TY - GEN
T1 - Smart Glasses for Gait Analysis of Parkinson's Disease Patients
AU - Kiprijanovska, Ivana
AU - Panchevski, Filip
AU - Stankoski, Simon
AU - Gjoreski, Martin
AU - Archer, James
AU - Broulidakis, John
AU - Mavridou, Ifigeneia
AU - Hayes, Bradley
AU - Guerreiro, Tiago
AU - Nduka, Charles
AU - Gjoreski, Hristijan
N1 - Publisher Copyright:
© 2023 MIPRO Croatian Society.
PY - 2023
Y1 - 2023
N2 - Parkinson's disease (PD) is one of the most common neurodegenerative disorders of the central nervous system, which predominantly affects patients' motor functions, movement, and stability. Monitoring movement in patients with PD is crucial for inferring motor state fluctuations throughout daily life activities, which aids in disease progression analysis and assessing how patients respond to medications over time. In this preliminary study, we examine the possibility of using smart glasses equipped with Inertial Measurement Unit (IMU) sensors for providing objective information on the motor state of PD patients. Data was collected from seven patients with PD with varying levels of symptom severity, who performed a total of 35 trails of the Timed-Up-and-Go (TUG) test while wearing the glasses. We present an IMU-based step-detection algorithm with a potential for continuous monitoring of patients' gait. Furthermore, the analyses reveal patient-specific clusters in the sensor data, suggesting the possibility of developing personalized models for monitoring symptom progression. The findings suggest that smart glasses have the potential for unobtrusive and continuous screening of PD patients' gait, enhancing the medical assessment and treatment.
AB - Parkinson's disease (PD) is one of the most common neurodegenerative disorders of the central nervous system, which predominantly affects patients' motor functions, movement, and stability. Monitoring movement in patients with PD is crucial for inferring motor state fluctuations throughout daily life activities, which aids in disease progression analysis and assessing how patients respond to medications over time. In this preliminary study, we examine the possibility of using smart glasses equipped with Inertial Measurement Unit (IMU) sensors for providing objective information on the motor state of PD patients. Data was collected from seven patients with PD with varying levels of symptom severity, who performed a total of 35 trails of the Timed-Up-and-Go (TUG) test while wearing the glasses. We present an IMU-based step-detection algorithm with a potential for continuous monitoring of patients' gait. Furthermore, the analyses reveal patient-specific clusters in the sensor data, suggesting the possibility of developing personalized models for monitoring symptom progression. The findings suggest that smart glasses have the potential for unobtrusive and continuous screening of PD patients' gait, enhancing the medical assessment and treatment.
KW - gait analysis
KW - inertial measurement unit
KW - Parkinson's disease
KW - smart glasses
UR - http://www.scopus.com/inward/record.url?scp=85164947840&partnerID=8YFLogxK
U2 - 10.23919/MIPRO57284.2023.10159926
DO - 10.23919/MIPRO57284.2023.10159926
M3 - Conference contribution
AN - SCOPUS:85164947840
T3 - 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings
SP - 385
EP - 390
BT - 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings
A2 - Cisic, Dragan
A2 - Vrcek, Neven
A2 - Koricic, Marko
A2 - Gradisnik, Vera
A2 - Skala, Karolj
A2 - Car, Zeljka
A2 - Cicin-Sain, Marina
A2 - Babic, Snjezana
A2 - Sruk, Vlado
A2 - Skvorc, Dejan
A2 - Jovic, Alan
A2 - Gros, Stjepan
A2 - Vrdoljak, Boris
A2 - Tijan, Edvard
A2 - Katulic, Tihomir
A2 - Petrovic, Juraj
A2 - Grbac, Tihana Galinac
A2 - Bozicevic, Lovro
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 46th ICT and Electronics Convention, MIPRO 2023
Y2 - 22 May 2023 through 26 May 2023
ER -