Turning difficulties after stroke and its relationship with trunk function

Liang, Pei-Jung; Chiu, Valeria; Teng, Yann-Cherng; Chiu, Hung Wen; Lee, Shu-Chun

doi:10.23736/s1973-9087.21.06841-6

Cited by 5 publications

(14 citation statements)

References 34 publications

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“…Six studies out of 21 investigated solely one subjects' group [ 57 , 59 , 64 , 69 , 70 , 77 ]. Other studies included two [ 58 , 61 , 62 , 66 , 71 , 72 ] or three subjects’ groups [ 60 , 63 , 65 , 67 , 68 , 73 – 76 ].…”

Section: Resultsmentioning

confidence: 99%

“…Out of all of the studies, 16 acquired data via inertial measurement units [ 57 , 59 – 66 , 68 – 70 , 72 – 75 ], three solely via camera motion system, and two employed camera motion system along with force platforms [ 71 , 76 ].…”

Section: Resultsmentioning

confidence: 99%

“…Out of 21 studies, 13 studies did not report the approach used to filter the measured signal [ 57 – 59 , 62 , 63 , 65 , 66 , 68 , 73 – 77 ]. All other studies used a low pass Butterworth filter signal with cut-off frequencies 1 Hz [ 61 ], 1.5 Hz [ 60 , 69 , 70 ], 5 Hz [ 72 ], and 30 Hz [ 64 ] for angular velocity, and 6 Hz [ 67 ] for marker trajectory. One study did not report cut-off frequency [ 71 ].…”

Section: Resultsmentioning

confidence: 99%

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Beyond timing and step counting in 360° turning-in-place assessment: a scoping review

Netukova,

Horakova,

Szabo

et al. 2024

BioMed Eng OnLine

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Background Turning in place is a challenging motor task and is used as a brief assessment test of lower limb function and dynamic balance. This review aims to examine how research of instrumented analysis of turning in place is implemented. In addition to reporting the studied population, we covered acquisition systems, turn detection methods, quantitative parameters, and how these parameters are computed. Methods Following the development of a rigorous search strategy, the Web of Science and Scopus were systematically searched for studies involving the use of turning-in-place. From the selected articles, the study population, types of instruments used, turn detection method, and how the turning-in-place characteristics were calculated. Results Twenty-one papers met the inclusion criteria. The subject groups involved in the reviewed studies included young, middle-aged, and older adults, stroke, multiple sclerosis and Parkinson’s disease patients. Inertial measurement units (16 studies) and motion camera systems (5 studies) were employed for gathering measurement data, force platforms were rarely used (2 studies). Two studies used commercial software for turn detection, six studies referenced previously published algorithms, two studies developed a custom detector, and eight studies did not provide any details about the turn detection method. The most frequently used parameters were mean angular velocity (14 cases, 7 studies), turn duration (13 cases, 13 studies), peak angular velocity (8 cases, 8 studies), jerkiness (6 cases, 5 studies) and freezing-of-gait ratios (5 cases, 5 studies). Angular velocities were derived from sensors placed on the lower back (7 cases, 4 studies), trunk (4 cases, 2 studies), and shank (2 cases, 1 study). The rest (9 cases, 8 studies) did not report sensor placement. Calculation of the freezing-of-gait ratio was based on the acceleration of the lower limbs in all cases. Jerkiness computation employed acceleration in the medio-lateral (4 cases) and antero-posterior (1 case) direction. One study did not reported any details about jerkiness computation. Conclusion This review identified the capabilities of turning-in-place assessment in identifying movement differences between the various subject groups. The results, based on data acquired by inertial measurement units across studies, are comparable. A more in-depth analysis of tests developed for gait, which has been adopted in turning-in-place, is needed to examine their validity and accuracy.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Beyond timing and step counting in 360° turning-in-place assessment: a scoping review

Netukova,

Horakova,

Szabo

et al. 2024

BioMed Eng OnLine

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“…Turning while walking may be more difficult to execute than turning on the spot because it is affected by impaired motor planning and patients with stroke have difficulty in changing from one motor program (walking) to another (turning). Also, turning to the paretic side was more challenging than turning to the other side ( 26 ) and associated with instability and falls ( 2 ). However, visuospatial ability was significantly correlated with all turning tasks.…”

Section: Discussionmentioning

confidence: 99%

“…The angular velocity (°/s) of both 180° and 360° turns were recorded for the analysis; angular velocity represents the mean angular velocity of the trunk along the rotation axis during turning, and decreased angular velocity indicates increased instability although there has been no normative value reported previously ( 25 ). This parameter was selected for the study because our previous research indicated that the turning velocity may be more sensitive than the time duration and number of steps required for representing the quality of the turning performance ( 26 ). The horizontal rotational rate of the lumbar sensor was used with a minimum of 45° accompanied by at least one right and one left foot stepping to detect turns.…”

Section: Methodsmentioning

confidence: 99%

Association Between Turning Mobility and Cognitive Function in Chronic Poststroke

et al. 2022

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Turning difficulties are common in patients with stroke. The detrimental effects of dual tasks on turning indicate a correlation between turning and cognition. Cognitive impairment is prevalent after stroke, and stroke patients with mild cognitive impairment had a poorer turning performance than did stroke patients with intact cognitive abilities. Therefore, we investigated the association between turning mobility and cognitive function in patients with chronic poststroke. Ninety patients with chronic stroke (>6 months post-stroke) were recruited. Angular velocity was assessed using wearable sensors during 180° walking turns and 360° turning on the spot from both sides. Global cognition and distinct cognitive domains were assessed using the Mini-Mental State Examination. In patients with stroke, turning mobility was significantly associated with global cognitive function and distinct cognitive domains, such as visuospatial ability and language. The balance function and lower limbs strength were mediators of the association between cognition and turning. The association highlights the complexity of the turning movement and dynamic motor and cognitive coordination necessary to safely complete a turn. However, our findings should be regarded as preliminary, and a thorough neuropsychological assessment to provide a valid description of distinct cognitive domains is required.

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