User profiles for Joan Cabestany
![]() | Joan CabestanyVerified email at upc.edu Cited by 3692 |
[HTML][HTML] Fifteen years of wireless sensors for balance assessment in neurological disorders
…, C Pérez-López, F Camerota, L Leocani, J Cabestany… - Sensors, 2020 - mdpi.com
Balance impairment is a major mechanism behind falling along with environmental hazards.
Under physiological conditions, ageing leads to a progressive decline in balance control …
Under physiological conditions, ageing leads to a progressive decline in balance control …
A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM
D Rodríguez-Martín, J Cabestany… - Frontiers in …, 2022 - frontiersin.org
In the past decade, the use of wearable medical devices has been a great breakthrough in
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …
Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit
…, C Pérez-López, JMM Arostegui, J Cabestany… - Knowledge-Based …, 2018 - Elsevier
Among Parkinson’s disease (PD) motor symptoms, freezing of gait (FOG) may be the most
incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate …
incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate …
Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer
…, A Català, JM Moreno Arostegui, J Cabestany… - PloS one, 2017 - journals.plos.org
Among Parkinson’s disease (PD) symptoms, freezing of gait (FoG) is one of the most
debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over …
debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over …
Detecting freezing of gait with a tri-axial accelerometer in Parkinson's disease patients
Freezing of gait (FOG) is a common motor symptom of Parkinson’s disease (PD), which
presents itself as an inability to initiate or continue gait. This paper presents a method to monitor …
presents itself as an inability to initiate or continue gait. This paper presents a method to monitor …
Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor
…, A Català, JM Moreno-Aróstegui, J Cabestany… - Computers in biology …, 2017 - Elsevier
Bradykinesia is a cardinal symptom of Parkinson's disease (PD) and describes the
slowness of movement revealed in patients. Current PD therapies are based on dopamine …
slowness of movement revealed in patients. Current PD therapies are based on dopamine …
Dyskinesia and motor state detection in Parkinson's disease patients with a single movement sensor
…, A Catala, J Cabestany… - … Conference of the …, 2012 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neurodegenerative disease that alters the patients' motor
performance. Patients suffer many motor symptoms: bradykinesia, dyskinesia and freezing of gait…
performance. Patients suffer many motor symptoms: bradykinesia, dyskinesia and freezing of gait…
[HTML][HTML] A wearable inertial measurement unit for long-term monitoring in the dependency care area
…, C Pérez-López, A Samà, J Cabestany… - Sensors, 2013 - mdpi.com
Human movement analysis is a field of wide interest since it enables the assessment of a
large variety of variables related to quality of life. Human movement can be accurately …
large variety of variables related to quality of life. Human movement can be accurately …
SVM-based posture identification with a single waist-located triaxial accelerometer
Abstract Analysis of human body movement is an important research area, specially for
health applications. In order to assess the quality of life of people with mobility problems like …
health applications. In order to assess the quality of life of people with mobility problems like …
Oriented principal component analysis for large margin classifiers
S Bermejo, J Cabestany - Neural Networks, 2001 - Elsevier
Large margin classifiers (such as MLPs) are designed to assign training samples with high
confidence (or margin) to one of the classes. Recent theoretical results of these systems …
confidence (or margin) to one of the classes. Recent theoretical results of these systems …