StraightenUp: Implementation and Evaluation of a Spine Posture Wearable

Cajamarca, Gabriela; Rodríguez, Iyubanit; Herskovic, Valeria; Campos, Mauricio

doi:10.1007/978-3-319-67585-5_64

Cited by 3 publications

(4 citation statements)

References 22 publications

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“… Fathi et al, 2017 [ 34 ] Shimmer IMU 1: cervical spine 2: thoracic spine 3: lower lumbar spine Reported accuracy rate of 100% across pre-defined stages of ankylosing spondylitis Reported real-time feedback but mechanism of the same not detailed Proposal of wearable system able to detect spinal displacement and provide real-time warnings System classification performance validated in differentiating between two incorrect postures (hunch back, slouch back) Selection bias: Only evaluated in four subjects, no information regarding their health or tasks performed was provided Abyarjoo et al, 2015 [ 14 ] PostureMonitor: YEI 3-Space IMU Sensor Attached to upper back of the user’s garment Real-time auditory alarm Verification of the PostureMonitor for the detection of poor posture and development of good postural habits PostureMonitor reported sensitive as to detect and warn of poor posture. Outcome limitation: further testing required for validation, long-term testing required to assess the impact on the development of good postural habits Cajamarca et al, 2017 [ 5 ] StraightenUp: LilyPad Accelerometer ADXL335 Sensors attached to a brace: 1: upper trunk 2: central trunk 3: lower trunk Precision rate across different pre-defined positions ranged from 99 to 100% ( n = 9000) No real-time feedback Verification of StraightenUp for measurement of spinal posture and assessment of user experience ( n = 30, 9000 encounters) Preliminary verification of postural classification; reported to be comfortable but difficult to apply; user preference for vibrotactile or smartphone notification for poor posture alerts Outcome limitation: Further testing required for validation; device requires adaptation to become more user friendly Not tests in real life setting Valdivia et al, 2017 [ 39 ] IMU MPU-9250 sensor Sensor strapped to elastic band worn at the waist Real-time feedback via exergame Comparison of IMU sensor with Microsoft Kinect V2 for the use in a proposed exergame aimed at improving spinal posture IMU more accurately but less reliably measures range of motion of the spine in comparison with the Microsoft Kinect V2; IMU exergame less engaging Selection bias: Comparison of IMU and Microsoft Kinect between different subjects in an already low sample size Wang et al, 2016 [ 26 ] Zishi: 9-axis Adafruit IMU sensor Two sensors within a vest: 1: T1 2: T5 Root mean square error range 2–5 degrees ...…”

Section: Resultsmentioning

confidence: 99%

“…There is a need for real-time postural monitoring and correction as sustained poor spinal posture is associated with the development and worsening of many musculoskeletal disorders [ 4 , 5 ]. Poor spinal posture, as defined by Hansraj et al [ 6 ], relates to the relative position whereby the head and upper trunk is in a forwards-flexed position.…”

Section: Introductionmentioning

confidence: 99%

“…Such traditional methods have been criticised as costly and impractical with a key inability to measure day-to-day posture and provide timely feedback. The gold standard for analysing spinal posture remains radiographical assessment, however the associated cost and irradiation limits frequent repeated use [ 5 ]. Other lab-based modalities include: goniometers, photogrammetric systems and optoelectric systems may be utilised but have failed to integrate into routine medical practice.…”

Section: Introductionmentioning

confidence: 99%

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The role of wearables in spinal posture analysis: a systematic review

Simpson

Maharaj²,

Mobbs

2019

BMC Musculoskelet Disord

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BackgroundWearables consist of numerous technologies that are worn on the body and measure parameters such as step count, distance travelled, heart rate and sleep quantity. Recently, various wearable systems have been designed capable of detecting spinal posture and providing live biofeedback when poor posture is sustained. It is hypothesised that long-term use of these wearables may improve spinal posture.Research questionsTo (1) examine the capabilities of current devices assessing spine posture, (2) to identify studies implementing such devices in the clinical setting and (3) comment on the clinical practicality of integration of such devices into routine care where appropriate.MethodsA comprehensive systematic review was conducted in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA) across the following databases: PubMed; MEDLINE; EMBASE; Cochrane; and Scopus. Articles related to wearables systems able to measure spinal posture were selected amongst all published studies dated from 1980 onwards. Extracted data was collected as per a predetermined checklist including device types, study objectives, findings and limitations.ResultsA total of 37 articles were extensively reviewed and analysed in the final review. The proposed wearables most commonly used Inertial Measurement Units (IMUs) as the underlying technology. Wearables measuring spinal posture have been proposed to be used in the following settings: post-operative rehabilitation; treatment of musculoskeletal disorders; diagnosis of pathological spinal posture; monitoring of progression of Parkinson’s Disease; detection of falls; workplace occupational health and safety; comparison of interventions.ConclusionsThis is the first and only study to specifically review wearable devices that monitor spinal posture. Our findings suggest that currently available devices are capable of assessing spinal posture with good accuracy in the clinical setting. However, further validation regarding the long-term use of these technologies and improvements regarding practicality is required for commercialisation.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The role of wearables in spinal posture analysis: a systematic review

Simpson

Maharaj²,

Mobbs

2019

BMC Musculoskelet Disord

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“…They also disliked the size of the box on the side of the device. A complete description of the device and experiment may be found in [ 46 ].…”

Section: Straightenup+: a Wearable Device To Monitor Posture For Omentioning

confidence: 99%

StraightenUp+: Monitoring of Posture during Daily Activities for Older Persons Using Wearable Sensors

Cajamarca

Rodríguez

Herskovic

et al. 2018

Sensors

Self Cite

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Monitoring the posture of older persons using portable sensors while they carry out daily activities can facilitate the process of generating indicators with which to evaluate their health and quality of life. The majority of current research into such sensors focuses primarily on their functionality and accuracy, and minimal effort is dedicated to understanding the experience of older persons who interact with the devices. This study proposes a wearable device to identify the bodily postures of older persons, while also looking into the perceptions of the users. For the purposes of this study, thirty independent and semi-independent older persons undertook eight different types of physical activity, including: walking, raising arms, lowering arms, leaning forward, sitting, sitting upright, transitioning from standing to sitting, and transitioning from sitting to standing. The data was classified offline, achieving an accuracy of 93.5%, while overall device user perception was positive. Participants rated the usability of the device, in addition to their overall user experience, highly.

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Exploring the Landscape of UX Subjective Evaluation Tools and UX Dimensions: A Systematic Literature Review (2010–2021)

Mortazavi,

Doyon-Poulin,

Imbeau

et al. 2024

Interacting With Computers

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The quality of the User Experience (UX) with systems, products and services is now considered an indispensable part of success in the market. Users' expectations have increased in such a way that mere usability is no longer sufficient. While numerous UX subjective evaluation tools exist, there is little guidance on how to select or use these tools. Therefore, there is a need to provide a critical state of the art on the topic of subjective evaluation tools and the UX dimensions covered. In this study, we conducted a systematic literature review on UX subjective evaluation tools and the UX dimensions covering the period of 2010–2021 with an initial sample of 3831 publications, 325 of which were selected for the final analysis, to provide researchers and practitioners with the recent changes in the field of UX. Results showed that 104 different tools are available for UX evaluation, they can be classified as general or domain-specific, applicable for a wide variety of products and in total covering more than 300 UX dimensions. Our categorization of UX dimensions under 13 main dimensions (e.g. usability, utility, hedonic, emotion, sensory, etc.) showed that the informational, social, cognitive and physical dimensions appeared to be less frequently present in current tools. We argue that these four dimensions deserve more space in UX tools. Having a high number of UX evaluation tools can be confusing for evaluators, and they need some guidance for selecting and combining tools. Modularity is the emerging trend in the development of UX evaluation questionnaires (e.g. meCUE, UEQ+), bringing the benefits of being thorough, flexible, easy to use, low-cost and rapid, while avoiding overlapping of dimensions and providing comparability through the use of a similar format and rating scale. Finally, the need for having a comprehensive evaluation tool requires updating the set of included dimensions to accommodate for new generations of products and technologies.

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StraightenUp: Implementation and Evaluation of a Spine Posture Wearable

Cited by 3 publications

References 22 publications

The role of wearables in spinal posture analysis: a systematic review

The role of wearables in spinal posture analysis: a systematic review

StraightenUp+: Monitoring of Posture during Daily Activities for Older Persons Using Wearable Sensors

Exploring the Landscape of UX Subjective Evaluation Tools and UX Dimensions: A Systematic Literature Review (2010–2021)

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