ISSN: 3070-3662 | DOI Prefix: 10.66078/jmmbs | Indexed: ROAD | Open Access · Peer Reviewed
JMMBS
JMMBS Journal of Movement Mechanics & Biomechanics Science
Open Access Peer Reviewed Double-Blind ROAD Indexed
CC BY 4.0
J

JMMBS

Journal of Movement Mechanics & Biomechanics Science

Vol. 2 · Issue 2 · 2026
ISSN: 3070-3662 (Online)
DOI: 10.66078/jmmbs.v2i2.005
Position Paper No. 017 · Clinical Physiotherapy
Clinical Biomechanics in Physiotherapy Practice – A Decision-Support Perspective
NM
Dr. Neeraj Mehta, PhD
MMSx Authority Institute, Powell, Ohio, USA
0000-0001-6200-8495
SH
Dr. Steve Henderson, PhD
MMSx Authority Institute, USA
0009-0005-7485-1427
SM
Santa March, PhD
Dept. of Exercise Science, ASFU, USA
0009-0002-1933-1152
JS
Dr. Josh Smith, PhD
Clinical Rehabilitation & Sports Biomechanics, USA
0009-0008-1412-7076
SM
Sunita Malhotra, MSc
Clinical Research & Ethical Board Coordinator, MMSx, USA
0009-0007-2279-9764
PM
Pankaj Mehta, MSc
Dept. of Exercise Science, GFFI Fitness Academy, USA
0009-0009-5920-0158
GM
Gandharv Mahajan
Technical Research Division, MMSx Authority Institute, USA
0000-0001-7809-6311
AM
Anupama Mahajan
Scientific Advisory Board, Indian Institute for Kinesiology & Biomechanics Research, USA
0000-0002-6690-0322
SC
Sumit Chaudhary Khobey, BSc
Strength & Conditioning Dept., Bodygntx Rehab Institute, USA
0009-0008-1523-6493
Published2026
DOI10.66078/jmmbs.v2i2.005
LicenseCC BY 4.0
Paper No.Position Paper 017
ISSN3070-3662 (Online)
VolumeVolume 2, Issue 2, 2026

Abstract

This position paper presents clinical biomechanics as an interpretive, decision-support science in physiotherapy practice. It emphasizes the integration of kinematics, kinetics, and neuromuscular control to explain mechanical exposure and inform load management, risk stratification, and progression decisions. The framework moves beyond general exercise prescription to a mechanically intelligent approach, aligning biomechanics with medical-grade standards for enhanced clinical reasoning.

Keywords: clinical biomechanics; physiotherapy; decision-support; kinematics; kinetics; neuromuscular control; load management; risk stratification; mechanical exposure; clinical reasoning
• Educational & clinical decision-support reference
• Intended for MSc & PhD students, physiotherapists, clinicians, and academic faculty
• Supports biomechanical reasoning, load analysis, and injury-risk interpretation
• Not a diagnostic, treatment, or medical protocol document
Fig 1
Fig. 1 — Title Slide
Fig 4
Fig. 4 — Chronic Exposure
Fig 5
Fig. 5 — Decision-Support
Fig 10
Fig. 10 — Neuromuscular
Abstract

This position paper presents clinical biomechanics as an interpretive, decision-support science in physiotherapy practice. It emphasizes the integration of kinematics, kinetics, and neuromuscular control to explain mechanical exposure and inform load management, risk stratification, and progression decisions. The framework moves beyond general exercise prescription to a mechanically intelligent approach, aligning biomechanics with medical-grade standards for enhanced clinical reasoning.

Keywords: clinical biomechanics; physiotherapy; decision-support; kinematics; kinetics; neuromuscular control; load management; risk stratification; mechanical exposure; clinical reasoning
Session Overview

The Session Roadmap

This position paper is structured around four interconnected blocks, each building on the previous to construct a complete decision-support framework for clinical biomechanics in physiotherapy:

Block 01

The Biomechanical Lens

Why biomechanics is interpretive, not interventional. Understanding the distinction between describing movement and explaining its mechanical consequences.

Block 02

The Decision-Support Framework

Moving beyond general exercise prescription toward mechanically intelligent clinical reasoning for load management and progression.

Block 03

Clinical Application

Load management, stabilising systems, and the practical application of mechanical analysis to rehabilitation and injury prevention protocols.

Block 04

Future Initiatives

Research priorities, clinical validation pathways, and the advancement of professional education in clinical biomechanics.

Figure 2 — Session Roadmap outlining the four blocks of the position paper.
Figure 2.
Session Roadmap — the four interconnected blocks structuring this position paper, from foundational biomechanical science through clinical decision-support application to future research directions.
Block 1

Biomechanics as Foundational Science

1.1 Pain Emerges from Chronic Mechanical Exposure

A foundational principle underpinning this position paper is that musculoskeletal injury is cumulative, rarely isolated. Pain and structural compromise most commonly arise from progressive mechanical exposure that exceeds tissue tolerance across time — not from a single acute event. The contributing factors to this cumulative mechanical exposure include:

  • Poor timing of muscle activation relative to load application
  • Unfavourable moment arms that amplify joint stress beyond primary structure capacity
  • Inadequate neuromuscular control and coordination under load
  • Repetitive overload patterns that prevent adequate tissue recovery and remodelling
Figure 4 — Pain Emerges from Chronic Mechanical Exposure.
Figure 4.
Pain emerges from chronic mechanical exposure. The injury event is the endpoint of cumulative loading, not the initiating cause. Clinical biomechanics identifies and quantifies the upstream mechanical exposures — poor timing, unfavourable moment arms, inadequate control, repetitive overload — that progressively consume tissue tolerance margin.

1.2 Clinical Biomechanics as a Decision-Support Science

A critical conceptual clarification is necessary at the outset: clinical biomechanics does not diagnose disease. Its function is to quantify movement behaviour under load, and to translate that quantification into clinically actionable insights regarding risk, readiness, and progression. In this capacity, biomechanical analysis complements — rather than replaces — imaging results, pain reports, and strength testing.

Clinical biomechanics does not diagnose disease. It quantifies movement behaviour under load, informs risk, readiness, and progression decisions, and complements imaging, pain reports, and strength testing.

— MMSx Authority Position Paper Series · Position Paper 017
Figure 5 — Clinical Biomechanics as Decision-Support Science.
Figure 5.
Clinical biomechanics as a decision-support science. The framework positions biomechanical analysis as a complementary layer to standard clinical assessment tools — informing load management decisions, risk stratification, and progression criteria rather than establishing diagnosis.

1.3 Clinical Biomechanics Must Be Treated as Medical-Grade Knowledge

The MMSx Authority position is unambiguous: clinical biomechanics must be elevated to medical-grade knowledge status within physiotherapy curricula and practice frameworks. Biomechanics provides the mechanical foundation for understanding why tissues fail, why pain recurs following apparently successful rehabilitation, and why symptomatic resolution does not guarantee safe return to loading. It enables evidence-based clinical decision-making and elevates physiotherapy from symptomatic management to mechanical intelligence.

Figure 6 — Clinical Biomechanics as Medical-Grade Knowledge.
Figure 6.
Clinical biomechanics treated as medical-grade knowledge. The mechanical basis for tissue failure, pain recurrence, and inadequate rehabilitation outcomes cannot be fully addressed through symptom-based frameworks alone. Biomechanical reasoning elevates clinical practice to mechanical intelligence.
Figure 7 — Block 1 Summary: Biomechanics as Foundational Science.
Figure 7.
Block 1 summary — five core propositions: Interpretive Science; Chronic Load Accumulation as the primary injury mechanism; Essential Integration with other clinical modalities; Support for Clinical Reasoning; and Medical-Grade Standards for biomechanical education and practice.
Block 2

The Three Pillars of Mechanical Analysis

Kinematics
Describes movement patterns — joint angles, velocities, coordination, symmetry
Kinetics
Explains why movement occurs — forces, moments, and joint loading
Neuromuscular Control
Determines efficiency — timing, stiffness, load-sharing strategy

2.1 Kinematics Describes Movement Patterns

Kinematics — the study of motion without reference to the forces producing it — provides the descriptive layer of clinical biomechanical analysis. Kinematic assessment measures joint angles, segment velocities, coordination patterns, and bilateral symmetry indices. It identifies deviations from normative movement templates and flags compensatory strategies. Kinematics is descriptive, not explanatory: it tells the clinician where the movement problem is, but not why the tissue is loaded beyond tolerance.

Figure 8 — Kinematics Describes Movement Patterns.
Figure 8.
Kinematics describes movement patterns through joint angles, velocities, and coordination. While kinematic assessment identifies deviations and compensatory strategies, its explanatory power is limited — identical kinematics can be produced by mechanically distinct and differentially injurious motor solutions.

2.2 Kinetics Explains Why Movement Occurs

Kinetics — the study of forces and moments acting on the body — provides the explanatory layer of clinical biomechanical analysis. The core clinical principle is unambiguous: a joint fails when load exceeds capacity. Kinetic analysis quantifies the mechanical forces acting at joint surfaces, the net moments required of musculotendinous structures, and the relationship between applied load and tissue tolerance. Without kinetic reasoning, clinical assessment remains surface-level and cannot reliably predict injury recurrence or safe progression.

Figure 9 — Kinetics Explains Load and Why Movement Occurs.
Figure 9.
Kinetics explains load — the core clinical principle is that a joint fails when load exceeds capacity. Kinetic analysis provides the explanatory layer that kinematics cannot: it quantifies forces, moments, and the relationship between applied mechanical demand and tissue tolerance thresholds.

2.3 Neuromuscular Control Determines Efficiency

Neuromuscular control — the nervous system's capacity to determine timing, joint stiffness, and load-sharing between structures — is the integrative layer that determines the efficiency with which kinematics and kinetics are expressed. Poor neuromuscular control increases the mechanical cost of movement: it elevates co-contraction demands, increases shear at joint surfaces, and disrupts the load-sharing strategies that distribute force across multiple structures. The clinical implication is that symptomatic improvement does not reliably indicate neuromuscular recovery — restored movement capacity must be assessed under progressively challenging load conditions before return to full activity.

Figure 10 — Neuromuscular Control Determines Efficiency.
Figure 10.
Neuromuscular control determines efficiency — the nervous system's decisions about timing, stiffness, and load-sharing are the primary determinants of mechanical cost. Poor control elevates injury risk independently of kinematics or kinetics, making it an essential assessment domain in clinical biomechanics.
Declarations

Declarations

License

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use and distribution with attribution.

Conflicts of Interest

The authors declare no competing interests. All authors have contributed to the intellectual content of this position paper.

Funding

No external funding was received for this position paper. Published under the independent academic auspices of the MMSx Authority Institute.

Author Contributions

Lead author and framework conceptualisation: N.M. Contributing authors provided domain expertise in exercise science, clinical rehabilitation, research ethics, and technical biomechanics. All authors approved the final version.

How to Cite This Article
Mehta, N., Henderson, S., March, S., Smith, J., Malhotra, S., Mehta, P., Mahajan, G., Mahajan, A., & Khobey, S. C. (2026). Clinical biomechanics in physiotherapy practice – A decision-support perspective. Journal of Movement Mechanics & Biomechanics Science, 2(2). https://doi.org/10.66078/jmmbs.v2i2.005
References

References

All references formatted in accordance with APA 7th Edition.

  1. Neumann, D. A. (2017). Kinesiology of the musculoskeletal system: Foundations for rehabilitation (3rd ed.). Elsevier.
  2. McGill, S. M. (2016). Low back disorders: Evidence-based prevention and rehabilitation (3rd ed.). Human Kinetics.
  3. Winter, D. A. (2009). Biomechanics and motor control of human movement (4th ed.). Wiley.
  4. Delp, S. L., et al. (2007). OpenSim: Open-source software to create and analyze dynamic simulations of movement. IEEE Transactions on Biomedical Engineering, 54(11), 1940–1950.
  5. Besier, T. F., Lloyd, D. G., & Ackland, T. R. (2003). Muscle force estimation in vivo using EMG-driven models. Journal of Biomechanics, 36(12), 1769–1779.
  6. Hodges, P. W., & Richardson, C. A. (1996). Inefficient muscular stabilisation of the lumbar spine associated with low back pain. Spine, 21(22), 2640–2650.
  7. Latash, M. L. (2012). Fundamentals of motor control. Academic Press.
  8. Hamill, J., & Knutzen, K. M. (2015). Biomechanical basis of human movement (4th ed.). Lippincott Williams & Wilkins.
  9. Panjabi, M. M. (1992). The stabilizing system of the spine. Journal of Spinal Disorders, 5(4), 383–389.
  10. Bolga, L. A., & Malone, T. R. (2004). Exercise prescription and load management in rehabilitation. Journal of Athletic Training, 39(4), 345–356.
  11. Clark, M. A., Lucett, S. C., & Sutton, B. G. (2014). NASM essentials of corrective exercise training. Lippincott Williams & Wilkins.
  12. Enoka, R. M., & Duchateau, J. (2016). Translating fatigue to human performance. Medicine & Science in Sports & Exercise, 48(11), 2228–2238.
  13. Sahrmann, S. A. (2002). Diagnosis and treatment of movement impairment syndromes. Mosby.
  14. Kibler, W. B., Press, J., & Sciascia, A. (2006). The role of core stability in athletic function. Sports Medicine, 36(3), 189–198.
  15. van Dieën, J. H., Reeves, N. P., Kawchuk, G., van Dillen, L. R., & Hodges, P. W. (2019). Motor control changes in low-back pain. Journal of Orthopaedic & Sports Physical Therapy, 49(6), 370–379.