TY - GEN
T1 - Fall Risk Assessment in Older Adults with Diabetic Peripheral Neuropathy
AU - Cárdenas, Jhonathan Sora
AU - Díaz, Martha Zequera
AU - Bocanegra, Francisco Calderón
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Diabetic peripheral neuropathy DPN is the most frequent complication with people with diabetes and affects approximately half of this population. This is reflected in the reduction of the transmission of vibratory sensitivity, proprioceptive and of reflexes osteotendinous, affecting sensory and motor skills. People with DPN are up to 23 times more likely to have falls and 15 times more likely to report an injury compared to healthy older adults. Falls have significant consequences, such as temporary or permanent physical disability, which decreases the quality of life of the elderly and represents an increase in mortality. Therefore, a pilot study is proposed to assess the risk of falls in older adults with DPN by implementing a predictive system based on the clinical information of the AGS/BGS guidelines, the oscillation of the pressure center (CoP) at rest and the Timed up and Go test (TUG) with the use of inertial sensors. A sample of convenience of 19 participants (13 control group and 6 with DPN) older than 45 years, were cited to perform data acquisition, which were used as inputs to evaluate four fall risk classification techniques: K-means, support vector machines, K nearest neighbors and neural networks, obtaining a precision = 90.9%, sensitivity = 80% and specificity = 100%. Therefore, this study suggests that it is possible to evaluate the risk of falls in older adults with DPN through the clinical information of the AGS/BGS guidelines, the oscillation of the CoP at rest and the TUG test with the use of inertial sensors and it also has the potential to be implemented in future studies with larger populations.
AB - Diabetic peripheral neuropathy DPN is the most frequent complication with people with diabetes and affects approximately half of this population. This is reflected in the reduction of the transmission of vibratory sensitivity, proprioceptive and of reflexes osteotendinous, affecting sensory and motor skills. People with DPN are up to 23 times more likely to have falls and 15 times more likely to report an injury compared to healthy older adults. Falls have significant consequences, such as temporary or permanent physical disability, which decreases the quality of life of the elderly and represents an increase in mortality. Therefore, a pilot study is proposed to assess the risk of falls in older adults with DPN by implementing a predictive system based on the clinical information of the AGS/BGS guidelines, the oscillation of the pressure center (CoP) at rest and the Timed up and Go test (TUG) with the use of inertial sensors. A sample of convenience of 19 participants (13 control group and 6 with DPN) older than 45 years, were cited to perform data acquisition, which were used as inputs to evaluate four fall risk classification techniques: K-means, support vector machines, K nearest neighbors and neural networks, obtaining a precision = 90.9%, sensitivity = 80% and specificity = 100%. Therefore, this study suggests that it is possible to evaluate the risk of falls in older adults with DPN through the clinical information of the AGS/BGS guidelines, the oscillation of the CoP at rest and the TUG test with the use of inertial sensors and it also has the potential to be implemented in future studies with larger populations.
KW - Center of pressure
KW - Diabetic peripheral neuropathy
KW - Fall risk assessment
KW - Instrumented timed up and go
KW - Older adults
KW - Pattern recognition
UR - http://www.scopus.com/inward/record.url?scp=85075810994&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30636-6_54
DO - 10.1007/978-3-030-30636-6_54
M3 - Conference contribution
AN - SCOPUS:85075810994
SN - 9783030306359
T3 - IFMBE Proceedings
SP - 396
EP - 404
BT - Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019
A2 - Lin, Kang-Ping
A2 - Magjarevic, Ratko
A2 - de Carvalho, Paulo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Biomedical and Health Informatics, ICBHI 2019
Y2 - 17 April 2019 through 20 April 2019
ER -