Muscle activation of patients suffering from asymmetric ankle osteoarthritis during isometric contractions and level walking – A time–frequency analysis

Motor unit control strategies of endurance‐ versus resistance‐trained individuals

“…Previously, wavelet transformation has been utilized to elucidate mechanisms of fatigue, diabetic neuropathy, and ankle osteoarthritis, and it has been reported to reflect MU conduction velocity. [9][10][11][12] For example, it has been reported that conduction velocity has a stronger relationship with the lower (<200 HZ) than higher (200-400 HZ) frequency wavelet bands. 9 Therefore, the wavelet transform provides insight on the contributions of low-threshold (slower conduction velocities) and high-threshold (faster conduction velocities) MUs during a contraction and, subsequently, may further expand knowledge regarding the utilization of low-and high-threshold MUs as a result of long-term ET and RT.…”

“…The concurrent changes in the high‐ and low‐frequency power may be of physiological importance and could be examined with wavelet transform analyses. Previously, wavelet transformation has been utilized to elucidate mechanisms of fatigue, diabetic neuropathy, and ankle osteoarthritis, and it has been reported to reflect MU conduction velocity . For example, it has been reported that conduction velocity has a stronger relationship with the lower (<200 H z ) than higher (200–400 H z ) frequency wavelet bands .…”

Gait Analysis in Orthopedic Foot and Ankle Surgery—Topical Review, Part 1

“…EMG can practically be used to study disease states such as arthritis and diabetes 59,74,87 as well as to quantify effects of treatment. 30,81 EMG has been used to assess the outcome of tendon transfer surgeries.…”

Multi-muscle activation strategies during walking in female post-operative total joint replacement patients

“…Wavelet based time/frequency analysis has been successfully applied to EMG data [von Tscharner 2000] revealing spectral, timing and intensity differences of muscular activations in patients with ankle OA [von Tscharner and Valderrabano 2010;Nüesch et al 2012]. Combining wavelet patterns for multiple muscles to form a MMP further allows for the simultaneous investigation of inter-and intra-muscle activations and their corresponding spectral properties [von Tscharner and Goepfert 2003;von Tscharner and Valderrabano 2010].…”