Fall detection and fall risk assessment in older person using wearable sensors: A systematic review

P Bet, PC Castro, MA Ponti - International journal of medical informatics, 2019 - Elsevier
Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

Review of the upright balance assessment based on the force plate

B Chen, P Liu, F Xiao, Z Liu, Y Wang - International journal of …, 2021 - mdpi.com
Quantitative assessment is crucial for the evaluation of human postural balance. The force
plate system is the key quantitative balance assessment method. The purpose of this study …

Precision medicine and artificial intelligence: a pilot study on deep learning for hypoglycemic events detection based on ECG

M Porumb, S Stranges, A Pescapè, L Pecchia - Scientific reports, 2020 - nature.com
Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial
diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can …

[HTML][HTML] Wearable inertial sensors to measure gait and posture characteristic differences in older adult fallers and non-fallers: A scoping review

M Patel, A Pavic, VA Goodwin - Gait & posture, 2020 - Elsevier
Background Wearable inertial sensors have grown in popularity as a means of objectively
assessing fall risk. This review aimed to identify gait and posture differences among older …

Deep learning for fall risk assessment with inertial sensors: Utilizing domain knowledge in spatio-temporal gait parameters

C Tunca, G Salur, C Ersoy - IEEE journal of biomedical and …, 2019 - ieeexplore.ieee.org
Fall risk assessment is essential to predict and prevent falls in geriatric populations,
especially patients with life-long conditions like neurological disorders. Inertial sensor-based …

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

I Bargiotas, D Wang, J Mantilla, F Quijoux, A Moreau… - Journal of …, 2023 - Springer
Nowadays, it becomes of paramount societal importance to support many frail-prone groups
in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and …

Detecting fall risk and frailty in elders with inertial motion sensors: a survey of significant gait parameters

L Ruiz-Ruiz, AR Jimenez, G Garcia-Villamil, F Seco - Sensors, 2021 - mdpi.com
In the elderly, geriatric problems such as the risk of fall or frailty are a challenge for society.
Patients with frailty present difficulties in walking and higher fall risk. The use of sensors for …

Fall risk assessment using wearable sensors: a narrative review

RN Ferreira, NF Ribeiro, CP Santos - Sensors, 2022 - mdpi.com
Recently, fall risk assessment has been a main focus in fall-related research. Wearable
sensors have been used to increase the objectivity of this assessment, building on the …

Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review

J Bezold, J Krell-Roesch, T Eckert, D Jekauc… - European review of aging …, 2021 - Springer
Background Higher age and cognitive impairment are associated with a higher risk of falling.
Wearable sensor technology may be useful in objectively assessing motor fall risk factors to …

The role of vestibular cues in postural sway

F Karmali, AD Goodworth, Y Valko… - Journal of …, 2021 - journals.physiology.org
Controlling posture requires continuous sensory feedback about body motion and
orientation, including from the vestibular organs. Little is known about the role of tilt vs …