Robust correlation technology for online monitoring of changes in the state of the heart by means of laptops and smartphones

Алиев, Т. А.; Rzayeva, N. E.; Sattarova, Ulkar

doi:10.1016/j.bspc.2016.06.015

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…Correlation matrices are used for different engineering tasks as a tool of decision-making technologies. There is a great variety of tasks where correlation matrices are applied [16,17].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Technology and software to determine adequate normalized correlation matrices in the solution of identification problems

Sattarova

2017

EEJET

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Показано, що при класичному підході при нормуванні оцінок в діагональних елементах кореляційних матриць відсутні похибки від перешкод, а в інших же елементах ця похибка, навпаки, виникає. В результаті поліпшення обумовленості матриці від переходу до нормованих кореляційних матриць не спостерігається. Пропонуються технологія, софт для усунення цього недоліку і аналізу обчислювальних експериментів Ключові слова: реальний сигнал, перешкода, кореляційна функція, нормована кореляційна матриця, вхідний-вихідний сигнал Показано, что при классическом подходе при нормировании оценок в диагональных элементах корреляционных матриц отсутствуют погрешности от помех, а в остальных же элементах эта погрешность, наоборот, возникает. В результате улучшения обусловленности матрицы от перехода к нормированным корреляционным матрицам не наблюдается. Предлагается технология, софт для устранения этого недостатка и анализа вычислительных экспериментов Ключевые слова: реальный сигнал, помеха, корреляционная функция, нормированная корреляционная матрица, входной-выходной сигнал

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“…Correlation matrices are used for different engineering tasks as a tool of decision-making technologies. There is a great variety of tasks where correlation matrices are applied [16,17].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Technology and software to determine adequate normalized correlation matrices in the solution of identification problems

Sattarova

2017

EEJET

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“…The continuous improvement of smartphone electronics, the development of new app and the increase of users have stimulated research in the use of smartphone. Smartphone technology now includes a range of detection capabilities, thanks to the built-in camera, such as colorimetric detection [3], optical methods that are employed in an easy way and to share the information on real time, as well as quantification [4], monitoring [5], or mobile applications [6][7][8] developed to solve a problem such as freezing of gait in Parkinson's disease [9], glucose monitor [10], and to detect enzymes [11,12]. Also, it is used to developed devices, a Smartphones from an Applied Research Perspective spectrophotometer [13,14] and an electrocardiograph [15], and to create sensors or biosensors [1].…”

Section: Introductionmentioning

confidence: 99%

Smartphone as a Portable Detector, Analytical Device, or Instrument Interface

Bueno¹,

Marty²,

MuñozGuerrero³

2017

Smartphones From an Applied Research Perspective

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The Encyclopedia Britannia defines a smartphone as a mobile telephone with a display screen, at the same time serves as a pocket watch, calendar, addresses book and calculator and uses its own operating system (OS). A smartphone is considered as a mobile telephone integrated to a handheld computer. As the market matured, solid-state computer memory and integrated circuits became less expensive over the following decade, smartphone became more computer-like, and more more-advanced services, and became ubiquitous with the introduction of mobile phone networks. The communication takes place for sending and receiving photographs, music, video clips, e-mails and more. The growing capabilities of handheld devices and transmission protocols have enabled a growing number of applications. The integration of camera, access Wi-Fi, payments, augmented reality or the global position system (GPS) are features that have been used for science because the users of smartphone have risen all over the world. This chapter deals with the importance of one of the most common communication channels, the smartphone and how it impregnates in the science. The technological characteristics of this device make it a useful tool in social sciences, medicine, chemistry, detections of contaminants, pesticides, drugs or others, like so detection of signals or image.

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“…A recent report has stated that studies about reproducible and clinically actionable markers are lacking in the general case of psychiatry, such as overdependence [13]. This is shown in past literature also, with many utilizing smartphone monitoring application on physical indicators that monitors the changes in heart activity [14], screens for hearing loss [15], or assesses mobility of the elderly [16], etc. As mentioned, mental status such as overuse is still a difficult psychological marker to monitor, with conventional treatment relying on "perceived overuse", and not scientific evidence.…”

Section: Introductionmentioning

confidence: 99%

Design, Development and Implementation of a Smartphone Overdependence Management System for the Self-Control of Smart Devices

et al. 2016

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Background: Smartphone overdependence is a type of mental disorder that requires continuous treatment for cure and prevention. A smartphone overdependence management system that is based on scientific evidence is required. This study proposes the design, development and implementation of a smartphone overdependence management system for self-control of smart devices. Methods: The system architecture of the Smartphone Overdependence Management System (SOMS) primarily consists of four sessions of mental monitoring: (1) Baseline settlement session; (2) Assessment session; (3) Sensing & monitoring session; and (4) Analysis and feedback session. We developed the smartphone-usage-monitoring application (app) and MindsCare personal computer (PC) app to receive and integrate usage data from smartphone users. We analyzed smartphone usage data using the Chi-square Automatic Interaction Detector (CHAID). Based on the baseline settlement results, we designed a feedback service to intervene. We implemented the system using 96 participants for testing and validation. The participants were classified into two groups: the smartphone usage control group (SUC) and the smartphone usage disorder addiction group (SUD). Results: The background smartphone monitoring app of the proposed system successfully monitored the smartphone usage based on the developed algorithm. The usage minutes of the SUD were higher than the usage minutes of the SUC in 11 of the 16 categories developed in our study. Via the MindsCare PC app, the data were successfully integrated and stored, and managers can successfully analyze and diagnose based on the monitored data. Conclusion: The SOMS is a new system that is based on integrated personalized data for evidence-based smartphone overdependence intervention. The SOMS is useful for managing usage data, diagnosing smartphone overdependence, classifying usage patterns and predicting smartphone overdependence. This system contributes to the diagnosis of an abstract mental status, such as smartphone overdependence, based on specific scientific indicators without reliance on consultation.

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Robust correlation technology for online monitoring of changes in the state of the heart by means of laptops and smartphones

Cited by 10 publications

References 5 publications

Technology and software to determine adequate normalized correlation matrices in the solution of identification problems

Technology and software to determine adequate normalized correlation matrices in the solution of identification problems

Smartphone as a Portable Detector, Analytical Device, or Instrument Interface

Design, Development and Implementation of a Smartphone Overdependence Management System for the Self-Control of Smart Devices

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