Smart Rehabilitation Garment for posture monitoring

Wang, Q.; Chen, W.; Timmermans, Annick; Karachristos, Christoforos; Martens, Jean-Bernard; Markopoulos, Panos

doi:10.1109/embc.2015.7319695

Cited by 60 publications

(54 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…)[4, 40, 44, 48, 50, 60, 63–65, 72, 75, 77, 79]3D model of limb or human body or structure[37, 41, 43, 46, 53, 56, 68–70]Game[42, 45, 59, 62, 66, 67]HapticVibrotactile display[51, 52, 57, 61]AuditoryMusical pattern[78]Multi-modal[3, 38, 39, 47, 49, 54, 55, 58, 71, 73, 74, 76] …”

Section: Resultsmentioning

confidence: 99%

“…Our results show that virtual reality has been commonly used within the included studies (three studies [37–39] in 2010, two [45, 46] in 2011, one [56] in 2013, three [62, 67, 68] in 2014 and one [69] in 2015). Further to using a computer screen as a visual feedback display, the emergence of smartphones is reflected on the number of the systems providing feedback on smartphones: 0 in 2010–2012, two [54, 58] in 2013, five [59, 60, 63, 64, 66] in 2014, four [70, 72–74] in 2015 and two [76, 77] in 2016.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Interactive wearable systems for upper body rehabilitation: a systematic review

Wang

Markopoulos

et al. 2017

J NeuroEngineering Rehabil

288

205

View full text Add to dashboard Cite

BackgroundThe development of interactive rehabilitation technologies which rely on wearable-sensing for upper body rehabilitation is attracting increasing research interest. This paper reviews related research with the aim: 1) To inventory and classify interactive wearable systems for movement and posture monitoring during upper body rehabilitation, regarding the sensing technology, system measurements and feedback conditions; 2) To gauge the wearability of the wearable systems; 3) To inventory the availability of clinical evidence supporting the effectiveness of related technologies.MethodA systematic literature search was conducted in the following search engines: PubMed, ACM, Scopus and IEEE (January 2010–April 2016).ResultsForty-five papers were included and discussed in a new cuboid taxonomy which consists of 3 dimensions: sensing technology, feedback modalities and system measurements. Wearable sensor systems were developed for persons in: 1) Neuro-rehabilitation: stroke (n = 21), spinal cord injury (n = 1), cerebral palsy (n = 2), Alzheimer (n = 1); 2) Musculoskeletal impairment: ligament rehabilitation (n = 1), arthritis (n = 1), frozen shoulder (n = 1), bones trauma (n = 1); 3) Others: chronic pulmonary obstructive disease (n = 1), chronic pain rehabilitation (n = 1) and other general rehabilitation (n = 14). Accelerometers and inertial measurement units (IMU) are the most frequently used technologies (84% of the papers). They are mostly used in multiple sensor configurations to measure upper limb kinematics and/or trunk posture. Sensors are placed mostly on the trunk, upper arm, the forearm, the wrist, and the finger. Typically sensors are attachable rather than embedded in wearable devices and garments; although studies that embed and integrate sensors are increasing in the last 4 years. 16 studies applied knowledge of result (KR) feedback, 14 studies applied knowledge of performance (KP) feedback and 15 studies applied both in various modalities. 16 studies have conducted their evaluation with patients and reported usability tests, while only three of them conducted clinical trials including one randomized clinical trial.ConclusionsThis review has shown that wearable systems are used mostly for the monitoring and provision of feedback on posture and upper extremity movements in stroke rehabilitation. The results indicated that accelerometers and IMUs are the most frequently used sensors, in most cases attached to the body through ad hoc contraptions for the purpose of improving range of motion and movement performance during upper body rehabilitation. Systems featuring sensors embedded in wearable appliances or garments are only beginning to emerge. Similarly, clinical evaluations are scarce and are further needed to provide evidence on effectiveness and pave the path towards implementation in clinical settings.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Interactive wearable systems for upper body rehabilitation: a systematic review

Wang

Markopoulos

et al. 2017

J NeuroEngineering Rehabil

288

205

View full text Add to dashboard Cite

show abstract

“…E-Ambulance is a remote monitoring system of patients while they are being transported to a hospital in an ambulance with the ability to monitor vital signs. A Smart Rehabilitation Garment (SRG) has been developed in Wang et al (2015a) for posture correction. A low-power architecture for wireless on-body sensor network is presented in Magno et al (2013).…”

Section: Other Related Applicationsmentioning

confidence: 99%

Remote patient monitoring: a comprehensive study

Malasinghe

Ramzan

Dahal

2017

J Ambient Intell Human Comput

384

180

View full text Add to dashboard Cite

“…Since these systems contain multiple nodes, they can measure different physical activities based on the movements of different body parts. For example, Zishi is a garment-based sensing system for trunk posture monitoring [54]. The garment is integrated with accelerometers and gyroscopes which make it capable of detect static and dynamic trunk movements with high accuracy (<1.5 degree).…”

Section: Multiple Sensory System (Garment Integrated Sensor System)mentioning

confidence: 99%

Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements

Zhang

Haghighi

Burstein

et al. 2020

Sensors

View full text Add to dashboard Cite

Background: A nanomaterial-based electronic-skin (E-Skin) wearable sensor has been successfully used for detecting and measuring body movements such as finger movement and foot pressure. The ultrathin and highly sensitive characteristics of E-Skin sensor make it a suitable alternative for continuously out-of-hospital lumbar–pelvic movement (LPM) monitoring. Monitoring these movements can help medical experts better understand individuals’ low back pain experience. However, there is a lack of prior studies in this research area. Therefore, this paper explores the potential of E-Skin sensors to detect and measure the anatomical angles of lumbar–pelvic movements by building a linear relationship model to compare its performance to clinically validated inertial measurement unit (IMU)-based sensing system (ViMove). Methods: The paper first presents a review and classification of existing wireless sensing technologies for monitoring of body movements, and then it describes a series of experiments performed with E-Skin sensors for detecting five standard LPMs including flexion, extension, pelvic tilt, lateral flexion, and rotation, and measure their anatomical angles. The outputs of both E-Skin and ViMove sensors were recorded during each experiment and further analysed to build the comparative models to evaluate the performance of detecting and measuring LPMs. Results: E-Skin sensor outputs showed a persistently repeating pattern for each movement. Due to the ability to sense minor skin deformation by E-skin sensor, its reaction time in detecting lumbar–pelvic movement is quicker than ViMove by ~1 s. Conclusions: E-Skin sensors offer new capabilities for detecting and measuring lumbar–pelvic movements. They have lower cost compared to commercially available IMU-based systems and their non-invasive highly stretchable characteristic makes them more comfortable for long-term use. These features make them a suitable sensing technology for developing continuous, out-of-hospital real-time monitoring and management systems for individuals with low back pain.

show abstract

Smart Rehabilitation Garment for posture monitoring

Cited by 60 publications

References 13 publications

Interactive wearable systems for upper body rehabilitation: a systematic review

Interactive wearable systems for upper body rehabilitation: a systematic review

Remote patient monitoring: a comprehensive study

Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements

Contact Info

Product

Resources

About