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Literature DB >> 32059810

Wearable-based mobility monitoring: the long road ahead.

Alfonso Fasano¹, Martina Mancini².

Abstract

Mesh：

Year: 2020 PMID： 32059810 DOI： 10.1016/S1474-4422(20)30033-8

Source DB: PubMed Journal: Lancet Neurol ISSN： 1474-4422 Impact factor: 44.182

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Cited

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7 in total

1. Are smartphones and machine learning enough to diagnose tremor?

Authors: Arjun Balachandar; Musleh Algarni; Lais Oliveira; Luca Marsili; Aristide Merola; Andrea Sturchio; Alberto J Espay; William D Hutchison; Aniruddh Balasubramaniam; Frank Rudzicz; Alfonso Fasano
Journal: J Neurol Date: 2022-07-21 Impact factor: 6.682

2. A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.

Authors: Robbin Romijnders; Elke Warmerdam; Clint Hansen; Gerhard Schmidt; Walter Maetzler
Journal: Sensors (Basel) Date: 2022-05-19 Impact factor: 3.847

3. Consumer-Grade Wearable Device for Predicting Frailty in Canadian Home Care Service Clients: Prospective Observational Proof-of-Concept Study.

Authors: Ben Kim; Sandra M McKay; Joon Lee
Journal: J Med Internet Res Date: 2020-09-03 Impact factor: 5.428

7. Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study.

Authors: Ben Kim; Miranda Hunt; John Muscedere; David M Maslove; Joon Lee
Journal: JMIR Aging Date: 2021-02-23

7 in total

Wearable-based mobility monitoring: the long road ahead.

1. Are smartphones and machine learning enough to diagnose tremor?

2. A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.

3. Consumer-Grade Wearable Device for Predicting Frailty in Canadian Home Care Service Clients: Prospective Observational Proof-of-Concept Study.

Review 4. Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Review 5. Methodological Considerations for Setting Up Deep Brain Stimulation Studies for New Indications.

6. Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson's Disease Using a Wrist-Worn Accelerometer.

7. Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study.