TY - GEN
T1 - Technological Architecture with Low Cost Sensors to Improve Physical Therapy Monitoring
AU - Zambrano, Ericsson Ocas
AU - Munoz, Kemeli Reyes
AU - Armas-Aguirre, Jimmy
AU - Gonzalez, Paola A.
N1 - Publisher Copyright:
© 2020 AISTI.
PY - 2020/6
Y1 - 2020/6
N2 - In this article, we propose a wireless monitoring solution for gait parameters using low-cost sensors in the physical rehabilitation of patients with gait disorders. This solution consists of infrared speed sensors (IRSS), force-sensing Resistor (FSR) and microcontrollers placed in a walker. These sensors collect the pressure distribution on the walker's handle and the speed of the steps during therapy session. The proposal allows to improve the traditional physiotherapy session times through a mobile application to perform the monitoring controlled by a health specialist in real time. The proposed solution consists of 4 stages: 1. Obtaining gear parameters, 2. Data transmission, 3. Information Storage and 4. Data collection and processing. Solution was tested with 10 patients from a physical rehabilitation center in Lima, Peru. Preliminary results revealed a significant reduction in the rehabilitation session from 25 to 5.2 minutes.
AB - In this article, we propose a wireless monitoring solution for gait parameters using low-cost sensors in the physical rehabilitation of patients with gait disorders. This solution consists of infrared speed sensors (IRSS), force-sensing Resistor (FSR) and microcontrollers placed in a walker. These sensors collect the pressure distribution on the walker's handle and the speed of the steps during therapy session. The proposal allows to improve the traditional physiotherapy session times through a mobile application to perform the monitoring controlled by a health specialist in real time. The proposed solution consists of 4 stages: 1. Obtaining gear parameters, 2. Data transmission, 3. Information Storage and 4. Data collection and processing. Solution was tested with 10 patients from a physical rehabilitation center in Lima, Peru. Preliminary results revealed a significant reduction in the rehabilitation session from 25 to 5.2 minutes.
KW - Cloud Technology
KW - Heart Rate
KW - Mobile Health Application
KW - Technology
KW - Wearable
UR - https://www.scopus.com/pages/publications/85089034957
U2 - 10.23919/CISTI49556.2020.9140873
DO - 10.23919/CISTI49556.2020.9140873
M3 - Contribución a la conferencia
AN - SCOPUS:85089034957
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of CISTI 2020 - 15th Iberian Conference on Information Systems and Technologies
A2 - Rocha, Alvaro
A2 - Perez, Bernabe Escobar
A2 - Penalvo, Francisco Garcia
A2 - del Mar Miras, Maria
A2 - Goncalves, Ramiro
PB - IEEE Computer Society
T2 - 15th Iberian Conference on Information Systems and Technologies, CISTI 2020
Y2 - 24 June 2020 through 27 June 2020
ER -