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This paper presents a MARG Sensors based walking motion analysis method that can be used for rehabilitation treatment evaluation under ambulatory conditions in daily lives. A commercial inertial measure unit MTx is fixed on human shank segment. Then digital data box worn on the waist transmits the raw data to laptop with Blue-tooth for post processing.(More)
This paper presents a wearable sensor approach to motion measurements of human lower limbs, in which subjects perform specified walking trials at self-administered speeds so that their level walking and stair ascent capacity can be effectively evaluated. After an initial sensor alignment with the reduced error, quaternion is used to represent 3-D(More)
Human papillomavirus (HPV)-related head and neck malignancies (HNMs) have become a serious health risk over the past 20 years. Despite decreases in non-HPV-related HNMs, the incidence of HPV-related HNMs has skyrocketed, and a new form of tumorigenesis is developing. HPV type 16 is the primary offender, and the majority of these tumors present in the(More)
Gait analysis has become a research highlight. In this paper, we propose a computing method using wearable MARG (magnetic angular rate and gravity sensor arrays) with wireless network, which can calculates absolute and relative orientation and position information of human foot motion during level walking and stair climbing process. Three-dimensional foot(More)
An uncoordinated salen-containing metal-organic framework (MOF) obtained through postsynthesis removal of Mn(III) ions from a metallosalen-containing MOF material has been used for selective separation of Th(IV) ion from Ln(III) ions in methanol solutions for the first time. This material exhibited an adsorption capacity of 46.345 mg of Th/g. The separation(More)
In this paper, a new method of human motion segmentation is proposed, which the inertial data of human movement was acquired through wearable Inertial measurement unit (IMU), and the feature of raw time series data was directly extracted, which was segmented by sliding window, and then by combining Support Vector Machines (SVM) classifier as the algorithm(More)