ArticleIEEE transactions on bio-medical engineering2021
Inertial Sensor Algorithms to Characterize Turning in Neurological Patients With Turn Hesitations.
Article in IEEE transactions on bio-medical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review.Orphanet journal of rare diseases · 2023Pooled it
- Capacity Versus Performance of Volitional Head Turns After Mild Traumatic Brain Injury.The Journal of head trauma rehabilitation · 2026Article
- Effects of Levodopa on Gait in People With Parkinson's Disease With and Without a History of Falls.Movement disorders clinical practice · 2025Article
- Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson's Disease.Sensors (Basel, Switzerland) · 2025Article
- Your turn: At home turning angle estimation for Parkinson's disease severity assessment.Artificial intelligence in medicine · 2025Article
- Smartphone Application for Spastic Ataxias Cross-Sectional Validation of a Newly Developed Smartphone App for Remote Monitoring in Spastic Ataxias.Cerebellum (London, England) · 2025Article
- Continuous Monitoring of Head Turns: Compliance, Kinematics, and Reliability of Wearable Sensing.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Personalized versus fixed tactile cueing in Parkinson's disease: Protocol for a randomized controlled trial on gait automaticity.PloS one · 2025Article
- Impact-Aware Foot Motion Reconstruction and Ramp/Stair Detection Using One Foot-Mounted Inertial Measurement Unit.Sensors (Basel, Switzerland) · 2024Article
- Effect of Levodopa and Environmental Setting on Gait and Turning Digital Markers Related to Falls in People with Parkinson's Disease.Movement disorders clinical practice · 2023Article
- Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson's disease.Frontiers in neurology · 2023Article
- Between-site equivalence of turning speed assessments using inertial measurement units.Gait & posture · 2021Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundOne difficulty in turning algorithm design for inertial sensors is detecting two discrete turns in the same direction, close in time. A second difficulty is under-estimation of turn angle due to short-duration hesitations by people with neurological disorders. We aimed to validate and determine the generalizability of a: I. Discrete Turn Algorithm for variable and sequential turns close in time and II: Merged Turn Algorithm for a single turn angle in the presence of hesitations.
methodsWe validated the Discrete Turn Algorithm with motion capture in healthy controls (HC, n = 10) performing a spectrum of turn angles. Subsequently, the generalizability of the Discrete Turn Algorithm and associated, Merged Turn Algorithm were tested in people with Parkinson's disease (PD, n = 124), spinocerebellar ataxia (SCA, n = 51), and HC (n = 125).
resultsThe Discrete Turn Algorithm shows improved agreement with optical motion capture and with known turn angles, compared to our previous algorithm by El-Gohary et al. The Merged Turn algorithm that merges consecutive turns in the same direction with short hesitations resulted in turn angle estimates closer to a fixed 180-degree turn angle in the PD, SCA, and HC subjects compared to our previous turn algorithm. Additional metrics were proposed to capture turn hesitations in PD and SCA.
conclusionThe Discrete Turn Algorithm may be particularly useful to characterize turns when the turn angle is unknown, i.e., during free-living conditions. The Merged Turn algorithm is recommended for clinical tasks in which the single-turn angle is known, especially for patients who hesitate while turning.
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