcare. System delays in transferring patients with ST- segment elevation myocardial infarction (STEMI) to a primary percutaneous coronary intervention (PCI) center are associated with worse clinical outcomes. Our aim was to design and develop a secure mobile application, STEMIcathAID, streamlining communication and coordination between the STEMI care teams to reduce ischemia time and improve patient outcomes. The app was designed for transfer of patients with STEMI to a cardiac catheterization laboratory (CCL) from an emergency department (ED) of either a PCI capable or a non-PCI capable hospital. When a suspected STEMI arrives to a non-PCI hospital ED, the ED physician uploads the EKG and relevant patient information. An instant notification is simultaneously sent to the on-call CCL attending and transfer center. The attending reviews the information, makes a video call and decides to either accept or reject the transfer. If accepted, on-call CCL team members receive an immediate push notification and begin communicating with the ED team via a HIPPA compliant chat. The app provides live GPS tracking of the ambulance and frequent clinical status updates of the patient. In addition, it allows for screening of STEMI patients in cardiogenic shock. Prior to discharge important data elements have to be entered to close the case. In conclusion, we developed a novel mobile app to optimize care for STEMI patients and facilitate electronic extraction of relevant performance metrics to improve allocation of resources and reduction of costs.


2021 ◽  
pp. neurintsurg-2021-017365
Author(s):  
Mais Al-Kawaz ◽  
Christopher Primiani ◽  
Victor Urrutia ◽  
Ferdinand Hui

BackgroundCurrent efforts to reduce door to groin puncture time (DGPT) aim to optimize clinical outcomes in stroke patients with large vessel occlusions (LVOs). The RapidAI mobile application (Rapid Mobile App) provides quick access to perfusion and vessel imaging in patients with LVOs. We hypothesize that utilization of RapidAI mobile application can significantly reduce treatment times in stroke care by accelerating the process of mobilizing stroke clinicians and interventionalists.MethodsWe analyzed patients presenting with LVOs between June 2019 and October 2020. Thirty-one patients were treated between June 2019 and March 2020 (pre-app group). Thirty-three patients presented between March 2020 and October 2020 (post-app group). Mann–Whitney U test and Kruskal–Wallis tests were used to examine variables that are not normally distributed. In a secondary analysis we analyzed interhospital time metrics between primary stroke centers and our comprehensive stroke center.ResultsBaseline demographic and vascular risk factors were similar in both groups. Use of Rapid Mobile App resulted in 33 min reduction in DGPT (P=0.02), 35 min reduction in door to first pass time (P=0.02), and 37 min reduction in door to recanalization time (P=0.02) in univariate analyses when compared with patients treated pre-app. In a multiple linear regression model, utilization of Rapid Mobile App significantly predicted shorter DGPT (P=0.002). In an adjusted model, National Institutes of Health Stroke Scale (NIHSS) 24 hours after procedure and at discharge were significantly lower in the post-app group (P=0.03). Time of transfer between primary and comprehensive stroke center was comparable in both groups (P=0.26).ConclusionIn patients with LVOs, the implementation of the RapidAI mobile application was independently associated with reductions in intrahospital treatment times.


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Andrew Murray ◽  
Shaun McGovern ◽  
Marion Leary ◽  
Benjamin Abella ◽  
Audrey L Blewer

Introduction: Hands-only CPR training via a video self-instruction (VSI) kit (DVD & manikin) or a mobile application (app, video-only) allows trainees to share the training materials with others (“secondary training”). This secondary training can amplify the number of individuals trained in CPR, thus increasing the chances of bystander intervention in an out-of-hospital cardiac arrest. Health apps are an emerging tool through which public health information and education can be disseminated. No study has examined whether laypersons trained in CPR via an app share the training as frequently as those trained via VSI. Hypothesis: We hypothesized that laypersons trained via mobile app will share the training material more than those trained with VSI. Methods: This work represents a sub-investigation of an in-hospital CPR training study for families of cardiac patients. Subjects were trained with either a VSI kit or a mobile app and completed an interview 6-month post-training that measured whether training materials were shared and with how many others they were shared. Multivariate logistic regression was performed controlling for age, race and level of education to determine the likelihood that an individual shared the training. Results: Of 697 participants who completed the interview between 6/2016-5/2018, 281 stated they shared the training with at least 1 person (VSI n=213/356, App n=68/341). Subjects who received VSI training were more likely to share than those trained with the app (OR: 7.16, 95% CI: 4.91-10.43, p<0.01). Subjects trained with VSI had an average multiplier rate of 2.27 ±4.13 versus 0.56 ±1.66 (p<0.01) for those trained with the app. Subject-level analysis revealed that increased age is associated with decreased likelihood that an individual shared the training in both training arms (App OR: 0.98, 95% CI: 0.96-0.99, VSI OR: 0.98, 95% CI: 0.97-0.99). Conclusion: Subjects in the app arm were less likely to share CPR training. While it has been widely assumed that app-based solutions may afford unique dissemination opportunities, these results suggest the most effective solution to increasing hands-only CPR training may lie in kit-based options currently available. Further work is needed to determine why app-based training is shared less.


Author(s):  
Mazlan Mohd Sappri Et.al

Social media application (SMA) shows several important functions that causing theincrement of usage among mobile application or mobile app users, especially among18 to 28 years-old users. This causing several developers to create their own SMA thathave been targeted to mobile app users. However, only several SMA managed tobecome popular and successful in term of usage, leaving other unpopular SMA in thelower rank of the Google PlayStore. SMA created by developer in Malaysia face thesame situation as mentioned before where those SMA were supposed to attractMalaysian mobile users more. To assess this situation, this study aims to identify thesuccess factors of SMA usage and develop a set of metric based on the success factorsusing research model that have been developed in the past. Information SystemSuccess Model (ISSM) were studied and chosen as the reference model for this studybecause the model is suitable and have been used by other researchers in studiesregarding social media and SMA. ISSM contains several success factors like systemquality, service quality and information quality that affect the user satisfaction and useof a system, where this model were modified in this study with the addition ofnetworking quality and perceive privacy factors. This study were conducted on 380Universiti Utara Malaysia (UUM) students and after analysing the data collected, allproposed success factors except of service quality were found to have a positive impacttowards user satisfaction and usage. The success factors were included in the metricdesign and the metric were presented in an evaluation form for SMA developer inMalaysia to evaluate and applied the metric in their SMA.


2021 ◽  
Vol 7 (1) ◽  
pp. 61-70
Author(s):  
Henderi Henderi ◽  
Praditya Aliftiar ◽  
Alwan Hibatullah

Information technology has developed rapidly from time to time. One of the technologies commonly owned by many people today is smartphones with the Android and IOS platforms. By knowing this factor, mobile developers compete with each other to design applications with attractive user interfaces so that users are interested in using them. At this stage in mobile application development, starting from designing a user interface prototype. This stage aims to visualize user needs, improve user experience and simplify the coding process by programmers. In this study, researchers applied the prototype method. This research produces a prototype design for the e-learning application user interface which consists of a high fidelity prototype.


10.2196/15634 ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. e15634 ◽  
Author(s):  
Stephanie Allan ◽  
Hamish Mcleod ◽  
Simon Bradstreet ◽  
Sara Beedie ◽  
Bethany Moir ◽  
...  

Background Relapse is common in people who experience psychosis and is associated with many negative consequences, both societal and personal. People who relapse often exhibit changes (early warning signs [EWS]) in the period before relapse. Successful identification of EWS offers an opportunity for relapse prevention. However, several known barriers impede the use of EWS monitoring approaches. Early signs Monitoring to Prevent relapse in psychosis and prOmote Well-being, Engagement, and Recovery (EMPOWER) is a complex digital intervention that uses a mobile app to enhance the detection and management of self-reported changes in well-being. This is currently being tested in a pilot cluster randomized controlled trial. As digital interventions have not been widely used in relapse prevention, little is known about their implementation. Process evaluation studies run in parallel to clinical trials can provide valuable data on intervention feasibility. Objective This study aims to transparently describe the protocol for the process evaluation element of the EMPOWER trial. We will focus on the development of a process evaluation framework sensitive to the worldview of service users, mental health staff, and carers; the aims of the process evaluation itself; the proposed studies to address these aims; and a plan for integration of results from separate process evaluation studies into one overall report. Methods The overall process evaluation will utilize mixed methods across 6 substudies. Among them, 4 will use qualitative methodologies, 1 will use a mixed methods approach, and 1 will use quantitative methodologies. Results The results of all studies will be triangulated into an overall analysis and interpretation of key implementation lessons. EMPOWER was funded in 2016, recruitment finished in January 2018. Data analysis is currently under way and the first results are expected to be submitted for publication in December 2019. Conclusions The findings from this study will help identify implementation facilitators and barriers to EMPOWER. These insights will inform both upscaling decisions and optimization of a definitive trial. Trial Registration ISRCTN Registry ISRCTN99559262; http://www.isrctn.com/ISRCTN99559262 International Registered Report Identifier (IRRID) DERR1-10.2196/15634


2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Mojca Volk ◽  
Janez Sterle ◽  
Urban Sedlar

This paper presents a case study on security and privacy implications on the design of a mobile application in digital health, the DeStress Assistant (DeSA) app, which utilizes sensing technologies and capabilities of the Internet of Things (IoT). An analysis of the applicable legislative framework is provided and selected challenges encountered during the app design are discussed, which are related with the practical implications of provisions of the international and national legislation for software applications in general as well as medical devices and handling of sensitive data in particular. We provide insights into design choices, including different possible scenarios for classification of a mobile app as a medical device and the pertaining legal risks the app developer is faced with as a consequence of possible legal obligations, and different possibilities of specifying the intended use. Also, we propose two designs of a mechanism that enables secure sharing of the patient’s health-related observations from the DeSA app with a medical professional within a treatment context. The first mechanism provides secure submission of health-related observations into a hospital information system, whereas the second mechanism enables secure short-term sharing of observations without storage.


Author(s):  
Ton Tsang ◽  
Cheung Yip Kan

Along by a continuous improvement to composite electronic devices, a safety to technicians takes additionally become the matter to good concern, as a result to technicians' lives is in jeopardy while their work through shutting down circuit breakers, even that even once the breaker takes been switched off, someone will inadvertently flip to while a technician remains working. That should be a system to guarantee safety that technicians. Also, individuals do not love switching all the time toward turn on / off appliances like fans/lighting/air conditioners. It ends in wasted energy thanks to unnecessarily placing the instrument. To address these issues, we tend to come up through the system through mobile app-controlled circuit breakers that degrade wireless management to home appliances to hunt down a golem app. That replaces a traditional breaker through the mobile app-controlled system in the on / off system, where no one will activate the breaker, while not the word. The remote of home appliances helps a user to save electricity. That enhances a quality of life and luxury. Additionally, a system includes the home security mechanism against drone intrusion using the mobile app-controlled door lock system besides the mechanism that sleuthing dangerous gas leaks. A formation of the system subtracts the degree of victim associate ESP 32 microcontroller, the Bluetooth module, matrix 4x4 keyboards, and the paraffin gas detector associate with a golem mobile application. The entire system is usually compact systems.


2017 ◽  
Vol 111 (4) ◽  
pp. 307-323 ◽  
Author(s):  
Nora Griffin-Shirley ◽  
Devender R. Banda ◽  
Paul M. Ajuwon ◽  
Jongpil Cheon ◽  
Jaehoon Lee ◽  
...  

Introduction The literature indicates that few studies have been conducted with persons with visual impairments (that is, those who are blind or have low vision) concerning mobile application or “app” usage. The current study explores the use of mobile apps with this population globally. Methods A total of 259 participants with visual impairments completed an online survey. Descriptive statistics and bivariate tests were used to examine associations between demographic characteristics and mobile app use. Results The participants rated special apps as useful (95.4%) and accessible (91.1%) tools for individuals with visual impairments. More than 90% of the middle-aged adult group strongly agreed with the practicality of special apps, a significantly higher percentage than was observed in the young and old adult groups. In addition, the participants with low vision considered special apps less accessible than did those with blindness (p < .05). Discussion Results show that persons with visual impairments frequently use apps specifically designed for them to accomplish daily activities. Furthermore, this population is satisfied with mobile apps and would like to see improvements and new apps. Implications for practitioners Developers of apps for individuals with visual impairments need to refine and test the existing apps. Practitioners need to be knowledgeable about app usage so they can provide effective instruction to their students or clients. This study provides preliminary information regarding app usage among persons with visual impairments.


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