Add to ORKGIn order to enhance the people’s quality of life with mobility problems like Parkinson’s disease or stroke patients is crucial to monitor and assess their daily life activities by characterizing basic movements like postural transitions, which is the main goal of this work. This paper presents a novel postural transition detection algorithm which is able to detect and identify Sit to Stand and Stand to Sit transitions with a Sensitivity of 88.2% and specificity of 98.6% by using a single sensor located at the user’s waist. The algorithm has been tested into 31 healthy volunteers and an overall amount of 545 transitions. The proposed algorithm can be implemented easily in real-time system for on-line monitoring applications.Peer Reviewe
Abstract Background Wearable sensors have the potential to provide clinicians with access to motor p...
In this paper we introduce a new kinematic sensor to evaluate the ability to rise from a chair by me...
The identification of postural transitions and walking patterns are important in the recognition of ...
In order to enhance the people’s quality of life with mobility problems like Parkinson’s disease or ...
Analysis of human movement is an important research area, specially for health applications. In orde...
This study proposes a new robust classifier for sit-to-stand (SiSt) and stand-to-sit (StSt) detectio...
Sit-to-stand and Stand-to-sit transfers (STS) provide relevant information regarding the functional ...
Assistance during sit-to-stand (SiSt) transitions for frail elderly may be provided by powered ortho...
Mobility health is an important aspect of the overall health status of a person. Many tests exist th...
Background: Motion sensors offer the possibility to obtain spatiotemporal measures of mobility-relat...
Abstract—This work was conducted in TIMC laboratory to develop methods able to monitor physical acti...
Patients with impaired walking function are often dependent on assistive devices to retrain gait and...
Sit-to-stand transitions are an important part of activities of daily living and play a key role in ...
The identification of chair rise phases is a prerequisite for quantifying sit-to-stand movements. Th...
Distinguishing sedentary from dynamic behavior is essential in addressing disease conditions that ar...
Abstract Background Wearable sensors have the potential to provide clinicians with access to motor p...
In this paper we introduce a new kinematic sensor to evaluate the ability to rise from a chair by me...
The identification of postural transitions and walking patterns are important in the recognition of ...
In order to enhance the people’s quality of life with mobility problems like Parkinson’s disease or ...
Analysis of human movement is an important research area, specially for health applications. In orde...
This study proposes a new robust classifier for sit-to-stand (SiSt) and stand-to-sit (StSt) detectio...
Sit-to-stand and Stand-to-sit transfers (STS) provide relevant information regarding the functional ...
Assistance during sit-to-stand (SiSt) transitions for frail elderly may be provided by powered ortho...
Mobility health is an important aspect of the overall health status of a person. Many tests exist th...
Background: Motion sensors offer the possibility to obtain spatiotemporal measures of mobility-relat...
Abstract—This work was conducted in TIMC laboratory to develop methods able to monitor physical acti...
Patients with impaired walking function are often dependent on assistive devices to retrain gait and...
Sit-to-stand transitions are an important part of activities of daily living and play a key role in ...
The identification of chair rise phases is a prerequisite for quantifying sit-to-stand movements. Th...
Distinguishing sedentary from dynamic behavior is essential in addressing disease conditions that ar...
Abstract Background Wearable sensors have the potential to provide clinicians with access to motor p...
In this paper we introduce a new kinematic sensor to evaluate the ability to rise from a chair by me...
The identification of postural transitions and walking patterns are important in the recognition of ...