ArticleIEEE transactions on bio-medical engineering2023
A Handheld Quantifiable Soft Tissue Manipulation Device for Tracking Real-Time Dispersive Force-Motion Patterns to Characterize Manual Therapy Treatment.
Article in IEEE transactions on bio-medical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Visual monitoring in real-time improves consistency of 3D IASTM force applied to humans.Chiropractic & manual therapies · 2026Observational
- Technologies to investigate the mechanisms of force-based manipulations: a narrative methods review.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Strain-based biomarkers at the skin surface differentiate asymmetries in soft tissue mobility associated with myofascial pain.Journal of the mechanical behavior of biomedical materials · 2025Article
- Soft tissue manipulation enhances recovery of muscle mass in a disuse model of sarcopenia.Journal of osteopathic medicine · 2025Article
- Strain-based biomarkers at the skin surface detect changes in soft tissue mobility linked to myofascial pain following soft tissue manipulation intervention.medRxiv : the preprint server for health sciences · 2025Article
- Bioinspired 3D braided artificial ligament with human-like mechanical properties and self-healing capability.Frontiers in bioengineering and biotechnology · 2025Article
- Optical Measurements of the Skin Surface to Infer Bilateral Distinctions in Myofascial Tissue Stiffness.World Haptics Conference. World Haptics Conference · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveLow back pain (LBP) is one of the leading neuromusculoskeletal (NMSK) problems around the globe. Soft Tissue Manipulation (STM) is a force-based, non-invasive intervention used to clinically address NMSK pain conditions. Current STM practice standards are mostly subjective, suggesting an urgent need for quantitative metrics. This research aims at developing a handheld, portable smart medical device for tracking real-time dispersive force-motions to characterize manual therapy treatments as Quantifiable Soft Tissue Manipulation (QSTM).
methodsThe device includes two 3D load-cells to quantify compressive and planar-shear forces, coupled with a 6 degrees-of-freedom IMU sensor for acquiring volitionally adapted therapeutic motions while scanning and mobilizing myofascial restrictions over larger areas of the body. These force-motions characterize QSTM with treatment parameters (targeted force, application angle, rate, direction, motion pattern, time) as a part of post-processing on a PC software (Q-Ware
resultsExternal validation of treatment parameters reported adequate device precision required for clinical use. The case study findings revealed identifiable therapeutic force-motion patterns within treatments indicating subject's elevated force-endurance with self-reported pain reduction.
conclusionQSTM metrics may enable study of STM dosing for optimized pain reduction and functional outcomes using documentable manual therapy. Clinical trials will further determine its reliability and comparison to conventional STM. SIGNIFICANCE: This medical device technology not only advances the state-of-the-art manual therapy with precision rehabilitation but also augments practice with reproducibility to examine neurobiological responses of individualized STM prescriptions for NMSK pathology.
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Registered trials
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