Publications

Fonseka RD, Natarajan P, Maharaj MM, Koinis L, Sy L, Mobbs RJ. Objective Gait Analysis Using a Single-Point Wearable Sensor to Assess Lumbar Spine Patients Pre- and Postoperatively. Surgical Techniques Development. 2024; 13(1):58-75. https://doi.org/10.3390/std13010004 .

Mobbs, R.J., Fonseka, R.D., Natarajan, P., Koinis, L., Maharaj, M.M. (2024). The subjective and objective quality of life score (SOQOLTM) for the quantification of general health status: a preliminary study with initial normative population values. J Patient Rep Outcomes 8, 7. https://doi.org/10.1186/s41687-024-00684-1

Amin T., Parr W.C.H., Natarajan P., Lennox A., Koinis L., Mobbs R.J. (2023) Anterior Lumbar Interbody Fusion (ALIF) for Lumbar Hemivertebra in an Adult Using Three-Dimensional-Printed Patient-Specific Implants and Virtual Surgery Planning: A Technical Report. Surgical Techniques Development. 12(4):199-210. https://doi.org/10.3390/std12040019

Natarajan, P., Fonseka, R.D., Maharaj, M.M., Koinis, L., Mobbs R.J. (2023). Continuous data capture of gait and mobility metrics using wearable devices for postoperative monitoring in common elective orthopaedic procedures of the hip, knee, and spine: a scoping review. J Orthop Surg Res 18, 812. https://doi.org/10.1186/s13018-023-04303-5

Koinis, L., Mobbs, R., Fonseka, R., & Natarajan, P. (2022). A commentary on the potential of smartphones and other wearable devices to be used in the identification and monitoring of mental illness. Annals Of Translational Medicine, 10(24), 1420. doi:10.21037/atm-21-6016

Fernando, V., Pannu, M., Natarajan, P.R., Fonseka, D., Singh, N., Jayalath, S., Maharaj, M.M. & Mobbs R.J. (2023). Machine learning algorithms in spatiotemporal gait analysis can identify patients with Parkinson’s disease. medRxiv, 2023-07.

Mobbs, R.J., Amin, S., Stulberg, S.D., Kerina, J.M., Hernandez, V. & Bolander, R. (2023). Remote Monitoring using Wearable Technology after Knee Arthroplasty Using a Joint-Specific Wearable Device: A Prospective Cohort Study of 435 patients with 6 week follow up. Journal of Orthopaedic Experience and Innovation.
Maharaj M, Natarajan P, Fonseka RD, Khanna S, Choy WJ, Rooke K, Phan K, Jasper Mobbs RJ. (2022). The concept of recovery kinetics: an observational study of continuous post-operative monitoring in spine surgery. J Spine Surg. doi: 10.21037/jss-22-5

Sy LW. An engineer’s perspective on the mechanisms and applications of wearable inertial sensors. J Spine Surg 2022;8(1):185-189. doi: 10.21037/jss-21-108

Natarajan P, Fonseka RD, Sy L, Maharaj M, Mobbs RJ. Analysing gait patterns in degenerative lumbar spine diseases – an observational study. Analysing gait patterns in degenerative lumbar spine disease using inertial wearable sensors — an observational study. World Neurosurg 2022. doi: 10.1016/j.wneu.2022.04.013

Natarajan P, Fonseka RD, Sy L, Mobbs RJ, Maharaj M. Proposed objective scoring algorithm for clinical evaluation of walking asymmetry in lumbar disc herniation, based on relevant gait metrics from wearable devices: The Gait Symmetry Index (GSiTM)–Observational study. Brain and Spine. 2022 May 7:100895.

Natarajan P, Fonseka RD, Kim S, Betteridge C, Maharaj M, Mobbs RJ. Analysing gait patterns in degenerative lumbar spine diseases: a literature review. J Spine Surg 2021. doi: 10.21037/jss-21-91

Mobbs, R.J., Natarajan, P., Fonseka, R.D., Betteridge, C., Ho, D., Mobbs, R., Sy, L., Maharaj, M. Walking orientation randomness metric (WORM) score: pilot study of a novel gait parameter to assess walking stability and discriminate fallers from non-fallers using wearable sensors. BMC Musculoskelet Disord 23, 304 (2022). https://doi.org/10.1186/s12891-022- 05211-1

Lim ACY, Natarajan P, Fonseka RD, Maharaj M, Mobbs RJ. The application of artificial intelligence and custom algorithms with inertial wearable devices for gait analysis and detection of gait-altering pathologies in adults: A scoping review of literature. Digital Health. January 2022. doi:10.1177/20552076221074128

Betteridge, C., Natarajan, P., Fonseka, R. D., Ho, D., Mobbs, R. J., Choy. W. J.. Objective falls-risk prediction using wearable technologies amongst patients with and without neurogenic gait alterations: A narrative review of clinical feasibility. mHealth 2021. doi: 10.21037/mhealth-21-7

Fonseka RD, Natarajan P, Maharaj MM, Mobbs RJ. Tracking the disease progression of lumbar spinal stenosis using objective gait metrics: a case report. J Spine Surg 2022. doi: 10.21037/jss-21-101

Fonseka RD, Natarajan P, Maharaj MM, Rooke K, Mobbs RJ. Two-year continuous data capture using a wearable sensor to remotely monitor the surgical spine patient: a case report. J Spine Surg 2021. doi: 10.21037/jss-21-89

Fonseka RD, Natarajan P, Mobbs RJ. Inter-bout and intra-bout gait variability—proposed objective measures of gait deterioration during prolonged walking in spine care. J Spine Surg 2021. doi: 10.21037/jss-21-88

Mobbs RJ, Fonseka RD, Natarajan P. Wearable sensor technology in spine care. J Spine Surg 2021. doi: 10.21037/jss-21- 113

Betteridge C, Mobbs RJ, Fonseka RD, Natarajan P, Ho D, Choy WJ, Sy LW, Pell N. Objectifying clinical gait assessment: using a single-point wearable sensor to quantify the spatiotemporal gait metrics of people with lumbar spinal stenosis. Journal of Spine Surgery 2021. doi: 10.21037/jss-21-16

Mobbs RJ, Perring J, Raj SM, Maharaj M, Yoong NKM, Sy LW, Fonseka RD, Natarajan P, Choy WJ. Gait metrics analysis utilizing single-point inertial measurement units: a systematic review. mHealth 2021. doi: 10.21037/mhealth-21-17

Betteridge, C., Mobbs, R. J., & Ho, D. (2021). Proposed objective scoring algorithm for walking performance, based on relevant gait metrics: the Simplified Mobility Score (SMoS™)—observational study. Journal of Orthopaedic Surgery and Research16(1), 1-7.

Ghent, F., Mobbs, R. J., Mobbs, R. R., Sy, L., Betteridge, C., & Choy, W. J. (2020). Assessment and post-intervention recovery after surgery for lumbar disk herniation based on objective gait metrics from wearable devices using the gait posture index. World Neurosurgery142, e111-e116.

Perring, J., Mobbs, R., & Betteridge, C. (2020). Analysis of patterns of gait deterioration in patients with lumbar spinal stenosis. World Neurosurgery141, e55-e59.

Mobbs RJ, Ho D, Choy WJ, Betteridge C, Lin H. COVID-19 is shifting the adoption of wearable monitoring and telemedicine (WearTel) in the delivery of healthcare: opinion piece. Ann Transl Med. 2020 Oct;8(20):1285. doi: 10.21037/atm-20-3678. PMID: 33209865; PMCID: PMC7661877.

Bai MY, Mobbs RJ, Walsh WR, Betteridge C. mHealth Apps for Enhanced Management of Spinal Surgery Patients: A Review. Front Surg. 2020 Oct 23;7:573398. doi: 10.3389/fsurg.2020.573398. PMID: 33195387; PMCID: PMC7644511.

Mobbs RJ, Betteridge C. WearTel: a potential solution to lack of objective patient assessment tools in remote care during the COVID-19 pandemic. J Spine Surg. 2020 Sep;6(3):637-638. doi: 10.21037/jss-2020-04. PMID: 33102904; PMCID: PMC7548819.

Mobbs, R. J. (2020). Gait velocity (walking speed) is an indicator of spine health, and objective measure of pre and post intervention recovery for spine care providers. Journal of Spine Surgery6(2), 353.

Chakravorty, A., Mobbs, R. J., Anderson, D. B., Rooke, K., Phan, K., Yoong, N., … & Choy, W. J. (2019). The role of wearable devices and objective gait analysis for the assessment and monitoring of patients with lumbar spinal stenosis: systematic review. BMC musculoskeletal disorders20(1), 1-9.

Simpson, L., Maharaj, M. M., & Mobbs, R. J. (2019). The role of wearables in spinal posture analysis: a systematic review. BMC musculoskeletal disorders20(1), 1-14.

Mobbs, R. J., Mobbs, R. R., & Choy, W. J. (2019). Proposed objective scoring algorithm for assessment and intervention recovery following surgery for lumbar spinal stenosis based on relevant gait metrics from wearable devices: the Gait Posture index (GPi). Journal of Spine Surgery5(3), 300.

Mobbs, R. J., Katsinas, C. J., Choy, W. J., Rooke, K., & Maharaj, M. (2018). Objective monitoring of activity and Gait Velocity using wearable accelerometer following lumbar microdiscectomy to detect recurrent disc herniation. Journal of Spine Surgery4(4), 792.

Phan, K., Lackey, A., Chang, N., Ho, Y.T., Abi-Hanna, D., Kerferd, J., Maharaj, M.M., Parker, R.M., Malham, G.M. & Mobbs, R.J. (2017). Anterior lumbar interbody fusion (ALIF) as an option for recurrent disc herniations: a systematic review and meta-analysis. J Spine Surg. 3(4):587-595.

Mobbs, R. J., Phan, K., Maharaj, M., & Rao, P. J. (2016). Physical activity measured with accelerometer and self-rated disability in lumbar spine surgery: a prospective study. Global spine journal6(5), 459-464.

Phan, K., & Mobbs, R. J. (2016). Long-term objective physical activity measurements using a wireless accelerometer following minimally invasive transforaminal interbody fusion surgery. Asian spine journal10(2), 366.

Rao, P. J., Phan, K., Maharaj, M. M., Pelletier, M. H., Walsh, W. R., & Mobbs, R. J. (2016). Accelerometers for objective evaluation of physical activity following spine surgery. Journal of Clinical Neuroscience26, 14-18.

Phan, K. Hogan, J., Maharaj, M. & Mobbs, R.J. (2015). Cortical Bone Trajectory for Lumbar Pedicle Screw Placement: A Review of Published Reports. Journal of Orthopaedic Surgery, 7:213–221.