Development of Postural Stability Index to Distinguish Different Stability States

Nurwulan, Nurul Retno; Jiang, Bernard C.; Novak, Vera

doi:10.3390/e21030314

Cited by 9 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conversely, the subjects in the current study were all healthy young adults with high adaptability to changes in the environment [3]. The performance accuracy could be higher if the acceleration data in all axes were considered and the subjects were not only healthy young adults [21].…”

Section: Resultsmentioning

confidence: 85%

Performance Evaluation of Decomposition Methods in Perturbed Walking

Nurwulan¹

2020

RIA

Self Cite

View full text Add to dashboard Cite

Mobile phones cannot be separated from our daily lives. Most of young adults use their mobile phones while walking and this potentially cause accidents. The current study aimed to evaluate the performance of decomposition methods to detect perturbed walking. Ten young adults were asked to perform normal walking and walking while playing game on their phones. The vertical acceleration data were decomposed using 4, 6, and 8 levels of ensemble empirical mode decomposition (EEMD), discrete wavelet transform (DWT), and wavelet packet decomposition (WPD) before the calculation of the step stability index (SSI) to detect the perturbation during walking. Machine learning techniques were used to evaluate the performance of the decomposition methods. The evaluation results showed that DWT with 6 levels of decomposition outperformed other decomposition methods. In conclusion, the DWT can be used to increase the sensitivity of the SSI method in detecting walking perturbation.

show abstract

Section: Resultsmentioning

confidence: 85%

Performance Evaluation of Decomposition Methods in Perturbed Walking

Nurwulan¹

2020

RIA

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study only observed the performance based on the real events such as collisions and falls. In the previous studies, devices such as force platform (Nurwulan et al, 2015) and wearable accelerometers (Nurwulan et al, 2019a;Nurwulan et al, 2019b) was used to quantify the postural stability. By using wearable accelerometer, the stability of postural tasks such as standing and walking can be determined by calculating the postural stability index (Nurwulan et al, 2019a;Nurwulan et al, 2019b).…”

Section: Resultsmentioning

confidence: 99%

“…Postural stability index is derived from the entropy analysis of the acceleration data. It has been shown that entropy analysis can differentiate the subtle changes in the postural stability (Nurwulan et al, 2019a). The postural stability index would be very beneficial to evaluate the pedestrian safety in real environment.…”

Section: Resultsmentioning

confidence: 99%

Impacts of Mobile Phone Distractions on Walking Performance

Selamaj

2020

IJoCED

View full text Add to dashboard Cite

This work studies the effect of playing mobile phones while walk-ing to pedestrian safety. Thirty young-adults were observed while walking around Skanderbeg square with and without playing Pokemon GO. Results show that the walking performance deteri-orated when the participants played Pokemon GO as can be seen from the average number of laps decreased from 2.47 to 1.58 laps, the average number of collisions increased from 0.27 to 3.93, and the average number of slip, trip and fall increased from 0.03 to 2.07. It can be concluded that using mobile phone while walking could be dangerous for pedestrian safety.

show abstract

“…Based on ensemble empirical mode decomposition (EEMD) and MSE and using an accelerometer, Nurwulan et al proposed a measure, the postural stability index (PSI), to distinguish different stability states in healthy subjects [ 13 ]. PSI is able to discriminate between normal walking and walking with obstacles in healthy subjects.…”

Section: Applications Of Existing Entropy-based Measuresmentioning

confidence: 99%