Postural control and gait measures derived from wearable inertial measurement unit devices in Huntington's disease: Recommendations for clinical outcomes

Desai, Radhika; Blacutt, Miguel; Youdan, Greg; Fritz, Nora; Muratori, Lisa M.; Hausdorff, Jeffrey M.; Busse, Monica; Quinn, Lori

doi:10.1016/j.clinbiomech.2022.105658

Cited by 3 publications

(7 citation statements)

References 33 publications

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“…APA ML amplitudes under no-load condition were significantly correlated with TMS and SDMT. Anticipatory postural adjustment evaluation could predict gait speed [ 61 ] The 90.5% of subjects was assigned to the right group after leave-one-subject–out cross validation and majority voting [ 68 ] Individuals with HD had a greater increase in standing postural sway compared to controls from single to dual-tasks and with changes to support surface. Patients with HD showed a greater dual-task motor cost compared to controls [ 66 ].…”

Section: Resultsmentioning

confidence: 99%

“…Total sway, root mean square and mean velocity during sitting, as well as gait speed had the greatest importance in classifying disease status. Stepwise regression showed that root mean square during standing with feet apart significantly predicted clinical measure of chorea, and ordinal regression model showed that root mean square and total sway standing feet together significantly predicted clinical measure of tandem walking [ 61 ] FXS FXS participants had reduced stride length and velocity, swing time, and peak turn velocity and greater double limb support time and number of steps to turn compared to controls under all conditions. Stride length variability was increased and cadence was reduced in FXS participants in the fast pace condition.…”

Section: Resultsmentioning

confidence: 99%

“…In a cross-sectional study, compliance and psychometric properties of upper and lower limb variables (e.g., sway path, spiral drawing speed variability, median turn speed, and step frequency variance) were extracted from a digital monitoring platform [ 55 ]. Balance and body sway (as root mean square [ 61 , 64 ], jerk, sway area and power [ 65 ], peak and mean thoracic and pelvic excursion [ 66 ]) were impaired even at the premanifest stage of disease.…”

Section: Resultsmentioning

confidence: 99%

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The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review

Poleur

Markati

Servais

2023

Orphanet J Rare Dis

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Developing drugs for rare diseases is challenging, and the precision and objectivity of outcome measures is critical to this process. In recent years, a number of technologies have increasingly been used for remote monitoring of patient health. We report a systematic literature review that aims to summarize the current state of progress with regard to the use of digital outcome measures for real-life motor function assessment of patients with rare neurological diseases. Our search of published literature identified 3826 records, of which 139 were included across 27 different diseases. This review shows that use of digital outcome measures for motor function outside a clinical setting is feasible and employed in a broad range of diseases, although we found few outcome measures that have been robustly validated and adopted as endpoints in clinical trials. Future research should focus on validation of devices, variables, and algorithms to allow for regulatory qualification and widespread adoption.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review

Poleur

Markati

Servais

2023

Orphanet J Rare Dis

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“…With regard to social interaction the interpretation of the data gets even more complex as culture and gender shapes our expectations about the intensity of facial expressions in the sense of emotions [ 41 , 42 ]. In contrast to orthopaedics, where gait measures start to establish as potential disease biomarkers [ 43 , 44 ], no references for an ideal facial movement exist in orthodontics. Therefore, efforts should be made to collect movement data in class I subjects and the integration of facial dynamics in diagnostics should be driven forward to achieve patient-centred comprehensive treatment plans.…”

Section: Discussionmentioning

confidence: 99%

The impact of orthodontic-surgical treatment on facial expressions—a four-dimensional clinical trial

Quast,

Sadlonova,

Asendorf

et al. 2023

Clin Oral Invest

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Objective The objective of this clinical trial was to compare facial expressions (magnitude, shape change, time, and symmetry) before (T0) and after (T1) orthognathic surgery by implementing a novel method of four-dimensional (4D) motion capture analysis, known as videostereophotogrammetry, in orthodontics. Methods This prospective, single-centre, single-arm trial included a total of 26 adult patients (mean age 28.4 years; skeletal class II: n = 13, skeletal class III: n = 13) with indication for orthodontic-surgical treatment. Two reproducible facial expressions (maximum smile, lip purse) were captured at T0 and T1 by videostereophotogrammetry as 4D face scan. The magnitude, shape change, symmetry, and time of the facial movements were analysed. The motion changes were analysed in dependence of skeletal class and surgical movements. Results 4D motion capture analysis was feasible in all cases. The magnitude of the expression maximum smile increased from 15.24 to 17.27 mm (p = 0.002), while that of the expression lip purse decreased from 9.34 to 8.31 mm (p = 0.01). Shape change, symmetry, and time of the facial movements did not differ significantly pre- and postsurgical. The changes in facial movements following orthodontic-surgical treatment were observed independently of skeletal class and surgical movements. Conclusions Orthodontic-surgical treatment not only affects static soft tissue but also soft tissue dynamics while smiling or lip pursing. Clinical relevance To achieve comprehensive orthodontic treatment plans, the integration of facial dynamics via videostereophotogrammetry provides a promising approach in diagnostics. Trial registration number DRKS00017206.

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“…Hereinafter, the attention is mainly paid to the gait analysis, which is receiving more and more credit as a viable tool for ergonomics, training program evaluation for athletes, and clinical assessment in orthopedics, neurology, and several other fields focused on musculoskeletal disorders [5,6] . For example, gait analysis provides useful indicators for the early diagnosis of Parkinson's disease.…”

Section: Introductionmentioning

confidence: 99%

Application Scenarios for Gait Analysis with Wearable Sensors and Machine Learning

D’Arco¹,

Guerritore²,

Tedesco³

2022

Proceedings of the 25th IMEKO TC4 International Symposium and 23rd International Workshop on ADC and DAC Modelling and Testing

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The digital revolution that characterizes the beginning of the 4.0 Era has already prompted out a variety of smart living technologies, which rely on the pervasive connectivity granted by the Internet of Things. These technologies are having a relevant impact on health systems, working and domestic environments, sports and rehabilitation, by enabling new promising practices for human body kinematic studies. This paper provides a specific discussion on how kinematic studies in clinical diagnosis, rehabilitation and sport, take benefit from the use of the recent smart living technologies. More specifically, in exploring the latest trends in the application of gait analysis using wearable sensors and Machine Learning techniques.

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Postural control and gait measures derived from wearable inertial measurement unit devices in Huntington's disease: Recommendations for clinical outcomes

Cited by 3 publications

References 33 publications

The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review

The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review

The impact of orthodontic-surgical treatment on facial expressions—a four-dimensional clinical trial

Application Scenarios for Gait Analysis with Wearable Sensors and Machine Learning

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