用手机视频实现精准步态分析，让临床移动评估变得简单可靠。
Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone
- 用手持手机拍摄视频，自动拟合全身运动模型
- 关节角度误差小于3°，骨盆位移误差几厘米
- 适合神经损伤、假肢用户等人群，临床部署易用
运动直接反映神经与骨骼肌肉健康，但客观生物力学评估在常规医疗中极少应用。我们提出便携式生物力学实验室（PBL），一个安全平台，可对手持移动手机拍摄的视频进行生物力学模型拟合。在超过15小时同步真实动作捕捉数据的验证中，平均关节角度误差低于3°，骨盆位移误差为几厘米，覆盖神经损伤患者、下肢假肢使用者、儿科住院患者及健康对照组。在神经外科和运动医学门诊超过5小时的前瞻性部署中，PBL设置简便，步态指标可靠性高（ICC > 0.9），能检测出临床相关差异。对于颈髓病患者，其步态质量测量结果与改良日本骨科协会评分（mJOA）相关，并对临床干预有响应。手持手机视频可实现准确、可扩展且低负担的生物力学测量，显著提升运动障碍监测能力。我们发布了首个经临床验证的从单目手机视频测量全身运动学的方法，详见 https://IntelligentSensingAndRehabilitation.github.io/MonocularBiomechanics/。
原文摘要 · Abstract (English)
Movement directly reflects neurological and musculoskeletal health, yet objective biomechanical assessment is rarely available in routine care. We introduce Portable Biomechanics Laboratory (PBL), a secure platform for fitting biomechanical models to video collected with a handheld, moving, smartphone. We validate this approach on over 15 hours of data synchronized to ground truth motion capture, finding mean joint-angle errors < 3$°$ and pelvis-translation errors of a few centimeters across patients with neurological-injury, lower-limb prosthesis users, pediatric in-patients, and controls. In > 5 hours of prospective deployments to neurosurgery and sports-medicine clinics, PBL was easy to setup, yielded highly reliable gait metrics (ICC > 0.9), and detected clinically relevant differences. For cervical-myelopathy patients, its measurement of gait quality correlated with modified Japanese Orthopedic Association (mJOA) scores and were responsive to clinical intervention. Handheld smartphone video can therefore deliver accurate, scalable, and low-burden biomechanical measurement, enabling greatly increased monitoring of movement impairments. We release the first clinically-validated method for measuring whole-body kinematics from handheld smartphone video at https://IntelligentSensingAndRehabilitation.github.io/MonocularBiomechanics/.
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