Micro-Doppler Radar Measurement of Sit-to-Stand-to-Sit Movement for Evaluation of High-level Instrumental Activities of Daily Living

This study shows a significant relationship between the kinematic parameters of the sit-to-stand-to-sit movements (STSTS) sensed with a Micro-Doppler radar (MDR) and the scale of High-level Instrumental Activities of Daily Living (HL-IADLs) defined as an ability to perform modern daily activities independently. HL-IADLs are useful in evaluating the degree of disability in daily life; hence, this study aims to develop an MDR system that would enable HL-IADL impairment to be unconstrainedly monitored on a daily basis. The study participants were 65–74 years old. Their motion parameters (e.g., velocity and acceleration) in natural STSTS were extracted via a single 24-GHz MDR installed on the ceiling. Their HL-IADL scales were evaluated using a questionnaire-based scale, called the Japan Science and Technology Agency Index of Competence (JST-IC). The relationship between the JST-IC and the extracted STSTS kinematic parameters was then statistically analyzed. The results reveal that the extracted parameters were associated with the JST-IC score, suggesting the possibility of the HL-IADL impairment detection based on the MDR monitoring.

[1]  Nora Millor,et al.  Kinematic Parameters to Evaluate Functional Performance of Sit-to-Stand and Stand-to-Sit Transitions Using Motion Sensor Devices: A Systematic Review , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[2]  Ram M. Narayanan,et al.  Classification of human motions using empirical mode decomposition of human micro-Doppler signatures , 2014 .

[3]  Takayoshi Yamada,et al.  Relationships between ground reaction force parameters during a sit-to-stand movement and physical activity and falling risk of the elderly and a comparison of the movement characteristics between the young and the elderly. , 2009, Archives of gerontology and geriatrics.

[4]  H. Ring,et al.  Activities, participation and satisfaction one-year post stroke , 2007, Disability and rehabilitation.

[5]  G. Gomes,et al.  Relationship between lower-limb muscle strength and functional independence among elderly people according to frailty criteria: a cross-sectional study , 2014, Sao Paulo medical journal = Revista paulista de medicina.

[6]  Abdelhak M. Zoubir,et al.  Radar classification of human gait abnormality based on sum-of-harmonics analysis , 2018, 2018 IEEE Radar Conference (RadarConf18).

[7]  Prabitha Urwyler,et al.  Cognitive impairment categorized in community-dwelling older adults with and without dementia using in-home sensors that recognise activities of daily living , 2017, Scientific Reports.

[8]  David Scott,et al.  Accelerometer‐determined physical activity, muscle mass, and leg strength in community‐dwelling older adults , 2015, Journal of cachexia, sarcopenia and muscle.

[9]  D. Mograbi,et al.  The impact of dementia, depression and awareness on activities of daily living in a sample from a middle‐income country , 2018, International journal of geriatric psychiatry.

[10]  Kenshi Saho,et al.  Using Micro-Doppler Radar to Measure Gait Features Associated With Cognitive Functions in Elderly Adults , 2019, IEEE Access.

[11]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[12]  Li-Shan Chou,et al.  Region of Stability Derived by Center of Mass Acceleration Better Identifies Individuals with Difficulty in Sit-to-Stand Movement , 2013, Annals of Biomedical Engineering.

[13]  I. Cuthill,et al.  Effect size, confidence interval and statistical significance: a practical guide for biologists , 2007, Biological reviews of the Cambridge Philosophical Society.

[14]  Y-C Pai,et al.  Role of feedforward control of movement stability in reducing slip-related balance loss and falls among older adults. , 2003, Journal of neurophysiology.

[15]  Huosheng Hu,et al.  The Usefulness of Mean and Median Frequencies in Electromyography Analysis , 2012 .

[16]  Takao Suzuki Health status of older adults living in the community in Japan: Recent changes and significance in the super‐aged society , 2018, Geriatrics & gerontology international.

[17]  Misbah Ahmad,et al.  Towards A Smart Hospital: Automated Non-Invasive Patient's Discomfort Detection in Ward Using Overhead Camera , 2018, 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).