Quantification of Arm Swing during Walking in Healthy Adults and Parkinson’s Disease Patients: Wearable Sensor-Based Algorithm Development and Validation

Neurological pathologies can alter the swinging movement of the arms during walking. The quantification of arm swings has therefore a high clinical relevance. This study developed and validated a wearable sensor-based arm swing algorithm for healthy adults and patients with Parkinson’s disease (PwP). Arm swings of 15 healthy adults and 13 PwP were evaluated (i) with wearable sensors on each wrist while walking on a treadmill, and (ii) with reflective markers for optical motion capture fixed on top of the respective sensor for validation purposes. The gyroscope data from the wearable sensors were used to calculate several arm swing parameters, including amplitude and peak angular velocity. Arm swing amplitude and peak angular velocity were extracted with systematic errors ranging from 0.1 to 0.5° and from −0.3 to 0.3°/s, respectively. These extracted parameters were significantly different between healthy adults and PwP as expected based on the literature. An accurate algorithm was developed that can be used in both clinical and daily-living situations. This algorithm provides the basis for the use of wearable sensor-extracted arm swing parameters in healthy adults and patients with movement disorders such as Parkinson’s disease.

[1]  Jaap H van Dieën,et al.  Effect of arm swing strategy on local dynamic stability of human gait. , 2015, Gait & posture.

[2]  S. Sveinbjornsdottir The clinical symptoms of Parkinson's disease , 2016, Journal of neurochemistry.

[3]  Øyvind Gløersen,et al.  Predicting Missing Marker Trajectories in Human Motion Data Using Marker Intercorrelations , 2016, PloS one.

[4]  W. Gibb,et al.  The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease. , 1988, Journal of neurology, neurosurgery, and psychiatry.

[5]  F. Cavallo,et al.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review , 2017, Front. Neurosci..

[6]  Jeffrey M. Hausdorff,et al.  Effects of Aging on Arm Swing during Gait: The Role of Gait Speed and Dual Tasking , 2015, PloS one.

[7]  B. Bloem,et al.  Quantitative wearable sensors for objective assessment of Parkinson's disease , 2013, Movement disorders : official journal of the Movement Disorder Society.

[8]  Martina Mancini,et al.  Levodopa Is a Double‐Edged Sword for Balance and Gait in People With Parkinson's Disease , 2015, Movement disorders : official journal of the Movement Disorder Society.

[9]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[10]  Jeffrey M. Hausdorff,et al.  Long-term unsupervised mobility assessment in movement disorders , 2020, The Lancet Neurology.

[11]  R. Hilker,et al.  Arm swing asymmetry in Parkinson's disease measured with ultrasound based motion analysis during treadmill gait. , 2012, Gait & posture.

[12]  C. Häger,et al.  Assessment of arm movements during gait in stroke - the Arm Posture Score. , 2014, Gait & posture.

[13]  R. van Emmerik,et al.  Resonant frequencies of arms and legs identify different walking patterns. , 2000, Journal of biomechanics.

[14]  Masayoshi Kubo,et al.  Biomechanical mechanism for transitions in phase and frequency of arm and leg swing during walking , 2004, Biological Cybernetics.

[15]  Sean Pearson,et al.  Continuous Monitoring of Turning in Patients with Movement Disability , 2013, Sensors.

[16]  Patrick Boissy,et al.  Using Inertial Sensors to Automatically Detect and Segment Activities of Daily Living in People With Parkinson’s Disease , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  Nir Giladi,et al.  Arm swing as a potential new prodromal marker of Parkinson's disease , 2016, Movement disorders : official journal of the Movement Disorder Society.

[18]  Jeffrey M. Hausdorff,et al.  The Parkinson's disease e‐diary: Developing a clinical and research tool for the digital age , 2019, Movement disorders : official journal of the Movement Disorder Society.

[19]  Xuemei Huang,et al.  Dopaminergic modulation of arm swing during gait among Parkinson's disease patients. , 2015, Journal of Parkinson's disease.

[20]  Ilse Jonkers,et al.  Arm swing in human walking: what is their drive? , 2014, Gait & posture.

[21]  Luca Palmerini,et al.  Assessing Gait in Parkinson’s Disease Using Wearable Motion Sensors: A Systematic Review , 2019, Diseases.

[22]  Catherine Dehollain,et al.  Gait assessment in Parkinson's disease: toward an ambulatory system for long-term monitoring , 2004, IEEE Transactions on Biomedical Engineering.

[23]  Jorunn L Helbostad,et al.  Estimation of gait cycle characteristics by trunk accelerometry. , 2004, Journal of biomechanics.

[24]  Jacques Duysens,et al.  The how and why of arm swing during human walking. , 2013, Gait & posture.

[25]  Joseph M Mahoney,et al.  Both coordination and symmetry of arm swing are reduced in Parkinson's disease. , 2012, Gait & posture.

[26]  Lynn Rochester,et al.  Gait analysis with wearables predicts conversion to Parkinson disease , 2019, Annals of neurology.

[27]  Paolo Bonato,et al.  Gait impairments in Parkinson's disease , 2019, The Lancet Neurology.

[28]  J. L. Orozco,et al.  Objective Arm Swing Analysis in Early-Stage Parkinson's Disease Using an RGB-D Camera (Kinect®). , 2020, Journal of Parkinson's disease.

[29]  B. Zörner,et al.  Arm swing asymmetry in overground walking , 2018, Scientific Reports.

[30]  Gert S. Faber,et al.  Algorithm for Turning Detection and Analysis Validated under Home-Like Conditions in Patients with Parkinson’s Disease and Older Adults using a 6 Degree-of-Freedom Inertial Measurement Unit at the Lower Back , 2017, Front. Neurol..

[31]  Xuemei Huang,et al.  Arm swing magnitude and asymmetry during gait in the early stages of Parkinson's disease. , 2010, Gait & posture.

[32]  K Bötzel,et al.  Normative data for arm swing asymmetry: how (a)symmetrical are we? , 2015, Gait & posture.