Potential of APDM mobility lab for the monitoring of the progression of Parkinson’s disease

Mancini, Martina; Horak, Fay B.

doi:10.1586/17434440.2016.1153421

Cited by 101 publications

(84 citation statements)

References 51 publications

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“…Other systems commonly detect gait by placing sensors at the lumbar [25–27] or shank [8,27,28] of the subject. Many of these systems are shown to be reasonably accurate [29,30] and repeatable (ICC ranging between 0.75 and 0.90) [31].…”

Section: Discussionmentioning

confidence: 99%

“…The APDM sensors are one such product, which allows clinicians to perform unobtrusive gait assessments in a simple and quick manner [8]. The APDM IMUs are wristwatch sized wireless devices that capture and store 3-D linear acceleration, angular velocity, and magnetic field (for directional orientation) using onboard accelerometers, gyroscopes, and magnetometers, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Validity and repeatability of inertial measurement units for measuring gait parameters

et al. 2017

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Inertial measurement units (IMUs) are small wearable sensors that have tremendous potential to be applied to clinical gait analysis. They allow objective evaluation of gait and movement disorders outside the clinic and research laboratory, and permit evaluation on large numbers of steps. However, repeatability and validity data of these systems are sparse for gait metrics. The purpose of this study was to determine the validity and between-day repeatability of spatiotemporal metrics (gait speed, stance percent, swing percent, gait cycle time, stride length, cadence, and step duration) as measured with the APDM Opal IMUs and Mobility Lab system. We collected data on 39 healthy subjects. Subjects were tested over two days while walking on a standard treadmill, split-belt treadmill, or overground, with IMUs placed in two locations: both feet and both ankles. The spatiotemporal measurements taken with the IMU system were validated against data from an instrumented treadmill, or using standard clinical procedures. Repeatability and minimally detectable change (MDC) of the system was calculated between days. IMUs displayed high to moderate validity when measuring most of the gait metrics tested. Additionally, these measurements appear to be repeatable when used on the treadmill and overground. The foot configuration of the IMUs appeared to better measure gait parameters; however, both the foot and ankle configurations demonstrated good repeatability. In conclusion, the IMU system in this study appears to be both accurate and repeatable for measuring spatiotemporal gait parameters in healthy young adults.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validity and repeatability of inertial measurement units for measuring gait parameters

et al. 2017

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“…Proper assessment of the characteristic features of each gait disorder should satisfy two conditions: (1) measure specific kinematic and temporal parameters that reflect deficits in particular neural circuitry [13] and (2) measure voluntary control of gait movements continuously over a long period of time during activities of daily living (ADL) [1,[5][6][7][8]. For these reasons, many types of wearable devices that monitor activities including gait have been proposed (see Table 1) [14][15][16][17][18][19][20][21][22][23][24]. Maetzler et al [14] proposed the following clinical features as targets for wearable…”

Section: Why Are Wearable Monitors Necessary In Clinical Management?mentioning

confidence: 99%

“…Step watch [19,20] Specific ankle-worn microprocessor-based step counter DynaPort [19,20] Accelerometer-mounted sensor attached on the trunk Devices that monitor changes in overall activities and gait disorders Mobility lab [21,22] Accelerometer-and gyroscope-mounted sensor attached on the limbs and trunk Physiolog [23] Accelerometer-, gyroscope-, and barometric pressure-mounted sensors attached on the limbs and trunk AX3 [24] Accelerometer-mounted sensor attached on the limbs or trunk Table 1. Features of currently available wearable devices.…”

Section: Types Of Sensorsmentioning

confidence: 99%

A Proposal for New Algorithm that Defines Gait-Induced Acceleration and Gait Cycle in Daily Parkinsonian Gait Disorders

Suzuki¹,

Yogo²,

Morita³

et al. 2018

Wearable Technologies

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We developed a new device, the portable gait rhythmogram (PGR), to record up to 70 hrs of movement-induced accelerations. Acceleration values induced by various movements, averaged every 10 min, showed gamma distribution, and the mean value of this distribution was used as an index of the amount of overall movements. Furthermore, the PGR algorithm can specify gait-induced accelerations using the pattern-matching method. Analysis of the relationship between gait-induced accelerations and gait cycle duration makes it possible to quantify Parkinson's disease (PD)-specific pathophysiological mechanisms underlying gait disorders. Patients with PD showed the following diseasespecific patterns: (1) reduced amount of overall movements and (2) low amplitude of gait-induced accelerations in the early stages of the disease, which was compensated by fast stepping. Loss of compensation was associated with slow stepping gait, (3) narrow range of gait-induced acceleration amplitude and gait cycle duration, suggesting monotony, and (4) evident motor fluctuations during the day by tracing changes in the above two parameters. Prominent motor fluctuation was associated with frequent switching between slow stepping mode and active mode. These findings suggest that monitoring various movement-and gait-induced accelerations allows the detection of specific changes in PD. We conclude that continuous long-term monitoring of these parameters can provide accurate quantitative assessment of parkinsonian clinical motor signs.

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“…They classified the following wearable devices as “recommended”: Mobility Lab™ [77, 78], Physilog® [79], StepWatch 3, TriTrac RT3, DynaPort [80, 81], and AX3 [82]. The Personal Kinetograph (PKG) has also been widely used in the clinical management of PD patients.…”

Section: Clinical Applicationsmentioning

confidence: 99%

Quantitative Analysis of Motor Status in Parkinson’s Disease Using Wearable Devices: From Methodological Considerations to Problems in Clinical Applications

Suzuki

Mitoma

Yoneyama³

2017

Parkinson's Disease

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Long-term and objective monitoring is necessary for full assessment of the condition of patients with Parkinson's disease (PD). Recent advances in biotechnology have seen the development of various types of wearable (body-worn) sensor systems. By using accelerometers and gyroscopes, these devices can quantify motor abnormalities, including decreased activity and gait disturbances, as well as nonmotor signs, such as sleep disturbances and autonomic dysfunctions in PD. This review discusses methodological problems inherent in wearable devices. Until now, analysis of the mean values of motion-induced signals on a particular day has been widely applied in the clinical management of PD patients. On the other hand, the reliability of these devices to detect various events, such as freezing of gait and dyskinesia, has been less than satisfactory. Quantification of disease-specific changes rather than nonspecific changes is necessary.

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Potential of APDM mobility lab for the monitoring of the progression of Parkinson’s disease

Cited by 101 publications

References 51 publications

Validity and repeatability of inertial measurement units for measuring gait parameters

Validity and repeatability of inertial measurement units for measuring gait parameters

A Proposal for New Algorithm that Defines Gait-Induced Acceleration and Gait Cycle in Daily Parkinsonian Gait Disorders

Quantitative Analysis of Motor Status in Parkinson’s Disease Using Wearable Devices: From Methodological Considerations to Problems in Clinical Applications

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