Smart control of spinal alignment through active adjustment of mechanical bed properties during sleep

Verhaert, Vincent; Deun, Dorien Van; Verbraecken, Johan; Vandekerckhove, Marie; Exadaktylos, Vasileios; Haex, Bart; Sloten, Jos Vander

doi:10.3233/ais-130216

Cited by 19 publications

(22 citation statements)

References 25 publications

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“…Five of the selected articles employed the same active-control mattress system, Dynasleep (Custom8, Leuven, Belgium) (Deun et al, 2012; Verhaert et al, 2011b, 2012a, 2012b, 2013), which was equipped with indentation sensors and adaptive actuator spring pockets, with each mattress cell containing two pocket springs with different intrinsic stiffness coefficients ( k = 0.2 and 0.076 N/mm) arranged in a parallel way. Real-time adjustment of regional stiffness was facilitated by the vertical displacement of spring pockets according to sensor-supplied data and the pre-set algorithm.…”

Section: Resultsmentioning

confidence: 99%

“…In the work of Esquirol Caussa et al (2017), subjects were instructed to put their feet together, while in the work of Palmero et al (2017), legs were placed slightly apart. For lateral posture, subjects were normally placed with the body perpendicular to the ground surface (Denninger, Martel & Rancourt, 2011; Leilnahari et al, 2011), which was challenging, since people tend to turn their shoulder forward toward the mattress (Verhaert et al, 2013). Additionally, limb placement was subject to some variations.…”

Section: Resultsmentioning

confidence: 99%

“…The use of posture detection and prediction algorithms allowed the conduction of observational studies with uncontrolled sleeping postures. Verhaert et al (2011b) used cluster analysis to categorize the population into two groups according to the time spent in lateral, prone, and supine postures, while Deun et al (2012) and Verhaert et al (2013) identified four main sleeping postures (including left- and right-side lying, prone lying, and supine lying) employing indentation data provided by the active-control bed. The above categorization was achieved using a support vector machine according to the combination of indentation, shoulder-hip ratio, knee-hip ratio, total indentation, lateral asymmetry index, and lower leg indentation data, which has been proven to achieve sleeping posture recognition with >90% accuracy (Verhaert et al, 2011a).…”

Section: Resultsmentioning

confidence: 99%

“…The above categorization was achieved using a support vector machine according to the combination of indentation, shoulder-hip ratio, knee-hip ratio, total indentation, lateral asymmetry index, and lower leg indentation data, which has been proven to achieve sleeping posture recognition with >90% accuracy (Verhaert et al, 2011a). However, this technique was not sufficiently sensitive to detect intermediate postures, which account for 10% of the sleeping time (Verhaert et al, 2013).…”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Sleeping mattress determinants and evaluation: a biomechanical review and critique

Wong

Yan

Lin

et al. 2019

PeerJ

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BackgroundSleeping mattress parameters significantly influence sleeping comfort and health, as reflected by the extensive investigations of sleeping support biomechanics to prevent sleep-related musculoskeletal problems.MethodologyHerein, we review the current trends, research methodologies, and determinants of mattress biomechanics research, summarizing evidence published since 2008. In particular, we scrutinize 18 articles dealing with the development of new designs, recommendation criteria, instruments/methods of spine alignment evaluation, and comparative evaluation of different designs.ResultsThe review demonstrated that mattress designs have strived for customization, regional features, and real-time active control to adapt to the biomechanical features of different body builds and postures. However, the suggested threshold or target values for desirable spine alignment and body pressure distribution during sleep cannot yet be justified in view of the lack of sufficient evidence.ConclusionsIt is necessary to formulate standard objectives and protocols for carrying out mattress evaluation.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Sleeping mattress determinants and evaluation: a biomechanical review and critique

Wong

Yan

Lin

et al. 2019

PeerJ

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“…Figure 2 presents an overview of the control that is implemented in the bed systems. The general input of the control algorithm is provided by the mattress indentation measurements, from which posture and spine shape can be calculated using the personalized human models (more detailed information on this procedure can be found in [23]). Based on a comparison of the modelled spine shape with the desired (reference) shape a new bed configuration is proposed (i.e.…”

Section: Measurementsmentioning

confidence: 99%

Biomechanics-based active control of bedding support properties and its influence on sleep

Deun

Verhaert

Willemen

et al. 2012

Work

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Proper body support plays an import role in the recuperation of our body during sleep. Therefore, this study uses an automatically adapting bedding system that optimises spinal alignment throughout the night by altering the stiffness of eight comfort zones. The aim is to investigate the influence of such a dynamic sleep environment on objective and subjective sleep parameters. The bedding system contains 165 sensors that measure mattress indentation. It also includes eight actuators that control the comfort zones. Based on the measured mattress indentation, body movements and posture changes are detected. Control of spinal alignment is established by fitting personalized human models in the measured indentation. A total of 11 normal sleepers participated in this study. Sleep experiments were performed in a sleep laboratory where subjects slept three nights: a first night for adaptation, a reference night and an active support night (in counterbalanced order). Polysomnographic measurements were recorded during the nights, combined with questionnaires aiming at assessing subjective information. Subjective information on sleep quality, daytime quality and perceived number of awakenings shows significant improvements during the active support (ACS) night. Objective results showed a trend towards increased slow wave sleep. On the other hand, it was noticed that % N1-sleep was significantly increased during ACS night, while % N2-sleep was significantly decreased. No prolonged N1 periods were found during or immediately after steering.

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Nonlinear Stiffness Characteristics and Model of Air Spring for Mattress based on Finite Element and Numerical Analysis

Yao

Shen

2022

Advcd Theory and Sims

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To investigate the nonlinear stiffness characteristics and the model of an air spring for mattresses on arbitrary working conditions, a finite element model of an air spring is established, modified by response surface method and verified by uniaxial compression experiment on conditions of different initial inner pressure. Then the static stiffness characteristics on arbitrary working conditions are analyzed by finite element analysis in ABAQUS. In addition, the model for engineering control is established and the stiffness characteristics are analyzed by numerical method under working conditions. The results demonstrate the nonlinear stiffness of an air spring is positively correlated with the inner pressure and compression displacement. Additionally, a finite element model is established with average relative error ratio of 0.059 and 0.074 on conditions of compression by 20 and 30 mm, respectively, satisfying engineering requirement. Moreover, the stiffness model of an air spring on any working conditions is established by fitting surfacecontaining compression displacement and inner pressure at equilibrium position then calculating its partial derivative with respect to compression displacement. The present study suggests the nonlinear stiffness prediction model of an air spring is applicable to any working conditions, only requiring inner pressure at initial and equilibrium conditions.

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Smart control of spinal alignment through active adjustment of mechanical bed properties during sleep

Cited by 19 publications

References 25 publications

Sleeping mattress determinants and evaluation: a biomechanical review and critique

Sleeping mattress determinants and evaluation: a biomechanical review and critique

Biomechanics-based active control of bedding support properties and its influence on sleep

Nonlinear Stiffness Characteristics and Model of Air Spring for Mattress based on Finite Element and Numerical Analysis

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