Smartphone-Based Data Collection in Ophthalmology

2020 ◽  
Vol 237 (12) ◽  
pp. 1420-1428
Author(s):  
Florian Philipp Raber ◽  
Rokas Gerbutavicius ◽  
Armin Wolf ◽  
Karsten Kortüm
Keyword(s):  
Data Collection ◽  
Data Transfer ◽  
Glucose Monitoring ◽  
Current Status ◽  
Patient Treatment ◽  
Motion Sensors ◽  
Time Data ◽  
Mobile Access ◽  
Wide Range ◽  
Range Of Functions

AbstractDue to their widespread use among the population and their wide range of functions and sensors, smartphones are suitable for data collection for medical purposes. App-supported input masks, patient diaries, and patient information systems, mobile access to the patient file as well as telemedical services will continue to find their way into our field of expertise in the future. In addition, the use of smartphone sensors (GPS and motion sensors, touch display, microphone) and coupling possibilities with biosensors (for example with Continuous Glucose Monitoring [CGM] systems), advanced camera technology, the possibility of regular and appointment independent checking of the visual system (visual acuity/contrast vision) as well as real-time data transfer offer interesting possibilities for patient treatment and clinical research. The present review deals with the current status and future perspectives of smartphone-based data collection and possible applications in ophthalmology.

scholarly journals Real-Time Data Collection for Pain: Appraisal and Current Status

Pain Medicine ◽  
2007 ◽  
Vol 8 (suppl 3) ◽  
pp. S85-S93 ◽  
Author(s):  
Arthur A. Stone ◽  
Joan E. Broderick
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Current Status ◽  
Time Data ◽  
Real Time Data

Toward Just-in-Time Data Communications over Shared Networks and Computational Resources on Massive Client Environment

2021 ◽  
pp. 036119812110067
Author(s):  
Hirochika Asai ◽  
Yusuke Doi ◽  
Ryokichi Onishi
Keyword(s):  
Data Collection ◽  
Data Transfer ◽  
Data Communication ◽  
Just In Time ◽  
Data Communications ◽  
Time Data ◽  
Network Resources ◽  
Best Effort ◽  
Shared Networks ◽  
Computational Resources

Intelligent driving has been benefiting from advances in automotive big data analysis and on-demand data communications, where efficient vehicle-to-cloud communication is a key technology able to collect a huge amount of data from vehicles. However, as the capacities of the network and computational resources of the cloud are not unlimited, simultaneous data transfer based on a best-effort manner results in a resource starvation problem. Therefore, an application is needed to prioritize data communication to alleviate the problem and complete the data transfer just in time. This paper highlights the problem of resource starvation led by best-effort data transfers. It proposes protocols for data communication and control that could enable just-in-time data communication, notably for data collection. We demonstrate through experiments that the proposed mechanism enables efficient and effective data collection over the shared network resources.

scholarly journals The second generation of The Avon Longitudinal Study of Parents and Children (ALSPAC-G2): a cohort profile

2019 ◽  
Vol 4 ◽  
pp. 36 ◽  
Author(s):  
Deborah A. Lawlor ◽  
Melanie Lewcock ◽  
Louise Rena-Jones ◽  
Claire Rollings ◽  
Vikki Yip ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Data Collection ◽  
Glucose Monitoring ◽  
Placental Tissue ◽  
Late Pregnancy ◽  
Biological Data ◽  
Parents And Children ◽  
Wide Range ◽  
Set Up ◽  
Avon Longitudinal Study

Background: The Avon Longitudinal Study of Parents and Children-Generation 2 (ALSPAC-G2) was set up to provide a unique multi-generational cohort. It builds on the existing ALSPAC resource, which recruited 14,541 pregnancies to women resident in the South West of England who were expected to deliver between 01/04/1991 and 31/12/1992. Those women and their partners (Generation 0; ALSPAC-G0) and their offspring (ALSPAC-G1) have been followed for the last 27 years. This profile describes recruitment and data collection on the next generation (ALSPAC-G2)—the grandchildren of ALSPAC-G0 and children of ALSPAC-G1. Recruitment: Recruitment began on the 6 th of June 2012 and we present details of recruitment and participants up to 30 th June 2018 (~6 years). We knew at the start of recruitment that some ALSPAC-G1 participants had already become parents and ALSPAC-G2 is an open cohort; we recruit at any age. We hope to continue recruiting until all ALSPAC-G1 participants have completed their families. Up to 30 th June 2018 we recruited 810 ALSPAC-G2 participants from 548 families. Of these 810, 389 (48%) were recruited during their mother’s pregnancy, 287 (35%) before age 3 years, 104 (13%) between 3-6 years and 30 (4%) after 6 years. Over 70% of those invited to early pregnancy, late pregnancy, second week of life, 6-, 12- and 24-month assessments (whether for their recruitment, or a follow-up, visit) have attended, with attendance being over 60% for subsequent visits up to 7 years (too few are eligible for the 9- and 11-year assessments to analyse). Data collection: We collect a wide-range of socioeconomic, lifestyle, clinical, anthropometric and biological data on all family members repeatedly. Biological samples include blood (including cord-blood), urine, meconium and faeces, and placental tissue. In subgroups detailed data collection, such as continuous glucose monitoring and videos of parent-child interactions, are being collected.

scholarly journals The second generation of The Avon Longitudinal Study of Parents and Children (ALSPAC-G2): a cohort profile

2019 ◽  
Vol 4 ◽  
pp. 36 ◽  
Author(s):  
Deborah A. Lawlor ◽  
Melanie Lewcock ◽  
Louise Rena-Jones ◽  
Claire Rollings ◽  
Vikki Yip ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Data Collection ◽  
Glucose Monitoring ◽  
Placental Tissue ◽  
Late Pregnancy ◽  
Biological Data ◽  
Parents And Children ◽  
Wide Range ◽  
Set Up ◽  
Avon Longitudinal Study

Background: The Avon Longitudinal Study of Parents and Children-Generation 2 (ALSPAC-G2) was set up to provide a unique multi-generational cohort. It builds on the existing ALSPAC resource, which recruited 14,541 pregnancies to women resident in the South West of England who were expected to deliver between 01/04/1991 and 31/12/1992. Those women and their partners (Generation 0; ALSPAC-G0) and their offspring (ALSPAC-G1) have been followed for the last 26 years. This profile describes recruitment and data collection on the next generation (ALSPAC-G2)—the grandchildren of ALSPAC-G0 and children of ALSPAC-G1. Recruitment: Recruitment began on the 6th of June 2012 and we present details of recruitment and participants up to 30th June 2018 (~6 years). We knew at the start of recruitment that some ALSPAC-G1 participants had already become parents and ALSPAC-G2 is an open cohort; we recruit at any age. We hope to continue recruiting until all ALSPAC-G1 participants have completed their families. Up to 30th June 2018 we recruited 810 ALSPAC-G2 participants from 548 families. Of these 810, 389 (48%) were recruited during their mother’s pregnancy, 287 (35%) before age 3 years, 104 (13%) between 3-6 years and 30 (4%) after 6 years. Over 70% of those invited to early pregnancy, late pregnancy, second week of life, 6-, 12- and 24-month assessments (whether for their recruitment, or a follow-up, visit) have attended, with attendance being over 60% for subsequent visits up to 7 years (to few are eligible for the 9- and 11-year assessments to analyse). Data collection: We collect a wide-range of social, lifestyle, clinical, anthropometric and biological data on all family members repeatedly. Biological samples include blood (including cord-blood), urine, meconium and faeces, and placental tissue. In subgroups detailed data collection, such as continuous glucose monitoring and videos of parent-child interactions, are being collected.

scholarly journals Sera Çevre Koşullarının Nesnelerin İnterneti Tabanlı İzleme ve Analiz Sistemi ile Denetlenmesi

2017 ◽  
Vol 5 (11) ◽  
pp. 1279 ◽  
Author(s):  
Ali Çaylı ◽  
Adil Akyüz ◽  
Abdullah Nafi Baytorun ◽  
Sedat Boyacı ◽  
Sait Üstün ◽  
...  
Keyword(s):  
Data Collection ◽  
Low Income ◽  
Rural Areas ◽  
Ieee 802.15.4 ◽  
Data Transfer ◽  
Low Cost ◽  
Cost Effective ◽  
Indoor Climate ◽  
Time Data ◽  
Data Collection And Analysis

Wireless sensor networks applications and inter-machine communication (M2M), called the Internet of Things, help decision-makers to control complex systems thanks to the low data-rate and cost-effective data collection and analysis. These technologies offer new possibilities to monitor environmental management and agricultural policies, and to improve agricultural production, especially in low-income rural areas. In this study, IoT is proposed with a low cost, flexible and scalable data collection and analysis system. For this purpose, open source hardware microprocessor cards and sensors are stored in the greenhouse computer database using the IEEE 802.15.4 Zigbee wireless communication protocol. The data can be analyzed by greenhouse computer analysis software, which is developed with the PHP programming language. It is possible to monitor the real time data from the greenhouse computer. Also alert rules definitions can be made and the system was tested in greenhouse conditions. It has been observed that it performs operations steadily such as data transfer, sensor measurements and data processing. The proposed system may be useful for monitoring indoor climate and controlling ventilation, irrigation and heating systems, especially for small enterprises due to the modular structure.

Current Status and Future Perspective for Research on Medicinal Plants with Anticancerous Activity and Minimum Cytotoxic Value

2019 ◽  
Vol 20 (12) ◽  
pp. 1227-1243
Author(s):  
Hina Qamar ◽  
Sumbul Rehman ◽  
D.K. Chauhan
Keyword(s):  
Side Effects ◽  
Medicinal Plants ◽  
Anticancer Agents ◽  
Drug Targets ◽  
Psidium Guajava ◽  
Current Status ◽  
Future Perspective ◽  
Wide Range

Cancer is the second leading cause of morbidity and mortality worldwide. Although chemotherapy and radiotherapy enhance the survival rate of cancerous patients but they have several acute toxic effects. Therefore, there is a need to search for new anticancer agents having better efficacy and lesser side effects. In this regard, herbal treatment is found to be a safe method for treating and preventing cancer. Here, an attempt has been made to screen some less explored medicinal plants like Ammania baccifera, Asclepias curassavica, Azadarichta indica, Butea monosperma, Croton tiglium, Hedera nepalensis, Jatropha curcas, Momordica charantia, Moringa oleifera, Psidium guajava, etc. having potent anticancer activity with minimum cytotoxic value (IC50 >3μM) and lesser or negligible toxicity. They are rich in active phytochemicals with a wide range of drug targets. In this study, these medicinal plants were evaluated for dose-dependent cytotoxicological studies via in vitro MTT assay and in vivo tumor models along with some more plants which are reported to have IC50 value in the range of 0.019-0.528 mg/ml. The findings indicate that these plants inhibit tumor growth by their antiproliferative, pro-apoptotic, anti-metastatic and anti-angiogenic molecular targets. They are widely used because of their easy availability, affordable price and having no or sometimes minimal side effects. This review provides a baseline for the discovery of anticancer drugs from medicinal plants having minimum cytotoxic value with minimal side effects and establishment of their analogues for the welfare of mankind.

Structure, Function and Interactions of Tau: Particular Focus on Potential Drug Targets for the Treatment of Tauopathies

2018 ◽  
Vol 17 (5) ◽  
pp. 325-337 ◽  
Author(s):  
Hojjat Borna ◽  
Kasim Assadoulahei ◽  
Gholamhossein Riazi ◽  
Asghar Beigi Harchegani ◽  
Alireza Shahriary
Keyword(s):  
Tau Protein ◽  
Drug Targets ◽  
Brain Injuries ◽  
Potential Drug ◽  
Microtubule Network ◽  
Wide Range ◽  
Potential Risk Factors ◽  
Range Of Functions ◽  
Potential Drug Targets

Background & Objective: Neurodegenrative diseases are among the most widespread lifethreatening disorders around the world in elderly ages. The common feature of a group of neurodegenerative disorders, called tauopathies, is an accumulation of microtubule associated protein tau inside the neurons. The exact mechanism underlying tauopathies is not well-understood but several factors such as traumatic brain injuries and genetics are considered as potential risk factors. Although tau protein is well-known for its key role in stabilizing and organization of axonal microtubule network, it bears a broad range of functions including DNA protection and participation in signaling pathways. Moreover, the flexible unfolded structure of tau facilitates modification of tau by a wide range of intracellular enzymes which in turn broadens tau function and interaction spectrum. The distinctive properties of tau protein concomitant with the crucial role of tau interaction partners in the progression of neurodegeneration suggest tau and its binding partners as potential drug targets for the treatment of neurodegenerative diseases. Conclusion: This review aims to give a detailed description of structure, functions and interactions of tau protein in order to provide insight into potential therapeutic targets for treatment of tauopathies.

scholarly journals Current status of vascular access in Japan—from Dialysis Access Symposium 2017

2019 ◽  
Vol 20 (1_suppl) ◽  
pp. 38-44
Author(s):  
Mizuya Fukasawa
Keyword(s):  
Vascular Access ◽  
Current Status ◽  
Good Survival ◽  
Chronic Glomerulonephritis ◽  
Dialysis Access ◽  
Dialysis Patients ◽  
Survival Prognosis ◽  
Access Methods ◽  
Number Of Patients ◽  
Wide Range

At the second Dialysis Access Symposium held in Nagoya, Japan, a proposal was made to investigate the differences in vascular access methods used in different countries. In this article, we describe the management of vascular access in Japan. The Japanese population is rapidly aging, and the proportion of elderly patients on dialysis is also increasing. There were 325,000 dialysis patients in Japan at the end of 2015, of whom 65.1% were aged 65 years or above. The number of patients with diabetic nephropathy or nephrosclerosis as the underlying condition is also increasing, whereas the number with chronic glomerulonephritis is steadily decreasing. The Japanese health insurance system enables patients to undergo medical treatment at almost no out-of-pocket cost. Percutaneous transluminal angioplasty suffers from a severe device lag compared with other countries, but although there are limitations on permitted devices, the use of those that have been authorized is covered by medical insurance. One important point that is unique to Japan is that vascular access is performed and managed by doctors involved in dialysis across a wide range of disciplines, including nephrologists, surgeons, and urologists. This may be one factor contributing to the good survival prognosis of Japanese dialysis patients.

Improvement in Total and Face-to-Face Provider Time in a Multidisciplinary Craniofacial Team Clinic: An Interventional Study

2021 ◽  
pp. 105566562110217
Author(s):  
Alexis C. Wood ◽  
C. Alejandra Garcia de Mitchell ◽  
Ruchi Kaushik
Keyword(s):  
Data Collection ◽  
Cleft Palate ◽  
Outcome Measures ◽  
Clinic Visit ◽  
Visit Time ◽  
Time Data ◽  
Interventional Study ◽  
Face To Face ◽  
Before And After ◽  
Total Visit

Objective: Identify factors contributing to time a family spends in a Multidisciplinary Craniofacial Team Clinic (MDCT) and implement an intervention to reduce this time. Design: Interventional: a restructuring of clinics to serve those patients requiring fewer provider encounters separately. Setting: An American Cleft Palate-Craniofacial Association-accredited MDCT in an academic children’s hospital. Patients/Participants: One hundred sixty-seven patients with craniofacial diagnoses. Interventions: Time data were tabulated over ∼2 years. Following 9 months of data collection, patients requiring fewer provider encounters were scheduled to a separate clinic serving children with craniosynostosis, and data were collected in the same fashion for another 14 months. Main Outcome Measures: Principal outcome measures included total visit time and proportion of the visit spent without a provider in the room before and after clinic restructuring. Results: The average time spent by family in a clinic session was 161.53 minutes, of which 64.3% was spent without a provider in the room. Prior to clinic restructuring, a greater number of provider encounters was inversely associated with percentage of time spent without a provider ( P < .001). Upon identifying this predictor, scheduling patients who needed fewer provider encounters to a Craniosynostosis Clinic session resulted in reduction in absolute and percentage of time spent without a provider ( P < .001). Conclusions: The number of provider encounters is a significant predictor of the proportion of a clinic visit spent without a provider. Clinic restructuring to remove patient visits that comprise fewer provider encounters resulted in a greater percentage of time spent with a provider in an MDCT.

scholarly journals Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction

2021 ◽  
Author(s):  
Giuseppe Placidi ◽  
Danilo Avola ◽  
Luigi Cinque ◽  
Matteo Polsinelli ◽  
Eleni Theodoridou ◽  
...  
Keyword(s):  
Data Integration ◽  
Real Time ◽  
Vision System ◽  
Hand Tracking ◽  
Selection Strategy ◽  
Motion Sensors ◽  
Leap Motion ◽  
Time Data ◽  
Lower Velocity ◽  
Human System

AbstractVirtual Glove (VG) is a low-cost computer vision system that utilizes two orthogonal LEAP motion sensors to provide detailed 4D hand tracking in real–time. VG can find many applications in the field of human-system interaction, such as remote control of machines or tele-rehabilitation. An innovative and efficient data-integration strategy, based on the velocity calculation, for selecting data from one of the LEAPs at each time, is proposed for VG. The position of each joint of the hand model, when obscured to a LEAP, is guessed and tends to flicker. Since VG uses two LEAP sensors, two spatial representations are available each moment for each joint: the method consists of the selection of the one with the lower velocity at each time instant. Choosing the smoother trajectory leads to VG stabilization and precision optimization, reduces occlusions (parts of the hand or handling objects obscuring other hand parts) and/or, when both sensors are seeing the same joint, reduces the number of outliers produced by hardware instabilities. The strategy is experimentally evaluated, in terms of reduction of outliers with respect to a previously used data selection strategy on VG, and results are reported and discussed. In the future, an objective test set has to be imagined, designed, and realized, also with the help of an external precise positioning equipment, to allow also quantitative and objective evaluation of the gain in precision and, maybe, of the intrinsic limitations of the proposed strategy. Moreover, advanced Artificial Intelligence-based (AI-based) real-time data integration strategies, specific for VG, will be designed and tested on the resulting dataset.

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