Network and service management and diagnostics solution of a remote patient monitoring system

Kozlovszky, Miklós; Meixner, Zsolt; Windisch, Gergely; Márton, Judit; Ács, Sándor; Bogdanov, Pal; Boruzs, Anikó; Kotcauer, Péter; Ferenczi, János; Kozlovszky, Viktor

doi:10.1109/lindi.2011.6031163

Cited by 4 publications

(5 citation statements)

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“…Based on the stored training exercises and the feedbacks/status information of the patients the existing rehabilitation protocols can be enhanced in the future. We are planning also to combine our existing DrHealth [7,8,9] portal with the MOVANDIS framework. DrHealth portal is a Liferay based server side graphical user interface which supports our existing Living Lab [7] infrastructure, provides remote patient monitoring for elderly persons and visualize medical sensor data (ECG, blood pressure, blood sugar level, pulse, etc.).…”

Section: Future Workmentioning

confidence: 99%

“…We are planning also to combine our existing DrHealth [7,8,9] portal with the MOVANDIS framework. DrHealth portal is a Liferay based server side graphical user interface which supports our existing Living Lab [7] infrastructure, provides remote patient monitoring for elderly persons and visualize medical sensor data (ECG, blood pressure, blood sugar level, pulse, etc.). Combination of our telerehabilitation and telemedicine solutions will enable us to monitor physiological and physical parameters together.…”

Section: Future Workmentioning

confidence: 99%

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Enabling patient remote rehabilitation through motion monitoring and analysis

Kozlovszky

2013

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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Accurate motion monitoring can provide detailed information through qualitative and quantitative analysis of patient movements in the field of rehabilitation and thus can become an effective tool set for treatment of motion problems. Normally patients are doing rehabilitation training programs under the guidance of their supervisor only during some small fragment (1-2 hours) of the day. Remote motion monitoring can enable skilled medical staff to monitor closely patient's training activities at home during the whole day, thus multi-part (morning, afternoon, evening) training sessions can be included easily into the daily life and in certain cases (e.g.: stroke rehabilitation) this can enhance the healing process significantly and can lead to better restoration results. Accurate movement/motion monitoring can enable medical experts to introduce individual (patient specific) rehabilitation programs, and assess the value of the training program at any time with high granularity level. The MOVANDIS framework is a novel, generic, vendor independent motion data collector and movement visualizer software solution. This paper focuses mainly its internal architecture, and its usage scenarios within the field of telerehabilitation.

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Section: Future Workmentioning

confidence: 99%

Section: Future Workmentioning

confidence: 99%

Enabling patient remote rehabilitation through motion monitoring and analysis

Kozlovszky

2013

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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“…The color value for each signal point is given by (1) where (2) and V is the value of the instant to be represented; finally, VMax is the maximum value of the signal.…”

Section: ) Coloured Rotating Bandmentioning

confidence: 99%

“…Medical devices are now small sized, light weighted and able to detect with precision, clarity and real time data even in emergency situations [1,2]. Developing such devices; for analogue signals such as blood pressure, temperature, electroencephalograms, electrocardiograms (ECG) and photoplethysmograms (PPG); requires the availability of test signals capable to represent different physical conditions [3].…”

Section: Introductionmentioning

confidence: 99%

An alternative light based signal apparatus for generating biological patterns: Oximetry

Perez

Pérez

Betancur

et al. 2013

2013 Pan American Health Care Exchanges (PAHCE)

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In spite of the lack of low cost biosignal specific purpose generators, there have been processing strategies to simulate control signals and dynamic states of different pathological diseases. Commercial simulators are not able to reproduce all signal behavior; thereby, we developed a light based emulator able to provide different signal patterns using colorimetry and spectrophotometry. Several parameters are configurable according to customer requirements. Amplitude and frequency are controlled by the usage of a DC motor, a coloured band, a mechanical structure, and, particularly, an oximetry probe. The prototype emulator provides basic signals such as sine, square, triangle, or complex physiological signals, as photoplethysmograms (PPG) and Electrocardiograms (ECG). Other complex patterns include sources of error and chaotic characteristics such as noise or motion artifact, can be simulated. The device may be used to analyze, determine and verify data acquisition platforms, medical instrumentation, training tool interfaces, among others. Preliminary results have contributed to the construction and validation of complex patterns; corroborating practicality, operability and reliability of the proposed product and reducing developing time on representations.

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“…Because of the problem of the aging population in the developed world these monitoring systems mainly focus on elderly people with chronic diseases [4]- [8]. They spend their days often alone and unattended, therefore an emergency frequently occurs unnoticed.…”

Section: Introductionmentioning

confidence: 99%