Functional modeling of pedaling kinematics for the Stroke patients

The Utilization of Forced-Rate Cycling to Facilitate Motor Recovery Following Stroke: A Randomized Clinical Trial

BACKGROUND

The potential for aerobic exercise (AE) to enhance neuroplasticity post-stroke has been theorized but not systematically investigated. Our aim was to determine the effects of forced-rate AE (FE) paired with upper extremity (UE) repetitive task practice (FE + RTP) compared to time-matched UE RTP (RTP only) on motor recovery.

METHODS

A single center randomized clinical trial was conducted from April 2019 to December 2022. Sixty individuals ≥6 months post-stroke with UE hemiparesis were randomized to FE + RTP (N = 30) or RTP only (N = 30), completing 90-minute sessions, 3×/week for 8 weeks. The FE + RTP group underwent 45-minute of FE (5-minute warm-up, 35-minute main set, and 5-minute cool down) followed by 45-minute of UE RTP. The RTP only group completed 90-minute of RTP. Primary outcomes were the Fugl-Meyer Assessment (FMA) and Action Research Arm Test (ARAT). The 6-minute Walk Test (6MWT, secondary outcome) assessed walking capacity.

RESULTS

Sixty individuals enrolled and 56 completed the study. The RTP only group completed more RTP in terms of repetitions (411.8 ± 44.4 vs 222.8 ± 28.4, P < .001) and time (72.7 ± 6.7 vs 37.8 ± 2.4 minutes, P < .001) versus FE + RTP. There was no significant difference between groups on the FMA (FE + RTP, 36.2 ± 10.1-44.0 ± 11.8 and RTP only, 34.4 ± 11.0-41.2 ± 13.4, P = .43) or ARAT (FE + RTP, 32.5 ± 16.6-37.7 ± 17.9 and RTP only, 32.8 ± 18.6-36.4 ± 18.5, P = .88). The FE + RTP group demonstrated greater improvements on the 6MWT (274.9 ± 122.0-327.1 ± 141.2 m) versus RTP only (285.5 ± 160.3-316.9 ± 170.0, P = .003).

CONCLUSIONS

There was no significant difference between groups in the primary outcomes. The FE + RTP improved more on the 6MWT, a secondary outcome.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT03819764.

Functional ANOVA for Upper Extremity Fatigue Analysis during Dynamic Order Picking

OCCUPATIONAL APPLICATIONSMusculoskeletal disorders are prevalent among warehouse workers who engage in repetitive and dynamic tasks. To prevent such injuries, it is vital to identify the factors that influence fatigue in the upper extremities during these repetitive activities. Our study reveals that task factors, namely the bottle mass and picking rate, significantly influence upper extremity fatigue. In most cases, the fatigue indicator is a functional variable, meaning that the fatigue score or measurement is a curve captured over time, which could be modeled as a function. In this study, we demonstrate that functional data analysis tools, such as functional analysis of variance (FANOVA), prove more effective than traditional methods in specifying how task factors contribute to the development of fatigue in the upper extremities. Furthermore, since there are inherent differences among workers that could affect their fatigue development process, the data heterogeneity could be tackled by employing clustering methods.