Current physical status evaluation subsystem using user-specific tuned membership functions in sport activity risk calculation

Tóth-Laufer, Edit; Tаkács, Marta; Keresztenyi, Z.

doi:10.1109/icccyb.2013.6617585

Cited by 6 publications

(8 citation statements)

References 13 publications

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“…The basic fuzzy model proposed in [24] and [47] is not able to coop with the dynamically changing circumstances, which includes the possibly insufficient amount of resources and reaction time. Furthermore, it cannot adaptively work with the available information, which is usually imperfect or even missing.…”

Section: A Anytime Fuzzy Modelmentioning

confidence: 99%

“…Some associated metrics and factors, which have an influence on them, are also used as input parameters to create patient-specific membership functions. The membership function tuning is described in details in [24]. Monitoring these values in real-time ensures the continuous control, thus this is the most important subsystem from the real-time evaluation point of view.…”

Section: A Overall Model Structurementioning

confidence: 99%

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A Soft Computing-Based Hierarchical Sport Activity Risk Level Calculation Model for Supporting Home Exercises

Tóth-Laufer

Várkonyi-Kóczy

2014

IEEE Trans. Instrum. Meas.

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With the spread of active styles of living, regular health monitoring and risk estimation of exercises became an essential part of everyday life. In this paper, a fuzzy logic-based hierarchical, classified risk calculation model is introduced, which can be used to assess the risk level of sport activity in realtime. The model considers the current physical status and the preliminary assessed medical conditions of the person, the activity load of the exercise, as well as the environmental conditions. Based on this information, a hierarchical fuzzy decision making system evaluates the risk level and sends warning (to the person to stop the activity) or alerting (to a medical doctor/hospital) or both if necessary. By this, serious health problems/crisis situations can be avoided. The complexity of the model is optimized by the application of the singular value decomposition-based complexity reduction algorithm. In critical situations [when the available (dynamically changing) amount of time, resources, and data become insufficient], the anytime mode of operation helps to cope with the temporal conditions and to find a tradeoff between the computational complexity of the evaluations and the accuracy of the results. The system can be operated real-time at home, thus making more comfortable and safer the active (preventive) life and rehabilitation processes of conscious people.

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Section: A Anytime Fuzzy Modelmentioning

confidence: 99%

Section: A Overall Model Structurementioning

confidence: 99%

A Soft Computing-Based Hierarchical Sport Activity Risk Level Calculation Model for Supporting Home Exercises

Tóth-Laufer

Várkonyi-Kóczy

2014

IEEE Trans. Instrum. Meas.

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show abstract

“…The risk assessment framework is applied in the authors' sport activity risk calculation model [3], which uses fuzzy logic based decision making in a hierarchical, clustered structure. The aim of the system is to calculate the risk level based on physiological and other personal parameters of the user to control the patient continuously.…”

Section: The Fuzzy-based Risk Assessment Frameworkmentioning

confidence: 99%

“…Step 3 The firing strength obtained in the previous step should be normalized by (3) to ensure the appropriate operation of the system.…”

Section: The Steps Of the Evaluationmentioning

confidence: 99%

“…However, basic physical information, including chronic diseases, actual physical status, age, and many other sub-factors, should be considered, in order to keep the practiced sport safe and healthy rather than resulting in the situation becoming worse [3]. To avoid the serious consequences, the implementation of a real-time risk assessment system is justified in order to continuously control the current risk level.…”

Section: Introductionmentioning

confidence: 99%

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