TY - GEN
T1 - Parkinson’s tremor data analysis device
AU - Alanis, Valeria P.
AU - Cantú, Hiram A.
AU - León, Umberto
AU - Melo, Alejandro
AU - Salinas, Julio C.
AU - Velasco, Diego
AU - Lozoya-Santos, Jorge de J.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - This work presents the results of a technical pilot study to assess the feasibility of using accelerometer and gyroscope data to estimate the severity of motor complications in patients with PD. A wearable measuring device for patient’s wrist was developed to estimate the severity of tremor movements on patients. These measurements were possible essentially using an Inertial Measurement Unit MPU-6050 which gives angular velocity and acceleration data of movements. Results derived from the prototype, the IMU specifically, were analyzed to assess the accuracy of the device to prove its utility for the estimation of clinical scores of the duration and frequency of the tremor. The proposed device can potentially track the parkinsonian tremor status throughout real time which includes a subject database to quantify the progression of PD. Drug therapy dosage could be optimized with quantified feedback from the proposed device. Quantitative assessments using wearable technology may allow for continuous, unobtrusive, objective, and ecologically valid data collection. Such measures have the potential to be used as parameters in clinical trials, allowing for frequent assessments. The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.
AB - This work presents the results of a technical pilot study to assess the feasibility of using accelerometer and gyroscope data to estimate the severity of motor complications in patients with PD. A wearable measuring device for patient’s wrist was developed to estimate the severity of tremor movements on patients. These measurements were possible essentially using an Inertial Measurement Unit MPU-6050 which gives angular velocity and acceleration data of movements. Results derived from the prototype, the IMU specifically, were analyzed to assess the accuracy of the device to prove its utility for the estimation of clinical scores of the duration and frequency of the tremor. The proposed device can potentially track the parkinsonian tremor status throughout real time which includes a subject database to quantify the progression of PD. Drug therapy dosage could be optimized with quantified feedback from the proposed device. Quantitative assessments using wearable technology may allow for continuous, unobtrusive, objective, and ecologically valid data collection. Such measures have the potential to be used as parameters in clinical trials, allowing for frequent assessments. The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.
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U2 - 10.1007/978-3-319-73323-4_19
DO - 10.1007/978-3-319-73323-4_19
M3 - Conference contribution
AN - SCOPUS:85044477160
SN - 9783319733227
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 199
EP - 208
BT - Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings
A2 - Lozoya-Santos, Jorge
A2 - Torres Guerrero, Francisco
A2 - Neira-Tovar, Leticia
A2 - Gonzalez Mendivil, Eduardo
A2 - Ramirez Flores, Pablo G.
A2 - Martin-Gutierrez, Jorge
PB - Springer Verlag
T2 - 1st EAI International Conference on Smart Technology, MTYMEX 2017
Y2 - 24 May 2017 through 26 May 2017
ER -