Balance Assessment in Subacute Stroke Patients Using the Balance Control Trainer (BalPro)

Song, Jin Won; Kim, Jong Min; Cheong, Youn Soo; Lee, Yang-Soo; Chun, Seong Min; Min, Yu-Sun; Jung, Tae-Du

doi:10.5535/arm.2017.41.2.188

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…Balance assessment is required to evaluate a person's balance ability. Subjective and objective assessment are classified as follows: subjective assessments measure balance via standardized tests such as the Berg balance scale, the Romberg test, and the forward reach test; objective assessments evaluate balance by analyzing the data obtained from instruments, such as force plate balance, motion capture, and inertial measurement unit (IMU) balance assessments [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Development of a Smartphone-Based Balance Assessment System for Subjects with Stroke

Hou¹,

Chiu²,

Chiang

et al. 2019

Sensors

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Stroke is a cerebral artery disease that negatively affects activities of daily living (ADLs) and quality of life (QoL). Smartphones have demonstrated strong potential in assessing balance performance. However, such smartphone-based tools have thus far not been applied to stroke survivors. The purpose of this study was to develop a smartphone-based balance assessment system for subjects who have experienced strokes and evaluate the system feasibility. The smartphone-based balance assessment application was developed with Android Studio, and reliability and validity tests were conducted. The smartphone was used to record data using a built-in accelerometer and gyroscope, and increased changes represented greater instability. Six postures were tested for 30 s each. Ten healthy adults were recruited in the reliability test, and the intraclass correlation coefficient (ICC) was used to analyze the within-day and between-day reliabilities. Eight subjects with chronic stroke and eight healthy adults were recruited for the validity test, in which balance performance was compared to represent the application validity. The ICC values of the reliability tests were at least 0.76 (p = 0.00). The acceleration data exhibited no difference between individuals who have experienced stroke and healthy subjects; however, all six postures were found to differ significantly between the two groups in the gyroscope data. The study demonstrates that the smartphone application provides a convenient, reliable, and valid tool for the balance assessments of subjects who have experienced chronic stroke.

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Section: Introductionmentioning

confidence: 99%

Development of a Smartphone-Based Balance Assessment System for Subjects with Stroke

Hou¹,

Chiu²,

Chiang

et al. 2019

Sensors

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show abstract

“…The Korean version of the Berg Balance Scale (K-BBS), generally considered the gold standard in assessing balance impairment, especially for patients with stroke (Berg et al, 1992), was used to evaluate each patient's ability in static and dynamic balancing during the tasks. It consists of 14 items that were scored from 0 meaning unstable to 4 meaning stable (Song et al, 2017). The total score was out of 56, with 41-56 indicating "good balance", 21-40 representing "acceptable balance impairment" and a score below 20 representing "balance impairment" (Berg et al, 1995).…”

Section: Balancementioning

confidence: 99%

Association of nursing hours with cognitive function, balance, and dependency level of stroke patients

Lee

2022

Nursing Open

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Aims To examine the association of nursing hours given to patients with stroke with clinical characteristics to predict the nursing care needs. Design Twenty‐four‐hour observational study Methods Nursing hours per patient day (NHPPD) of 171 stroke patients were measured by 146 nursing personnel who worked on the day of the observation. Cognitive function, balance ability and dependency level were assessed using the Korean version of the Mini‐Mental State Examination (K‐MMSE), the Korean version of the Berg Balance Scale (K‐BBS) and the Korean version of the Modified Barthel Index (K‐MBI), respectively. Results The NHPPD were moderately correlated with K‐MMSE ( r = −.450), K‐BBS ( r = −.529) and K‐MBI ( r = −.549). The worse the cognitive function, balance ability and dependency level, the more were the nursing hours given to the patients. Therefore, these factors can be considered to be factors that predict nursing care needs for patients with stroke.

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“…Although this research mainly focused on the powerlifting monitoring to show the practical usage of ultra‐wide pressure range, the same strategy can be applied in the rehabilitation test, such as the rehabilitation of stroke patients, because of its usefulness in balance monitoring. [ 24,25 ]…”

Section: Introductionmentioning

confidence: 99%

Ultra‐Wide Range Pressure Sensor Based on a Microstructured Conductive Nanocomposite for Wearable Workout Monitoring

Jeong

Byun³

et al. 2021

Adv Healthcare Materials

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Conventional flexible pressure sensors are not suitable for high‐pressure applications due to their low saturation pressure. In this study, an ultra‐wide range pressure sensor is designed based on the optimized microstructure of the polyimide/carbon nanotubes (PI/CNT) nanocomposite film. The sensing range of the pressure sensor is expanded by adopting polyimide (PI) with a high elastic modulus as a matrix material and its sensitivity is improved through functional sensing film with tip‐flattened microdome arrays. As a result, the pressure sensor can measure a wide pressure range (≈ 0–3000 kPa) and possesses the sensitivity of ≈ 5.66 × 10−3–0.23 × 10−3 kPa−1 with high reliability and durability up to 1000 cycles. The proposed sensor is integrated into the hand and foot pressure monitoring systems for workout monitoring. The representative values of the pressure distribution in the hands and feet during the powerlifting are acquired and analyzed through Pearson's correlation coefficient (PCC). The analyzed results suggest that the pressure sensor can provide useful real‐time information for healthcare and sports performance monitoring.

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Balance Assessment in Subacute Stroke Patients Using the Balance Control Trainer (BalPro)

Cited by 6 publications

References 22 publications

Development of a Smartphone-Based Balance Assessment System for Subjects with Stroke

Development of a Smartphone-Based Balance Assessment System for Subjects with Stroke

Association of nursing hours with cognitive function, balance, and dependency level of stroke patients

Ultra‐Wide Range Pressure Sensor Based on a Microstructured Conductive Nanocomposite for Wearable Workout Monitoring

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