Sentence examples for balance evaluation from inspiring English sources

The Balance Evaluation Systems Test (BESTest) [ 33] evaluates six subsystems of balance control, including; biomechanical, stability limits/verticality, anticipatory postural adjustments for postural transitions, reactive postural response strategies, weighting of sensory information for orientation and postural stability during gait.

The clinical interview data were collected by the medical researchers (EAPN, JNN), whereas the balance evaluation data were taken by the same evaluator, blinded to clinical date (LMC).

This paper demonstrates that mass balance evaluation approach helps the WWTP engineers to distinguish and quantify between different strategies, where others could not.

The Balance Evaluation Systems Test (BESTest) measures various aspects of postural control, but little data exist in persons with multiple sclerosis (MS).

Indeed, in the absence of conventional input-output models, the proposed method involves the on-line energy balance evaluation to detect a sensor fault.

To assess the reliability, validity, and ability to identify fall status of the Balance Evaluation Systems Test (BESTest), Mini-BESTest, and Brief-BESTest, compared with the Berg Balance Scale (BBS), in older people living in the community.

Several interviewees explicitly used the terms "trade-off", "balance", "evaluations of risks and benefits", "weighting", and "risk assessment" when elaborating on this process.

The HCPs were provided with a copy of the patient's brief Balance Evaluations and Systems Test (BEST) test scores [ 29].

To validate the Fullerton Advanced Balance (FAB) Scale for patients with idiopathic Parkinson disease (PD); and to compare the FAB Scale with the Mini-Balance Evaluation Systems Test (Mini-BESTest) and Berg Balance Scale (BBS).

The quantity that used for energy-balancing evaluation is the energy variance over all nodes which calculated as follows: nu = frac{1}{n}sum_{i=1}^{n} (mathcal{A}_{i}- overline{mathcal{A}})^{2} where (mathcal {A}_{i}) is the energy availability level of sensor node i after the allocation and (overline {mathcal {A}}) is the mean value.

The study sponsor should be more willing to share this information to allow balanced evaluations and policy recommendations.