Overnight Monitoring of Turnover Movements in Parkinson’s Disease Using A Wearable Three-Axis Accelerometer

Akamatsu, Masashi; Shiraishi, Makoto; Uchino, Kenji; Maki, Futaba; Tsuruoka, Atsushi; Tanaka, Shigeaki; Hara, Daisuke; Hasegawa, Yasuhiro

doi:10.4172/2329-6895.1000267

Cited by 2 publications

(5 citation statements)

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“…In future studies focusing on daytime sleepiness or mood disorders, polysomnography combined with a sensor-based kinetic method may provide comprehensive data. A second limitation concerns the definition of turnover movements in bed for this study, which was based on the method reported by Akamatsu et al [ 8 ]. Sensors were set to pick up movements ≥30° around the posteroanterior body axis.…”

Section: Discussionmentioning

confidence: 99%

“…We used a published method for assessing turnover movements in bed with the three-axis accelerometer [ 8 ]. To state the method in brief, a wearable motion recorder (75 mm × 50 mm × 20 mm, 120 g) equipped with three-axis acceleration sensors (Mimamori-Gait system, MG-M1110-HW; LSI Medience, Tokyo, Japan) was fixed on the center of the abdomen at the navel using a special belt ( Fig 1 ).…”

Section: Methodsmentioning

confidence: 99%

“…Turnover movements in bed were defined as movements simultaneously registering acceleration along the three axes as follows: ≥0.58 G for the X axis; ≤0.32 G for the Y axis; and ≥0.20 G for the Z axis. These cut-off values were derived based on a 95% confidence interval to detect patient rotations ≥30° around the center of the anteroposterior axis as turnover movements in bed [ 8 ]. Accordingly, turnover movements with angles of rotation <30° were not regarded as turnover movements in bed.…”

Section: Methodsmentioning

confidence: 99%

“…Whether this nocturnal motor deficit affects the quality of life of PD patients thus remains unclear. In recent years, the accuracy of three-axis accelerometers has improved together with advances in miniaturization, and wearable accelerometers are now available to analyze kinetic data of overnight movements in PD patients [ 8 – 11 ]. This sensor-based kinetic analysis may shed light on the real clinical impact of difficulty turning over in bed among PD patients.…”

Section: Introductionmentioning

confidence: 99%

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Impact of inability to turn in bed assessed by a wearable three-axis accelerometer on patients with Parkinson's disease

et al. 2017

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BackgroundDifficulty turning over in bed is a common night-time symptom in Parkinson’s disease (PD). We aimed to quantitatively evaluate overnight turnover movements using a three-axis accelerometer and to investigate whether inability to turn in bed is related to daytime sleepiness, sleep quality, and depressive mood in PD patients.MethodsWe examined 64 patients with PD (mean age, 73.3±8.21 years; modified Hoehn-Yahr [mH-Y] stage, 3.0±1.0; disease duration, 7.2±6.3 years; unified Parkinson's disease rating scale [UPDRS], 36.9±18.3). Overnight monitoring of turnover movements using a wearable three-axis accelerometer was performed in all patients. Nocturnal kinetic parameters including total time recumbent, total time supine, number of turnover movements, and mean interval between turnover movements were obtained. Daytime immobility was assessed using the Barthel index (B-I), UPDRS, and mH-Y stage. Patients were also assessed with the Epworth Sleepiness Scale (ESS), Parkinson’s Disease Sleep Scale-2 (PDSS-2), and Beck Depression Inventory (BDI).ResultsNumber of turnover movements in bed correlated negatively with disease duration (r = -0.305; p<0.05), L-dopa-equivalent dose (r = -0.281; p<0.05), mH-Y staging (r = -0.336; p<0.01), total score of UPDRS (r = -0.386; p<0.01) and positively with B-I score (r = 0.365; p<0.01). Number of turnover movements in bed was generally inconsistent with awareness of turnover movement impairment as evaluated by PDSS-2 Item 9 scores, but patients who were never aware of impaired turnover movements showed ≥5 turnover movements overnight. Multivariate logistic regression analyses revealed no correlations between number of nocturnal turnover movements in bed and BDI, ESS, or PDSS-2. Use of anti-psychotic drugs was associated with ESS (p = 0.045). UPDRS was associated with PDSS-2 (p = 0.016).ConclusionDecreased number of turnover movements may not be a direct determinant of daytime sleepiness, sleep disorders, or depressive mood in PD patients. Use of anti-psychotic drugs and higher UPDRS score are factors significantly associated with daytime sleepiness and uncomfortable sleep, respectively.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of inability to turn in bed assessed by a wearable three-axis accelerometer on patients with Parkinson's disease

et al. 2017

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“…Because of the lack of methods to evaluate motor function during sleep, night time disability has not been fully elucidated or its severity has only been estimated based on the daytime motor impairment as evaluated by disease-specific clinimetric scales 1)2) . Recently, wearable threeaxis accelerometers have become available to analyze kinetic data of overnight movements [3][4][5][6][7][8] . Previously, we reported the clinical utility of overnight monitoring of turnover movements in bed for patients with Parkinson's disease (PD) 3)4) .…”

Section: Introductionmentioning

confidence: 99%

Overnight Accelerometric Monitoring of Nocturnal Motor Disability: Different Kinetic Properties between Parkinson’s Disease and Hemiplegic Stroke

Tanaka

Shiraishi

Uchino

et al. 2018

J St. Marianna Univ

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Wearable 3-axis accelerometers have been used to analyze kinetic data in patients with motor disability. We aimed to investigate whether the kinetic properties of turnover movements in bed are different between Parkinson's disease (PD) and hemiplegic stroke using accelerometer-based overnight monitoring. Patients with PD and hemiplegic stroke whose modified Rankin Scale (mRS) score ranged from 1 to 4 were prospectively enrolled. Patients were allocated to the slight disability group (mRS = 1 or 2) and moderate disability group (mRS = 3 or 4). In total, 45 PD patients and 39 hemiplegic stroke patients were enrolled. Total number of turnover movements in bed was similar between the PD and hemiplegic stroke patients. However, the number of turnovers to the affected side was higher in the hemiplegic stroke patients (p = 0.013). Directional preponderance in turnover movement was observed in hemiplegic stroke patients (p = 0.004). Among the hemiplegic stroke patients, all kinetic properties were significantly different between patients with slight disability and moderate disability, but not in the PD patients. Interaction of disease type, i.e.. PD or hemiplegic stroke, on the difference in number of turnover movements between slight and moderate disability was significant (p = 0.003). Our study showed that patients with hemiplegic stroke, but not PD, tend to rotate to their affected side when turning over. Estimation of night time motor disability by mRS scores, i.e.. daytime disability, may be feasible in hemiplegic stroke but not in PD. Thus accelerometer-based overnight kinetic analysis is needed to evaluate night time disability in PD.

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Overnight Monitoring of Turnover Movements in Parkinson’s Disease Using A Wearable Three-Axis Accelerometer

Cited by 2 publications

References 9 publications

Impact of inability to turn in bed assessed by a wearable three-axis accelerometer on patients with Parkinson's disease

Impact of inability to turn in bed assessed by a wearable three-axis accelerometer on patients with Parkinson's disease

Overnight Accelerometric Monitoring of Nocturnal Motor Disability: Different Kinetic Properties between Parkinson’s Disease and Hemiplegic Stroke

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