Parkinson's Disease Assessment Based on Gait Analysis Using an Innovative RGB-D Camera System

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Ana Patricia Rocha (Author) Other; Hugo Choupina (Author) Other; Jose Maria Fernandes (Author) Other; Rui Vaz (Author) Other; Joao Paulo S Silva Cunha (Author) Other; Lúcia Rosas (Author) FLUP

Conference proceedings International

Title: 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Pages: 3126-3129

36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

Chicago, IL, AUG 26-30, 2014

Indexing

ISI Web of Knowledge - 36 Citations

Scopus - 43 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-00A-AQ8

DOI: 10.1109/embc.2014.6944285

Abstract (EN): Movement-related diseases, such as Parkinson's disease (PD), progressively affect the motor function, many times leading to severe motor impairment and dramatic loss of the patients' quality of life. Human motion analysis techniques can be very useful to support clinical assessment of this type of diseases. In this contribution, we present a RGB-D camera (Microsoft Kinect) system and its evaluation for PD assessment. Based on skeleton data extracted from the gait of three PD patients treated with deep brain stimulation and three control subjects, several gait parameters were computed and analyzed, with the aim of discriminating between non-PD and PD subjects, as well as between two PD states (stimulator ON and OFF). We verified that among the several quantitative gait parameters, the variance of the center shoulder velocity presented the highest discriminative power to distinguish between non-PD, PD ON and PD OFF states (p = 0.004). Furthermore, we have shown that our low-cost portable system can be easily mounted in any hospital environment for evaluating patients' gait. These results demonstrate the potential of using a RGB-D camera as a PD assessment tool.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4