Research graph
References from Real-world feasibility of privacy-preserving, non-wearable AI for real-time fall detection with disease-specific video classification in parkinsonian syndromes: a proof-of-concept clinical study. Local targets link to admitted publications; unresolved targets remain external evidence.
Falls in Parkinson's disease: a complex and evolving picture
10.1002/mds.27195 · 2017 · External reference
Fall risk in relation to individual physical activity exposure in patients with different neurodegenerative diseases: a pilot study
10.1007/s12311-018-1002-x · 2019 · External reference
Geriatric rehabilitation: gait in the elderly, fall prevention and Parkinson disease
10.1016/j.mcna.2019.10.012 · 2020 · External reference
Practice parameter: assessing patients in a neurology practice for risk of falls (an evidence-based review): report of the quality standards Subcommittee of the American Academy of neurology
10.1212/01.wnl.0000299085.18976.20 · 2008 · External reference
Understanding falls in progressive supranuclear palsy
10.1016/j.parkreldis.2016.12.009 · 2017 · External reference
Parkinson's disease
10.1016/s0140-6736(14)61393-3 · 2015 · External reference
Parkinson's disease
10.1016/s0140-6736(21)00218-x · 2021 · External reference
Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study
10.1016/s0140-6736(12)61263-x · 2013 · External reference
Unresolved reference
2024 · External reference
Fall detection approach based on combined two-channel body activity classification for innovative indoor environment
10.1007/s12652-022-03714-2 · 2023 · External reference
Comparative study of orthogonal moments for human postures recognition
10.1016/j.engappai.2023.105855 · 2023 · External reference
Can AI make people happy? The effect of AI-based chatbot on smile and speech in Parkinson's disease
10.1016/j.parkreldis.2022.04.018 · 2022 · External reference
Proceedings of the ninth annual deep brain stimulation think tank: advances in cutting edge technologies, artificial intelligence, neuromodulation, Neuroethics, pain, interventional psychiatry, epilepsy, and traumatic brain injury
10.3389/fnhum.2022.813387 · 2022 · External reference
Artificial intelligence in Parkinson's disease: early detection and diagnostic advancements
10.1016/j.arr.2024.102410 · 2024 · External reference
Medical image classification using lightweight deep spiking neural network
10.1007/s40998-025-00808-3 · 2025 · External reference
Real-time 2d multi-person pose estimation on cpu: lightweight openpose
2018 · External reference
Clinical diagnosis of progressive supranuclear palsy: the movement disorder society criteria
10.1002/mds.26987 · 2017 · External reference
The Movement Disorder Society criteria for the diagnosis of multiple system atrophy
10.1002/mds.29005 · 2022 · External reference
Criteria for the diagnosis of corticobasal degeneration
10.1212/wnl.0b013e31827f0fd1 · 2013 · External reference
MDS clinical diagnostic criteria for Parkinson's disease
10.1002/mds.26424 · 2015 · External reference
Agreement between video footage and fall incident reports on the circumstances of falls in long-term care
10.1016/j.jamda.2014.12.003 · 2015 · External reference
An algorithm (decision tree) for the management of Parkinson's disease (2001): treatment guidelines
10.1212/wnl.56.suppl_5.s1 · 2001 · External reference
Falls in people with Parkinson's disease: a prospective comparison of community and home-based falls
10.1016/j.gaitpost.2017.04.005 · 2017 · External reference
The effect of subjective postural vertical on forward flexed posture in Parkinson's disease
10.1016/j.parkreldis.2024.107102 · 2024 · External reference
A coefficient of agreement for nominal scales
10.1177/001316446002000104 · 1960 · External reference
Falls in outpatients with Parkinson's disease: frequency, impact and identifying factors
10.1007/s00415-005-0855-3 · 2005 · External reference
Fall risk and its Management in Parkinson's disease
10.11477/mf.188160960780010021 · 2026 · External reference
Five-year risk of cardiovascular events and falling in Parkinson's disease with orthostatic hypotension: A nationwide cohort study
10.1016/j.parkreldis.2026.108217 · 2026 · External reference
Prevention of falls in Parkinson's disease: a review of fall risk factors and the role of physical interventions
10.2217/nmt.14.22 · 2014 · External reference
Prevention of falls in Parkinson's disease: guidelines and gaps
10.1002/mdc3.13860 · 2023 · External reference
Extrinsic and behavioral fall risk factors in people with Parkinson's disease: an integrative review
10.1097/rnj.0000000000000265 · 2021 · External reference
Longitudinal falls data in Parkinson's disease: feasibility of fall diaries and effect of attrition
10.1080/09638288.2017.1329357 · 2018 · External reference
Quantification of rehabilitation for patients with Parkinson's disease and related disorders using wearable devices; a proof of concept
10.3389/fneur.2025.1609823 · 2025 · External reference
A proof of concept: digital diary using 24-hour monitoring using wearable device for patients with Parkinson's disease in nursing homes
10.3389/fneur.2024.1356042 · 2024 · External reference
Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson's disease in Japan
10.1038/s41598-023-29382-6 · 2023 · External reference
Fall Prediction in People with Parkinson's Disease
10.1109/embc48229.2022.9872013 · 2022 · External reference
Wearable accelerometer in clinical use
10.1109/iembs.2005.1616160 · 2005 · External reference
Longitudinal assessment of falls in patients with Parkinson's disease using inertial sensors and the timed up and go test
10.1177/2055668317750811 · 2018 · External reference
Inertial-based gait metrics during turning improve the detection of early-stage Parkinson's disease patients
10.1109/tnsre.2023.3237903 · 2023 · External reference
Smartphone-based evaluation of postural stability in Parkinson’s disease patients during quiet stance
10.3390/electronics9060919 · 2020 · External reference
Remote smartphone gait monitoring and fall prediction in Parkinson’s disease during the COVID-19 lockdown
10.1007/s10072-021-05351-7 · 2021 · External reference
Home-based monitoring of falls using wearable sensors in Parkinson's disease
10.1002/mds.27830 · 2020 · External reference
Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson's disease: a systematic review
10.3389/fnagi.2023.1119956 · 2023 · External reference
Accelerometer-based fall detection using machine learning: training and testing on real-world falls
10.3390/s20226479 · 2020 · External reference
Covariance matrix based fall detection from multiple wearable sensors
10.1016/j.jbi.2019.103189 · 2019 · External reference
Preliminary examination of the accuracy of a fall detection device embedded into hearing instruments
10.3766/jaaa.19056 · 2020 · External reference
A reliable fall detection system based on analyzing the physical activities of older adults living in long-term care facilities
10.1109/tnsre.2021.3133616 · 2021 · External reference
Support vector machine classifiers show high generalizability in automatic fall detection in older adults
10.3390/s21217166 · 2021 · External reference
Towards safer environments: a YOLO and MediaPipe-based human fall detection system with alert automation
10.1016/j.mex.2025.103623 · 2025 · External reference
Robust 3D skeletal joint fall detection in occluded and rotated views using data augmentation and inference-time aggregation
10.3390/s25216783 · 2025 · External reference
Efficient fall detection from wrist-worn IMU signals via knowledge distillation: a lightweight CNN approach using the UMAFall dataset
10.3390/s26113328 · 2026 · External reference
Systematic review for the prevention and management of falls and fear of falling in patients with Parkinson's disease
10.1002/brb3.2690 · 2022 · External reference
Predicting fall counts using wearable sensors: a novel digital biomarker for Parkinson's disease
10.3390/s22010054 · 2021 · External reference
High-specificity digital architecture for real-time recognition of loss of balance inducing fall
10.3390/s20030769 · 2020 · External reference
Using clinical scales and digital measures to explore falls in patients with Lewy body dementia
10.1159/000529623 · 2023 · External reference
Systematic review for the prevention and management of falls and fear of falling in patients with Parkinson's disease
10.1002/brb3.2690 · ExternalCitation · doi-reference
Prevention of falls in Parkinson's disease: guidelines and gaps
10.1002/mdc3.13860 · ExternalCitation · doi-reference
MDS clinical diagnostic criteria for Parkinson's disease
10.1002/mds.26424 · ExternalCitation · doi-reference
Clinical diagnosis of progressive supranuclear palsy: the movement disorder society criteria
10.1002/mds.26987 · ExternalCitation · doi-reference
Falls in Parkinson's disease: a complex and evolving picture
10.1002/mds.27195 · ExternalCitation · doi-reference
Home-based monitoring of falls using wearable sensors in Parkinson's disease
10.1002/mds.27830 · ExternalCitation · doi-reference
The Movement Disorder Society criteria for the diagnosis of multiple system atrophy
10.1002/mds.29005 · ExternalCitation · doi-reference
Falls in outpatients with Parkinson's disease: frequency, impact and identifying factors
10.1007/s00415-005-0855-3 · ExternalCitation · doi-reference
Remote smartphone gait monitoring and fall prediction in Parkinson’s disease during the COVID-19 lockdown
10.1007/s10072-021-05351-7 · ExternalCitation · doi-reference
Fall risk in relation to individual physical activity exposure in patients with different neurodegenerative diseases: a pilot study
10.1007/s12311-018-1002-x · ExternalCitation · doi-reference
Fall detection approach based on combined two-channel body activity classification for innovative indoor environment
10.1007/s12652-022-03714-2 · ExternalCitation · doi-reference
Medical image classification using lightweight deep spiking neural network
10.1007/s40998-025-00808-3 · ExternalCitation · doi-reference
Artificial intelligence in Parkinson's disease: early detection and diagnostic advancements
10.1016/j.arr.2024.102410 · ExternalCitation · doi-reference
Comparative study of orthogonal moments for human postures recognition
10.1016/j.engappai.2023.105855 · ExternalCitation · doi-reference
Falls in people with Parkinson's disease: a prospective comparison of community and home-based falls
10.1016/j.gaitpost.2017.04.005 · ExternalCitation · doi-reference
Agreement between video footage and fall incident reports on the circumstances of falls in long-term care
10.1016/j.jamda.2014.12.003 · ExternalCitation · doi-reference
Covariance matrix based fall detection from multiple wearable sensors
10.1016/j.jbi.2019.103189 · ExternalCitation · doi-reference
Geriatric rehabilitation: gait in the elderly, fall prevention and Parkinson disease
10.1016/j.mcna.2019.10.012 · ExternalCitation · doi-reference
Towards safer environments: a YOLO and MediaPipe-based human fall detection system with alert automation
10.1016/j.mex.2025.103623 · ExternalCitation · doi-reference
Understanding falls in progressive supranuclear palsy
10.1016/j.parkreldis.2016.12.009 · ExternalCitation · doi-reference
Can AI make people happy? The effect of AI-based chatbot on smile and speech in Parkinson's disease
10.1016/j.parkreldis.2022.04.018 · ExternalCitation · doi-reference
The effect of subjective postural vertical on forward flexed posture in Parkinson's disease
10.1016/j.parkreldis.2024.107102 · ExternalCitation · doi-reference
Five-year risk of cardiovascular events and falling in Parkinson's disease with orthostatic hypotension: A nationwide cohort study
10.1016/j.parkreldis.2026.108217 · ExternalCitation · doi-reference
Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study
10.1016/s0140-6736(12)61263-x · ExternalCitation · doi-reference
Parkinson's disease
10.1016/s0140-6736(14)61393-3 · ExternalCitation · doi-reference
Parkinson's disease
10.1016/s0140-6736(21)00218-x · ExternalCitation · doi-reference
Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson's disease in Japan
10.1038/s41598-023-29382-6 · ExternalCitation · doi-reference
Longitudinal falls data in Parkinson's disease: feasibility of fall diaries and effect of attrition
10.1080/09638288.2017.1329357 · ExternalCitation · doi-reference
Extrinsic and behavioral fall risk factors in people with Parkinson's disease: an integrative review
10.1097/rnj.0000000000000265 · ExternalCitation · doi-reference
Fall Prediction in People with Parkinson's Disease
10.1109/embc48229.2022.9872013 · ExternalCitation · doi-reference
Wearable accelerometer in clinical use
10.1109/iembs.2005.1616160 · ExternalCitation · doi-reference
A reliable fall detection system based on analyzing the physical activities of older adults living in long-term care facilities
10.1109/tnsre.2021.3133616 · ExternalCitation · doi-reference
Inertial-based gait metrics during turning improve the detection of early-stage Parkinson's disease patients
10.1109/tnsre.2023.3237903 · ExternalCitation · doi-reference
Fall risk and its Management in Parkinson's disease
10.11477/mf.188160960780010021 · ExternalCitation · doi-reference
Using clinical scales and digital measures to explore falls in patients with Lewy body dementia
10.1159/000529623 · ExternalCitation · doi-reference
A coefficient of agreement for nominal scales
10.1177/001316446002000104 · ExternalCitation · doi-reference
Longitudinal assessment of falls in patients with Parkinson's disease using inertial sensors and the timed up and go test
10.1177/2055668317750811 · ExternalCitation · doi-reference
Practice parameter: assessing patients in a neurology practice for risk of falls (an evidence-based review): report of the quality standards Subcommittee of the American Academy of neurology
10.1212/01.wnl.0000299085.18976.20 · ExternalCitation · doi-reference
Criteria for the diagnosis of corticobasal degeneration
10.1212/wnl.0b013e31827f0fd1 · ExternalCitation · doi-reference
An algorithm (decision tree) for the management of Parkinson's disease (2001): treatment guidelines
10.1212/wnl.56.suppl_5.s1 · ExternalCitation · doi-reference
Prevention of falls in Parkinson's disease: a review of fall risk factors and the role of physical interventions
10.2217/nmt.14.22 · ExternalCitation · doi-reference
Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson's disease: a systematic review
10.3389/fnagi.2023.1119956 · ExternalCitation · doi-reference
A proof of concept: digital diary using 24-hour monitoring using wearable device for patients with Parkinson's disease in nursing homes
10.3389/fneur.2024.1356042 · ExternalCitation · doi-reference
Quantification of rehabilitation for patients with Parkinson's disease and related disorders using wearable devices; a proof of concept
10.3389/fneur.2025.1609823 · ExternalCitation · doi-reference
Proceedings of the ninth annual deep brain stimulation think tank: advances in cutting edge technologies, artificial intelligence, neuromodulation, Neuroethics, pain, interventional psychiatry, epilepsy, and traumatic brain injury
10.3389/fnhum.2022.813387 · ExternalCitation · doi-reference
Smartphone-based evaluation of postural stability in Parkinson’s disease patients during quiet stance
10.3390/electronics9060919 · ExternalCitation · doi-reference
High-specificity digital architecture for real-time recognition of loss of balance inducing fall
10.3390/s20030769 · ExternalCitation · doi-reference
Accelerometer-based fall detection using machine learning: training and testing on real-world falls
10.3390/s20226479 · ExternalCitation · doi-reference
Support vector machine classifiers show high generalizability in automatic fall detection in older adults
10.3390/s21217166 · ExternalCitation · doi-reference
Predicting fall counts using wearable sensors: a novel digital biomarker for Parkinson's disease
10.3390/s22010054 · ExternalCitation · doi-reference
Robust 3D skeletal joint fall detection in occluded and rotated views using data augmentation and inference-time aggregation
10.3390/s25216783 · ExternalCitation · doi-reference
Efficient fall detection from wrist-worn IMU signals via knowledge distillation: a lightweight CNN approach using the UMAFall dataset
10.3390/s26113328 · ExternalCitation · doi-reference
Preliminary examination of the accuracy of a fall detection device embedded into hearing instruments
10.3766/jaaa.19056 · ExternalCitation · doi-reference
