scholarly journals Remote Monitoring of Perforator Flaps Using an Innovative Device with an Application for Mobile Phone: A Pilot Study

2017 ◽  
Vol 02 (01) ◽  
pp. e37-e41 ◽  
Author(s):  
Miguel de la Parra ◽  
Javier Montaño
Keyword(s):  
Pilot Study ◽  
Mobile Phone ◽  
Real Time ◽  
Remote Monitoring ◽  
Temperature Sensor ◽  
Reliable Method ◽  
Web Page ◽  
Perforator Flaps ◽  
Significant Difference ◽  
Flap Monitoring

Background Surveillance and monitoring of perforator flaps has been well established for many years as a reliable method to detect early changes in the blood flow of the flap. In this manner, early flap revisions could be performed in cases of probable thrombosis. Methods We performed a pilot study that included the first 12 patients to use this device. A temperature sensor electrode was used for remote monitoring of perforator flaps using a mobile phone in real time via a general pocket radio service and short messages developed by the authors, allowing the surgeon to check the temperature from any location. Results The device continually displays the temperature of the flaps in real time performing a curve with measurements every 5 minute using the web page. A significant difference (p < 0.05) is shown between flaps with sufficient flow and flaps with venous thrombosis. Conclusion Real-time direct thermography via the surgeon's mobile phone is a reliable method for flap monitoring, facilitating monitorization during the time when the surgeon is away from the hospital.

Real time microdialysis analysis for free flap monitoring: results of a pilot study

2012 ◽  
Vol 50 ◽  
pp. S36-S37
Author(s):  
T. Aldridge ◽  
K. Herd ◽  
S. Colbert ◽  
R. Anand ◽  
P. Brennan
Keyword(s):  
Pilot Study ◽  
Real Time ◽  
Free Flap ◽  
Free Flap Monitoring ◽  
Flap Monitoring

scholarly journals Real-time incidence of travel-related symptoms through a smartphone-based app remote monitoring system: a pilot study

2018 ◽  
Vol 25 (1) ◽  
Author(s):  
N Rodriguez-Valero ◽  
M J Ledesma Carbayo ◽  
D Cuadrado Sanchez ◽  
A Vladimirov ◽  
M Espriu ◽  
...  
Keyword(s):  
Pilot Study ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Remote Monitoring System ◽  
System A

Remote Video Monitoring and Controling System Based on Web Services

2011 ◽  
Vol 383-390 ◽  
pp. 4439-4445 ◽  
Author(s):  
Han Lin ◽  
Hong Ji Lin
Keyword(s):  
Web Services ◽  
Mobile Phone ◽  
Real Time ◽  
Remote Monitoring ◽  
Smart Home ◽  
Video Monitoring ◽  
Great Flexibility ◽  
3G Network

The capabilities of 3G network are steadily increasing and provide the great flexibility of remote mointor and surveillance while being mobile. We propose the use of Web services in our system in order to solve interoperability issues between the stationary mointor center and moving client. so that the remote monitoring and controling can be carrid out by using the video carema and infrared transceiver according to the user's instructions. To explore this paradigm and to gain an understanding of these issues, we have implemented a Smart Home System where the householders can can control the electrical appliances and have real-time view in their home by using their mobile phone.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

scholarly journals Telemedicine Chronic Viral Hepatitis C Treatment during the Lockdown Period in Romania: A Pilot Study

2021 ◽  
Vol 18 (7) ◽  
pp. 3694
Author(s):  
Irina Paula Doica ◽  
Dan Nicolae Florescu ◽  
Carmen Nicoleta Oancea ◽  
Adina Turcu-Stiolica ◽  
Mihaela-Simona Subtirelu ◽  
...  
Keyword(s):  
Hepatitis C ◽  
Medication Adherence ◽  
Pilot Study ◽  
Multidisciplinary Approach ◽  
Therapy Monitoring ◽  
Antiviral Agents ◽  
Item Score ◽  
Hcv Therapy ◽  
Viral Hepatitis C ◽  
Significant Difference

The COVID-19 pandemic is currently delaying the process of chronic hepatitis C (HCV) eradication, since most of the chronic diseases are neglected. Thus, there is a need for alternative programs for HCV therapy implementation and disease monitoring. Our aim was to provide a multidisciplinary approach, so that HCV-infected patients from distant locations may benefit from HCV antivirals during the COVID-19 outbreak and within the lockdown period in Romania. Previously diagnosed HCV patients willing to participate in this telemedicine pilot study were included. Patient characteristics and medical adherence were assessed and compared to the year preceding the pandemic. We proposed a multidisciplinary approach by using a telemedicine program for HCV therapy monitoring. Patients also received a satisfaction questionnaire after delivering the sustained virologic response (SVR) result. A total of 41 patients agreed to participate in this study. The medication adherence was 100% for patients included in the telemedicine group, with a statistically significant difference from the medication adherence of the patients treated in 2019. The satisfaction item score was 4.92 out of 5 and our results (r = −0.94, p < 0.0001) suggested that older patients embraced the telemedicine program less, but with the same success in terms of SVR (100%) and medication adherence (100%). Our pilot study offers the first example of a telemedicine program in Romania for HCV therapeutic management. During the lockdown period, telemedicine has served as a reliable tool and novel alternative for conventional monitoring of patients treated with direct antiviral agents and should be further considered even following the pandemic.

scholarly journals Piloting the Play Cycle Observation Method in ‘real time’: Recording children’s Play Cycles in pre-school provision

2020 ◽  
pp. 1476718X2096985
Author(s):  
Pete King ◽  
LaDonna Atkins ◽  
Brandon Burr
Keyword(s):  
Pilot Study ◽  
Real Time ◽  
School Setting ◽  
Early Years ◽  
Good Reliability ◽  
Rater Reliability ◽  
Children's Play ◽  
Observational Tool ◽  
Observation Method ◽  
And Training

The Play Cycle Observation Method (PCOM) is an observational tool developed to focus on the process of play and has shown good reliability when watching videos of children playing. This study piloted use of the PCOM in ‘real time’ in a pre-school setting where 3-year-old children play. The results from two independent observers not familiar with the concept of the Play Cycle or the PCOM found good inter-rater reliability using Cohen Kappa (k) when observing play cues to form play cycles, as well as observing play cues within established play cycles. In addition, the recording of the nature of the play cues and play returns, the play frame and how the play cycle finishes (annihilation) were shown to be consistent between the two inter-rater observers. The results of this pilot study indicate the PCOM can be used as an observational tool to record the process of play by both students and practitioners working in a range of contexts including playwork, childcare, early years and statutory education. The PCOM can also be used as a teaching and training aid for trainers and lecturers.

Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of Artificial Intelligence: A pilot Study

Endoscopy ◽  
2020 ◽  
Author(s):  
Alanna Ebigbo ◽  
Robert Mendel ◽  
Tobias Rückert ◽  
Laurin Schuster ◽  
Andreas Probst ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Pilot Study ◽  
White Light ◽  
Submucosal Invasion ◽  
Learning System ◽  
Endoscopic Images ◽  
Barrett’S Cancer ◽  
Significant Difference ◽  
Sensitivity Specificity

Background and aims: The accurate differentiation between T1a and T1b Barrett’s cancer has both therapeutic and prognostic implications but is challenging even for experienced physicians. We trained an Artificial Intelligence (AI) system on the basis of deep artificial neural networks (deep learning) to differentiate between T1a and T1b Barrett’s cancer white-light images. Methods: Endoscopic images from three tertiary care centres in Germany were collected retrospectively. A deep learning system was trained and tested using the principles of cross-validation. A total of 230 white-light endoscopic images (108 T1a and 122 T1b) was evaluated with the AI-system. For comparison, the images were also classified by experts specialized in endoscopic diagnosis and treatment of Barrett’s cancer. Results: The sensitivity, specificity, F1 and accuracy of the AI-system in the differentiation between T1a and T1b cancer lesions was 0.77, 0.64, 0.73 and 0.71, respectively. There was no statistically significant difference between the performance of the AI-system and that of human experts with sensitivity, specificity, F1 and accuracy of 0.63, 0.78, 0.67 and 0.70 respectively. Conclusion: This pilot study demonstrates the first multicenter application of an AI-based system in the prediction of submucosal invasion in endoscopic images of Barrett’s cancer. AI scored equal to international experts in the field, but more work is necessary to improve the system and apply it to video sequences and in a real-life setting. Nevertheless, the correct prediction of submucosal invasion in Barret´s cancer remains challenging for both experts and AI.

scholarly journals Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3956
Author(s):  
Youngsun Kong ◽  
Hugo F. Posada-Quintero ◽  
Ki H. Chon
Keyword(s):  
Real Time ◽  
Electrodermal Activity ◽  
Smartphone Application ◽  
Real Time Processing ◽  
Pain Stimulation ◽  
Significant Difference ◽  
Before And After ◽  
Electrical Pulses ◽  
Pain Detection ◽  
High Level

The subjectiveness of pain can lead to inaccurate prescribing of pain medication, which can exacerbate drug addiction and overdose. Given that pain is often experienced in patients’ homes, there is an urgent need for ambulatory devices that can quantify pain in real-time. We implemented three time- and frequency-domain electrodermal activity (EDA) indices in our smartphone application that collects EDA signals using a wrist-worn device. We then evaluated our computational algorithms using thermal grill data from ten subjects. The thermal grill delivered a level of pain that was calibrated for each subject to be 8 out of 10 on a visual analog scale (VAS). Furthermore, we simulated the real-time processing of the smartphone application using a dataset pre-collected from another group of fifteen subjects who underwent pain stimulation using electrical pulses, which elicited a VAS pain score level 7 out of 10. All EDA features showed significant difference between painless and pain segments, termed for the 5-s segments before and after each pain stimulus. Random forest showed the highest accuracy in detecting pain, 81.5%, with 78.9% sensitivity and 84.2% specificity with leave-one-subject-out cross-validation approach. Our results show the potential of a smartphone application to provide near real-time objective pain detection.

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