3105 Development of an information-interoperable environment for inside the factory (2nd Report) : A remote monitoring application system using multi-media

With computer technology, communication technology and the rapid development of electronic technology, remote monitoring technology will be more widely used for data transmission requirements and more stringent. GPRS-based remote monitoring system, which is based in communications equipment, through the server to PC, as the remote control platform, embedded applications, network programming and other technology, the remote information display and control. Throughout the system, users can allow each terminal in the case of permission to accept the data on the changes and settings. Wireless network communication is important that the network transmission of data security and consistency, to solve this problem this thesis, performance of network communications software technology to achieve self-monitoring and self-recovery, while use of end to end encryption to encrypt data on the transmission , which can guarantee data reliability, completeness, real time and security.

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Solar power management with super capacitor in GSM network monitoring application system

Journal of Nuclear Energy Science & Power Generation Technology ◽

10.4172/2325-9809-c2-012 ◽

2018 ◽

Vol 07 ◽

Author(s):

Alvin T Dela Pena

Keyword(s):

Power Management ◽

Solar Power ◽

Network Monitoring ◽

Super Capacitor ◽

Application System ◽

Gsm Network ◽

Monitoring Application

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Environmental Study with the Remote Monitoring Application in Rural Water Source Based on LabVIEW

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.830.327 ◽

2013 ◽

Vol 830 ◽

pp. 327-330

Author(s):

Meng Li

Keyword(s):

Remote Monitoring ◽

Wireless Lan ◽

Water Source ◽

Environmental Study ◽

Remote Monitoring System ◽

Controlling System ◽

Rural Water ◽

Decentralized Management ◽

Monitoring Application ◽

Artificial Control

In order to improve the present situation of rural water source which need artificial control of the spot, decentralized management, design the project of the remote monitoring system based on LabVIEW. Realize device communication of the site through the RS485 bus, and then through a serial port server realize communication of Field devices and upper PC t through wireless LAN. Using NI Modbus user database programming of LabVIEW, implement the remote monitoring and controlling .System prove to be simple, reliable communication by way of practice, can basicly meet the requirements of remote monitoring water source. Keywords: remote monitoring ;LabVIEW;RS485

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Study on an Intelligent Monitoring Application System of Construction Machinery

2009 Second International Symposium on Knowledge Acquisition and Modeling ◽

10.1109/kam.2009.252 ◽

2009 ◽

Author(s):

Qinghui Zhou ◽

Jianmin Sun

Keyword(s):

Application System ◽

Intelligent Monitoring ◽

Construction Machinery ◽

Monitoring Application

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Validation of smartphone-based assessments of depressive symptoms using the Remote Monitoring Application in Psychiatry (ReMAP)

10.1101/2020.08.27.20183418 ◽

2020 ◽

Cited By ~ 1

Author(s):

Janik Goltermann ◽

Daniel Emden ◽

Elisabeth J. Leehr ◽

Katharina Dohm ◽

Ronny Redlich ◽

...

Keyword(s):

Depressive Symptoms ◽

Affective Disorder ◽

Remote Monitoring ◽

Rating Scale ◽

Depressive Symptomatology ◽

Systematic Investigation ◽

Psychiatric Research ◽

Depression Severity ◽

Single Item ◽

Monitoring Application

Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge on their psychometric properties; especially their validity. Here, we conducted a systematic investigation of the validity of smartphone-based assessments of affective symptoms by using the smartphone app Remote Monitoring Application in Psychiatry (ReMAP). Beck Depression Inventory (BDI), and single-item mood and sleep information was assessed via the ReMAP app and validated with stationary (non-smartphone) BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). We found overall high comparability between smartphone-based and stationary BDI scores (ICC=.921, p<.001, n=173). Smartphone-based BDI further correlated with stationary HDRS ratings of depression severity (r=.783, p<.001, n=51). Higher agreement between smartphone and stationary assessments was found in affective disorder patients as compared to healthy controls, and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (r=-.538, p<.001, n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (r=-.310, p<.001, n=166). The present findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and therefore represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.

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Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study (Preprint)

10.2196/preprints.24333 ◽

2020 ◽

Author(s):

Janik Goltermann ◽

Daniel Emden ◽

Elisabeth Johanna Leehr ◽

Katharina Dohm ◽

Ronny Redlich ◽

...

Keyword(s):

Depressive Symptoms ◽

Affective Disorder ◽

Remote Monitoring ◽

Rating Scale ◽

Intraclass Correlation ◽

Psychiatric Research ◽

Depression Severity ◽

Single Item ◽

Self Reports ◽

Monitoring Application

BACKGROUND Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants’ self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge about their psychometric properties, especially their validity. OBJECTIVE The goal of this study is to systematically investigate the validity of smartphone-administered assessments of self-reported affective symptoms using the Remote Monitoring Application in Psychiatry (ReMAP). METHODS The ReMAP app was distributed to 173 adult participants of ongoing, longitudinal psychiatric phenotyping studies, including healthy control participants, as well as patients with affective disorders and anxiety disorders; the mean age of the sample was 30.14 years (SD 11.92). The Beck Depression Inventory (BDI) and single-item mood and sleep information were assessed via the ReMAP app and validated with non–smartphone-based BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). RESULTS We found overall high comparability between smartphone-based and non–smartphone-based BDI scores (intraclass correlation coefficient=0.921; P<.001). Smartphone-based BDI scores further correlated with non–smartphone-based HDRS ratings of depression severity in a subsample (r=0.783; P<.001; n=51). Higher agreement between smartphone-based and non–smartphone-based assessments was found among affective disorder patients as compared to healthy controls and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (r=–0.538; P<.001; n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (r=–0.310; P<.001; n=166). CONCLUSIONS These findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and, therefore, represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.

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Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study

JMIR Mental Health ◽

10.2196/24333 ◽

2021 ◽

Vol 8 (1) ◽

pp. e24333

Author(s):

Janik Goltermann ◽

Daniel Emden ◽

Elisabeth Johanna Leehr ◽

Katharina Dohm ◽

Ronny Redlich ◽

...

Keyword(s):

Depressive Symptoms ◽

Affective Disorder ◽

Remote Monitoring ◽

Rating Scale ◽

Intraclass Correlation ◽

Psychiatric Research ◽

Depression Severity ◽

Single Item ◽

Self Reports ◽

Monitoring Application

Background Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants’ self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge about their psychometric properties, especially their validity. Objective The goal of this study is to systematically investigate the validity of smartphone-administered assessments of self-reported affective symptoms using the Remote Monitoring Application in Psychiatry (ReMAP). Methods The ReMAP app was distributed to 173 adult participants of ongoing, longitudinal psychiatric phenotyping studies, including healthy control participants, as well as patients with affective disorders and anxiety disorders; the mean age of the sample was 30.14 years (SD 11.92). The Beck Depression Inventory (BDI) and single-item mood and sleep information were assessed via the ReMAP app and validated with non–smartphone-based BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). Results We found overall high comparability between smartphone-based and non–smartphone-based BDI scores (intraclass correlation coefficient=0.921; P<.001). Smartphone-based BDI scores further correlated with non–smartphone-based HDRS ratings of depression severity in a subsample (r=0.783; P<.001; n=51). Higher agreement between smartphone-based and non–smartphone-based assessments was found among affective disorder patients as compared to healthy controls and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (r=–0.538; P<.001; n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (r=–0.310; P<.001; n=166). Conclusions These findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and, therefore, represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.

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