Taking Vital Signs for Remote Monitoring Systems

2011 ◽  
Author(s):  
Marise Mikulis ◽  
Ewan Arthur Meldrum
Keyword(s):  
Remote Monitoring ◽  
Vital Signs ◽  
Monitoring Systems ◽  
Remote Monitoring Systems

scholarly journals The pilot, proof of concept REMOTE-COVID trial: remote monitoring use in suspected cases of COVID-19 (SARS-CoV 2)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fahad Mujtaba Iqbal ◽  
Meera Joshi ◽  
Gary Davies ◽  
Sadia Khan ◽  
Hutan Ashrafian ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Wearable Sensors ◽  
Healthcare Delivery ◽  
Vital Signs ◽  
Clinical Deterioration ◽  
Feasibility Trial ◽  
Monitoring Systems ◽  
Proof Of Concept ◽  
Telephone Contact ◽  
Remote Monitoring Systems

Abstract Background SARS-CoV-2 has ever-increasing attributed deaths. Vital sign trends are routinely used to monitor patients with changes in these parameters preceding an adverse event. Wearable sensors can measure vital signs continuously and remotely, outside of hospital facilities, recognising early clinical deterioration. We aim to determine the feasibility & acceptability of remote monitoring systems for quarantined individuals in a hotel suspected of COVID-19. Methods A pilot, proof-of-concept, feasibility trial was conducted in engineered hotels near London airports (May–June 2020). Individuals arriving to London with mild suspected COVID-19 symptoms requiring quarantine, as recommended by Public Health England, or healthcare professionals with COVID-19 symptoms unable to isolate at home were eligible. The SensiumVitals™ patch, measuring temperature, heart & respiratory rates, was applied on arrival for the duration of their stay. Alerts were generated when pre-established thresholds were breeched; trained nursing staff could consequently intervene. Results Fourteen individuals (M = 7, F = 7) were recruited; the mean age was 34.9 (SD 11) years. Mean length of stay was 3 (SD 1.8) days. In total, 10 vital alerts were generated across 4 participants, resulting in telephone contact, reassurance, or adjustment of the sensor. No individuals required hospitalisation or virtual general practitioner review. Discussion This proof-of-concept trial demonstrated the feasibility of a rapidly implemented model of healthcare delivery through remote monitoring during a pandemic at a hotel, acting as an extension to a healthcare trust. Benefits included reduced viral exposure to healthcare staff, with recognition of clinical deterioration through ambulatory, continuous, remote monitoring using a discrete wearable sensor. Conclusion Remote monitoring systems can be applied to hotels to deliver healthcare safely in individuals suspected of COVID-19. Further work is required to evaluate this model on a larger scale. Trial registration Clinical trials registration information: ClinicalTrials.gov Identifier: NCT04337489 (07/04/2020).

Remote Monitoring of Hydroprojects: Design, Installation, and Verification of Remote Monitoring Systems

1998 ◽  
Author(s):  
JOhn W. Lemons ◽  
Michael C. Vorwerk ◽  
Joe H. Carroll ◽  
William E. Jabour
Keyword(s):  
Remote Monitoring ◽  
Monitoring Systems ◽  
Remote Monitoring Systems

Remote Monitoring Systems for Detection of Contact by Unauthorized Construction Equipment and the Cathodic Protection Condition on Buried Pipelines

2004 ◽  
Author(s):  
Shozo Hatanaka ◽  
Masahiko Tange ◽  
Morio Sumiyama
Keyword(s):  
Signal Processing ◽  
Cathodic Protection ◽  
Remote Monitoring ◽  
Heavy Traffic ◽  
Construction Equipment ◽  
Monitoring Systems ◽  
Indirect Methods ◽  
Detection Systems ◽  
Transmission Pipeline ◽  
Remote Monitoring Systems

It is necessary to avoid spreading damage to the pipe when it is struck by construction equipment. It is difficult to install indirect methods (e.g. fiber optic sensors) for detection of construction equipment in heavy traffic areas. Therefore, remote monitoring systems, which can detect contact between such equipment and the steel of polyethylene-lined pipe, were developed and installed on a gas transmission pipeline (φ 600 mm, Length 9.4 km). Detection uses the change in pipe-to-earth resistance which is derived from inner pipe current and pipe to soil potential when contact occurs. Old and new data of pipe-to-earth resistance are continuously compared. If equipment contacts the steel pipe, pipe-to-earth resistance will drop below 100 Ω. The detection systems include maximal length sequence signal (pseudo-random signal) processing. This signal processing is superior for noise reduction. These systems also have remote monitoring of the cathodic protection condition (pipe to soil potential, current of coupons (probes), and transformer rectifier output voltage and current). From the office, pipeline lining and cathodic protection conditions are monitored at all times.

Compressive SensingBased Remote Monitoring Systems for IoT applications

2018 ◽  
Author(s):  
Hamza Djelouat ◽  
MOHAMED Al Disi ◽  
Abbes Amira ◽  
Faycal Bensaali
Keyword(s):  
Remote Monitoring ◽  
Monitoring Systems ◽  
Iot Applications ◽  
Remote Monitoring Systems

A Cloud Multi-Tenant Architecture for Developing Machine Remote Monitoring Systems

2015 ◽  
Vol 764-765 ◽  
pp. 775-778
Author(s):  
Shang Liang Chen ◽  
Ying Han Hsiao ◽  
Yun Yao Chen ◽  
You Chen Lin
Keyword(s):  
Data Storage ◽  
Remote Monitoring ◽  
Monitoring Systems ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Storage Devices ◽  
Machine Manufacturer ◽  
Remote Monitoring Systems ◽  
Monitoring Module ◽  
Client Side

This study proposes innovative multi-tenant remote monitoring platform architecture based on cloud with an injection machine manufacturer as cloud data center. This study was designed to develop machine connection mechanism and monitoring module, etc. with machine manufacturers. Under the architecture of this study, machine manufacturers can provide virtualization technology based remote monitoring systems for manufacturing buyers to rapidly develop custom monitoring software. All data storage devices such as servers are provided by the machine manufacturer, and the client side can effectively manage injection machine data by simply renting virtual machine space.

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