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Empirical Mode Decomposition and Decision Tree in Sarcopenia

Using Empirical Mode Decomposition and Decision Tree to Extract the Balance and Gait Features and Classification in Sarcopenia

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05396404
Enrollment
200
Registered
2022-05-31
Start date
2022-03-01
Completion date
2024-07-01
Last updated
2022-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Balance; Distorted, Fall, Gait, Unsteady, Sarcopenia

Keywords

empirical mode decomposition, machine learning, decision tree

Brief summary

Sarcopenia is quickly becoming a major global public health issue. Falls are the leading cause of mortality among the elderly, and they must be addressed. The investigators will use machine learning techniques such as empirical mode decomposition technology and decision tree algorithms to extract the characteristics and classification of sarcopenia in this retrospective study in order to offer clinically proven and effective interventional strategies to prevent, stabilize, and reverse sarcopenia.

Detailed description

Sarcopenia is becoming a severe global public health concern as the world's elderly population grows. Sarcopenia is characterized by muscular mass and strength loss, as well as impaired physical performance, and it is frequently connected with negative health outcomes such as falls. Falls are a primary cause of death in older individuals and must be addressed. Sarcopenia is currently diagnosed clinically using three primary technologies: imaging technology, precision medicine, and machine learning. In this study, the investigators will use previously collected data from nearly 200 community-dwelling subjects, including medical history, biochemistry, body composition, balance and gait, electromyography, and functional performance, to extract the characteristics and classification of sarcopenia using machine learning techniques such as empirical mode decomposition technology and decision tree algorithms. The investigators intend to offer clinically proven and effective interventional strategies to prevent, stabilize, and reverse sarcopenia.

Interventions

None listed

Sponsors

Changhua Christian Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
40 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

* aged from 40 - 90 * DXA test performed * blood sample tests were performed

Exclusion criteria

* stroke history * amputation * cancer related disease

Design outcomes

Primary

MeasureTime frameDescription
Body compositionbaseline: subject was enrolledDual energy x-ray absorptiometry (DEXA) measures bone mineral content (BMC), fat-free mass (FFM).
amplitude of Muscle activitybaseline: subject was enrolleduse electromyography to measure the muscles activity in microvolts (uv) included quadriceps, hamstrings, tibialis anterior, gastrocnemius during subject walking in self-selected speed in 6 meters.
center of pressure (COP)baseline: subject was enrolledUse computerized dynography to measure the postural sway displacement, velocity (etc., mm, mm/sec)
walking speedbaseline: subject was enrolled6m, patients can walk with foot orthosis and assistive devices
grip forcebaseline: subject was enrolledUse a grip force meter (kg) to test both hands for test 3 times
step timebaseline: subject was enrolledUse computerized dynography to measure spatial gait parameter: step time (ms)
stance timebaseline: subject was enrolledUse computerized dynography to measure spatial gait parameter: stance time (ms)
swing timebaseline: subject was enrolledUse computerized dynography to measure spatial gait parameter: swing time (ms)
step / stance lengthbaseline: subject was enrolledUse computerized dynography to measure spatial gait parameter: step / stance distance (mm)
muscle thicknessbaseline: subject was enrolledUse ultrasound to assess muscles morphological parameter: thickness (mm). Target muscles include quadriceps, hamstring, anterior tibialis, gastrocnemius.
international Quality of Life Assessment Short Form -36 (SF-36)baseline: subject was enrolledincluding 8 health concepts: (1) physical functioning, (2) role limitations because of physical health problems; (3) bodily pain, (4) social functioning, (5) general mental health (psychological distress and psychological wellbeing), (6) role limitations because of emotional problems, (7) vitality (energy/fatigue), (8) general health perceptions. Scoring: answers to each question are scored which are then summed and transformed to a 0 - 100 scale. The lower the score the more disability. The higher the score the less disability i.e., a score of zero is equivalent to maximum disability and a score of 100 is equivalent to no disability.
Fear of fall scalebaseline: subject was enrolledA 15-item self-report questionnaire for measuring fear of falling. Each item is rated on a Likert-type scale from 1 (strongly disagree) to 4 (strongly agree). The total possible score ranges from 15-60, with higher scores indicating greater fear of falling.
Bone densitybaseline: subject was enrolledA bone density test, DEXA, measures the mineral content of the bones in certain areas of the skeleton. A DEXA scan is a type of medical imaging test. It uses very low levels of x-rays to measure how dense participants' bones are. DEXA stands for dual-energy X-ray absorptiometry. The bone density area includes: Hip and Spine

Secondary

MeasureTime frameDescription
concentration of CRP (C-Reactive Protein)baseline: subject was enrolledThe concentration of CRP in the blood test. CRP is used mainly as a marker of inflammation.
concentration of ALB (Serum albumin)baseline: subject was enrolledThe concentration of ALB in the blood test. Albumin is the most important contributor to the maintenance of plasma colloid oncotic pressure; deficiency results in edema.
concentration of Glomerular Filtration Rate (GFR)baseline: subject was enrolledThe concentration of GFR in the blood test. The glomerular filtration rate is the best test to measure the patient's level of kidney function and determine the stage of kidney disease. It can calculate it from the results of the blood creatinine test.
concentration of Hemoglobin (Hb)baseline: subject was enrolledThe concentration of Hb in the blood test.
concentration of Glucose SPOTbaseline: subject was enrolledThe concentration of Glucose SPOT in the blood test. TheSpot glucose measurement in epidermal interstitial fluid appears to be a promising alternative to capillary blood glucose estimation
concentration of Cholesterolbaseline: subject was enrolledThe concentration of Cholesterol in the blood test.
concentration of Triglyceridebaseline: subject was enrolledThe concentration of Triglyceride in the blood test.
concentration of Transferrinbaseline: subject was enrolledThe concentration of Transferrin in the blood test.
Berg balance test (BBS)baseline: subject was enrolledincluding 14 items which are scored on a 5 points scale (0-4). The degree of success in achieving each task is given a score of zero (unable) to four (independent), and the final measure is the sum of all of the scores. The item scores are summed, minimum score =0, maximum score = 56
Body Mass Index (BMI)baseline: subject was enrolled(body weight) kg/(height) m\*(height)m
Mini-mental state examination (MMSE)baseline: subject was enrolledIt is an 11-question measure that tests five areas of cognitive function: orientation, registration, attention and calculation, recall, and language. The maximum score is 30. A score of 23 or lower is indicative of cognitive impairment.
calf muscle circumferencebaseline: subject was enrolledUse ruler to measure the bilateral calf muscle circumference, It is an anthropometric parameter commonly used in clinical practice.
Timed up and gobaseline: subject was enrolledTo determine fall risk and measure the progress of balance, sit to stand and walking. Patients wear their regular footwear and can use a walking aid, if needed. The patient starts in a seated position. The patient stands up upon therapist's command: walks 3 meters, turns around, walks back to the chair and sits down. The time stops when the patient is seated. To document if the assistive device used. Stopwatch to record the whole task duration.

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026