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IoMT-Enabled Fusion-Based Model to Predict Posture for Smart Healthcare Systems

Computers, Materials & Continua 2022年第5期71卷 2579-2597页

作者： Taher M.Ghazal Mohammad Kamrul Hasan Siti Norul Huda Abdullah khairul azmi abubakkar Mohammed A.M.Afifi Faculty of Information Science and Technology University Kebangsaan MalaysiaUKM43600SelangorMalaysia Skyline University College SharjahUnited Arab Emirates

Smart healthcare applications depend on data from wearable sensors(WSs)mounted on a patient’s body for frequent monitoring *** systems depend on multi-level data for detecting illnesses and consequently delivering correct diagnostic *** collection of WS data and integration of that data for diagnostic purposes is a difficult *** paper proposes an Errorless Data Fusion(EDF)approach to increase posture recognition *** research is based on a case study in a health *** the rise in smart healthcare systems,WS data fusion necessitates careful attention to provide sensitive analysis of the recognized *** a result,it is dependent on WS inputs and performs group analysis at a similar rate to improve diagnostic *** breakdowns,the constant time factor,aggregation,and analysis results all cause errors,resulting in rejected or incorrect *** paper resolves this problem by using EDF,which is related to patient situational discovery through healthcare surveillance *** of WS data are examined extensively using active and iterative learning to identify errors in specific *** technology improves position detection accuracy,analysis duration,and error rate,regardless of user *** devices play a critical role in the management and treatment of *** can ensure that patients are provided with a unique treatment for their medical *** paper discusses the EDF technique for optimizing posture identification accuracy through multi-feature *** first,the patients’walking patterns are tracked at various time *** characteristics are then evaluated in relation to the stored data using a random forest classifier.

关键词： Data fusion(DF) posture recognition healthcare systems(HCS) wearable sensor(WS) medical data errorless data fusion(EDF)

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