Application of an Effective Methodology forAnalysis of Fragility and Its Components inthe Elderly
Fragility is a syndrome characterized by reduced physical and cognitive reserves making the elderly more vulnerable to adverse events, hospitalizations, falls, loss of independence, and death. Inertia sensors have been applied to quantify motion assessment in Timed Up and Go (TUG) test, accelerometers are used during balance assessment, and algorithms differentiate fragile, pre-fragile, and robust elderly people.
Objective: Developing a multifunctional sensor to evaluate fragility, based on marker phenotype and deficit accumulation index.
Methods: Primary, exploratory, interventional, analytical, and transversal study with a technological approach. The study will be developed, in partnership with researchers from the Federal University of Itajubá-MG using high-tech, multifunctional, and cost-effective sensor equipment in combination with a 3-axis gyroscope, a 3-axis accelerometer, electromyography and frequency meter, analysis of movement quality, energy expenditure, gait velocity, change in balance, heart rate variability during movement, and quality of quadriceps muscle contraction.
The data will be analyzed by software developed after the prototyping of the equipment. The fragility analysis procedure will not cause any damage or impairment to the health of the elderly participants, since the items used during the procedure will be the sensor, the measurement of the instruments, the Barthel Index, the Mental State Examination, and the Self-rated fragility assessment.
The validation of the sensor will not cause damage or impairment to the health of the participants.
Locations: Samuel Libânio Clinical Hospital, in the clinics of Health Clinic, Dementia, and Assistance Nucleus Nursing Education, and in the Basic Health Units of the municipality of Pouso Alegre-MG.
Casuistry: Convenience sample.
Eligibility criteria: 300 elderly people, 60 years of age or older, both sexes, signing the Free and Informed Consent Form (TCLE), and approval by the Research Ethics Committee of University of Vale do Sapucaí (UNIVÁS).
Criteria for non-inclusion: Elderly people with immobility or severe cognitive impairment that impedes understanding of the orientation towards the TUG.
Exclusion criteria: The waiving of continuing the study after the signing of the TCLE.
KeywordsHealthcare information technology Frail elderly Medical device Wearable Accelerometry
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