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Literature DB >> 18947150

The importance of measuring human gait.

Abstract

Clinical research has identified clear links between human gait characteristics and different medical conditions. However, there have been no sensor systems available to provide a reliable and quantifiable method of monitoring these parameters in a normal environment. The different technologies that can now be applied to a variety of medical applications are discussed.

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Year: 2008 PMID： 18947150

Source DB: PubMed Journal: Med Device Technol ISSN： 1048-6690

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Cited

8 in total

1. Performance Evaluation of Jaipur Knee Joint through Kinematics and Kinetics Gait Symmetry with Unilateral Transfemoral Indian Amputees.

Authors: Pawan Mishra; Sachin Singh; Vinayak Ranjan; Sonu Singh; Ankit Vidyarthi
Journal: J Med Syst Date: 2019-01-29 Impact factor: 4.460

2. Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment.

Authors: Marjorie Skubic; Rainer Dane Guevara; Marilyn Rantz
Journal: IEEE J Transl Eng Health Med Date: 2015-04-10 Impact factor: 3.316

3. The Implication of Pathway Turn and Task Condition on Gait Quantified Using SmartWalk: Changes With Age and Parkinson's Disease With Relevance to Postural Strategy and Risk of Fall.

Authors: Priya Pallavi; Neeti Jariwala; Niravkumar Patel; Manasi Kanetkar; Shraddha Diwan; Uttama Lahiri
Journal: Front Neurosci Date: 2022-04-29 Impact factor: 5.152

4. 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

The importance of measuring human gait.

1. Performance Evaluation of Jaipur Knee Joint through Kinematics and Kinetics Gait Symmetry with Unilateral Transfemoral Indian Amputees.

2. Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment.

3. The Implication of Pathway Turn and Task Condition on Gait Quantified Using SmartWalk: Changes With Age and Parkinson's Disease With Relevance to Postural Strategy and Risk of Fall.

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

5. Toward a passive low-cost in-home gait assessment system for older adults.

6. Detection of Human Gait Phases Using Textile Pressure Sensors: A Low Cost and Pervasive Approach.

7. Weight-Bearing Estimation for Cane Users by Using Onboard Sensors.

8. Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics.