Frank Borg's research while affiliated with Kokkola University Chydenius and other places

... To reinforce the importance of adequate supervision, Vikberg et al. (2019) showed that exercise professional supervision during a low-load training program produced significant improvements in 70-year-old participants. Similar positive results were obtained by Björkgren et al. (2021). Chen et al. (2018) demonstrated the effectiveness and safety of a medium-to-high load kettlebells-based resistance training program that included multi-joint exercises (i.e., deadlift and squat) in participants between 65 and 75 years old. ...

... The main theory of this analysis is to use a filter bank of non-stationary sEMG signal as a function of both time and frequency. In addition, the filter bank is redefined based on the Wavelet method by rescaling a given mother wavelet using center frequencies with non-constant relative bandwidth (Borg, 2010). It also proposes a variation on frequency bands with time to suit the sEMG signal investigation. ...

... (i) Summary measures of acceleration and jerk of the putter swing, previously used to characterise expertise (Mackenzie and Evans 2010;Sim and Kim 2010;Moore et al. 2012) and variance in the sagittal plane (i.e., perpendicular to the downswing); (ii) Continuous time-series of putter swing accelerations using statistical parametric mapping (Friston et al. 2011); (iii) The amplitude of postural sway and measures of total postural adjustments (centre of pressure path length and area of the 95% confidence ellipse of centre of pressure); (iv) The complexity (entropy) of postural sway to index more automatic (i.e., less consciously processed) postural control (Borg and Laxåback 2010); (v) Self-reported conscious awareness of movement. ...

... [12][13][14], as well as expert support systems for electromyographic diagnosis. The exploration of the EMG activity includes the recording of the bioelectric signal in two functional states: the resting state, in which the muscle is relaxed, and the active state, in which the muscle enhances a contraction [15]. An active state is characterized by regions in the EMG signal of relatively greater amplitude, compared to the regions associated with resting states. ...

... Neste caso, o ponto ̅ é chamado o ponto de equilíbrio do sistema ̇= ( ), desde que ̇=0 quando x= ̅ (o sistema atingirá o equilíbrio em ̅ ). A expansão da série de Taylor de f(x) em torno do ponto ̅ é dada por: [4] Que pode ser escrita como: [5] Para x suficientemente perto de ̅ , os termos maiores serão perto de zero, então eles podem ser desconsiderados para obter a aproximação: [6] Desde que f( ̅ )=0, a equação diferencial não-linear pode ser aproximada perto do ponto de equilíbrio para: ...

... Another increasingly used approach is related to the DFA method (described in the previous section). The α exponent is related to the HE parameter by [75] α = 1 + HE. The advantages of DFA over conventional methods (periodogram and R/S method) are that of permitting the detection of long-range correlations in time series with non-stationarities and of avoiding the spurious detection of apparent long-range correlations that are an artifact of non-stationarity [60,62]. ...

... Ramiai stovinčio sveiko žmogaus posturograma chaotiška, signalas nereguliarus, todėl mokslininkai mėgina išskirti tam tikrus triukšmo ir virpesių (osciliacijų) modelius [20]. ...

... There have been several attempts primarily directed at biologists to set the record straight on the physical basis of osmosis (Stein, 1966;Kiil, 1982;Kramer and Myers, 2012), as well as accounts of the Debye model in journals (Manning, 1968;Oster and Peskin, 1992;Borg, 2003;Marbach and Bocquet, 2019;Song et al., 2021) and textbooks (Benedek and Villars, 1974;Weiss, 1996;Baumgarten and Feher, 2011;Nelson, 2014), but despite these efforts, misconceptions have persisted. The apparent simplicity of osmosis may have masked what is at bottom a rather subtle phenomenon with enormous implications for biology (Dick, 1966;House, 1974;Andersen, 2015). ...