The study of vibration involves both linear and nonlinear oscillatory motions of bodies and the accompanying forces that result. External vibrations are classified as either whole body vibrations (WBV) or, site specific vibrations such as hand arm vibrations (HAV). The application of a vibratory stimulation to the human body or a specific limb increases the normal acceleration of the mass to the excitation frequency of the source resulting in an increase in force and a change in performance. When the frequency of excitation coincides with one of the natural frequencies of the system being vibrated then a condition of resonance is encountered and large oscillations may result causing damage to the system (Griffin, 1996).

Mechanical vibration is a source of stimulation that the human body is exposed to during everyday living activities. The source of this vibration may vary from vehicles of transportation such as trains, automobiles, planes and even spacecraft, to tools of work such as chainsaws, hammers and grinders (Griffin, 1996). Every material known to man vibrates at its own natural frequency (Giancoli, 1998). Biological material is no different, and muscle tissue has also been shown to vibrate at specific frequencies while at rest and contracting (Barry and Cole, 1990). Studies applying vibration to muscles have been shown to improve muscular strength and power development (Johnston et al., 1970; Samuelson et al., 1989; Issurin et al., 1994; Issurin and Tenenbaum, 1999; Warman et al., 2002), improve movement of neuromuscular deficient patients (Hagbarth and Eklund, 1966), improve kinaesthetic awareness (Burke et al., 1996), prevent bone loss (Flieger et al., 1998) and provide insights into the effects of fatigue (Herzog et al., 1994; Gabriel et al., 2002).

The research examining isometric strength development is even less understood with contrasting results appearing in the literature. The mixed results reported may result from the transmissibility of a vibration signal applied at the skin surface directly to the muscle/tendon unit or through WBV. The transmissibility of the vibration signal is dependent on muscle length and joint torque, likewise the signal application in relation to joint position can also affect the end frequency of vibration (Griffin, 1996; Wakeling and Nigg, 2001). The research utilising the direct application of a vibration signal at the surface of the muscle/tendon unit without concern of the joint position has demonstrated more comparable results. Studies conducted by Bosco and colleagues (1999a) on vibration and isometric strength development revealed significant improvements in power output during an arm extension exercise at near full extension with a 30 Hz vibration frequency. Bosco and colleagues (1999b), and Gabriel and colleagues (2002) have also reported a 10% isometric strength gain at joint angles of 170 degrees and 90 degrees, respectively. These data sets were also accompanied by mean changes in peak to peak electromyography (EMG) activity as a result of vibration at frequencies of 30 and 60 Hz, respectively. Changes accompanying vibration treatments have been suggested to be due to an increase in neuromuscular activity. However, not all studies have collected EMG and so these inferences may not be supported by the current data.

Investigations conducted by Rittweger and associates (2000) discovered a reduction in force output for an isometric leg extension at 90 degree knee angle and EMG median frequency after the effects of a 26 Hz WBV treatment. Likewise, Torvinen and associates (2002) also found no change in isometric leg strength at 90 degree knee angle, vertical jump height and grip strength after four minutes of incrementing 25 to 40 Hz WBV treatments. They further found no change in the mean power frequency and root mean square EMG activity for the soleus and decreases in the mean power frequency EMG for the vastus lateralis and gluteus medius muscles. Research by De Ruiter and colleagues (2003) also report no change in isometric leg strength at 110 degree knee angle or rate of force development as a result of a 30 Hz WBV frequency.

At present there appears to be a need for research on the effects of vibration on the contractile ability of skeletal muscle tissue. The aim of this study was to address this issue by examining the effects of a direct superimposed muscle/tendon vibration at 50 Hz on isometric strength characteristics and muscular activation during an isometric leg extension task. In examining the peak force, and rate of force development, along with simultaneous EMG data collection, this study provides information on the effects of vibration stimulation on isometric strength and the underlying neural activation of the musculature. The significance of this study is that it may provide substantial information on enhancing muscular strength and therefore further development of strength and power adaptations during athletic training. This knowledge also has applications in the treatment of neuromuscular disorders, muscular atrophy and rehabilitation.

Vibratory stimulation
A four kilowatt, three phase electrical induction motor (TECO Co. Ltd., Taiwan) running at 2870rpm (50 Hz) was directly coupled to a two cylinder air conditioning compressor with exposed piston faces driven by an offset cam (Motorcraft, Australia). A velcro strap was wrapped firmly around the participant's upper thigh and clear of the EMG electrodes and accelerometer collecting from rectus femoris (RF). A connecting velcro strap was anchored at one end to the face of the piston, while the other was attached to the participant's thigh to transfer vibration to the leg, see Figure 1. The output of a triaxial accelerometer was recorded by an AMLAB computer (Associative Measurement, Sydney, Australia) sampling at 1000 Hz. The data was analysed via FFT collecting 1024 data points in the last second of a five second period. Results of this collection confirmed that the system was delivering 50.42 ± 1.16 Hz at an acceleration of 13.24 ± 0.18ms^-2 with an approximate displacement of 5.0 mm.

Mechanical force measurements and analysis
Peak isometric force (N) was recorded via a load cell (Scale Components, Brisbane, Australia) anchored to the laboratory wall and attached to a cuff designed to slide onto the lower leg of the participant. Data collection was achieved via an AMLAB computer sampling at 1000 Hz for a period of five seconds. Subsequent post analysis processing was performed using custom written software developed within the Visual Basic (version 6, Microsoft Corporation, Redmond WA) programming environment. To determine all isometric force characteristics peak values of the full five second isometric contraction were established, and RFD times at 0.05, 0.01, 0.1, and 0.5 s, and RFD at 50, 75, and 90% of peak force
were calculated following the methods of Hakkinen et al., (1998). The calculation of the force data characteristics follow a standard technique used to calculate RFD values based on the first derivative of the force-time curve. The times selected also provide a continuum of values between the early (0-200 ms) and late phase (200-500 ms) of muscle contraction to highlight the accelerative and functional qualities of the muscle.

Electromyographic (EMG) data collection and analysis
The EMG signals were collected from RF muscle via silver/silver chloride (Ag/Ag Cl) surface electrodes (10mm x 30mm) (3M red dot, 3M Health Care, St.Paul, USA) with an interelectrode edge to edge distance of 5mm. Electrodes for RF were positioned on the lateral side of the pennation, 190mm proximal to the tip of the patella along the mid-line of the thigh. Electrodes were positioned as to perpendicularly dissect the fibers. A reference electrode was placed on the patella of the participant's involved limb. Prior to application the electrical impedance of the skin at the site of electrode placement was minimized using standard skin preparation techniques. All EMG cables were fastened and supported to reduce any movement artifact. Data collection was achieved via an AMLAB computer sampling at 1000 Hz for a period of five seconds. Synchronisation of EMG and force data collection was achieved via a software trigger set at 30 N of force for the isometric contractions. The EMG signals were digitally filtered with a bi-directional, band-pass, fourth-order, Butterworth filter, with a frequency between 50-350 Hz. This range was determined, using a power spectrum density analysis of the signals, so that this filter cut-off preserved the integrity of the signal while eliminating much of the electrical noise generated by the electronics of the motor (50 Hz). Custom written software developed within the Visual Basic (version 6.0, Microsoft Corporation, Redmond WA) programming environment converted the amplified raw EMG signal to a root mean square signal after transformation. Peak EMG_RMS signals were normalized and expressed as a ratio of a resting value so the average (mV) at rest (no contraction) value was divided by the peak (mV) values for the maximal trials of the vibration or no-vibration trials. The resting value recorded in the testing position was chosen as a precaution due to the 2 hour time frame between vibration and no-vibration testing conditions. Also the resting value does not change drastically, as a maximal contraction can change due to learning, motivation, and novelty in the case of an added vibration treatment to a contraction.

Experimental protocol
Participants completed two full familiarization sessions fourteen and seven days prior to the collection of all data to ensure that they were comfortable with the testing procedures. All participants performed a standardized warm-up incorporating five minutes on a cycle ergometer (Monark, Varberg, Sweden) at 60 W, followed by two minutes of static stretching of the quadriceps and hamstring muscle groups of the dominant leg (as determined by kicking preference). Participants were then asked to perform a series of graduated sub-maximal and near maximal contractions as part of the warm-up procedure. All participants performed two testing protocols separated by a two-hour rest period. Participants randomly performed either: a maximal isometric contraction under vibration or under no-vibration, see Figure 2 for a representative trial of this data. Participants were positioned in a dynamometer chair with straps anchored across the chest and waist. A cuff anchored to the laboratory wall was placed on the lower leg of the participant and adjusted such that the knee, whist performing knee extension, was held in a position of 120° flexion (Marcora and Miller, 2000).

Each participant initially performed a normal isometric contraction to establish peak isometric force and muscle activation for the test session. Force data from this initial contraction was compared with that collected in the final familiarization session to establish the reliability of the measure using intra-class correlation (ICC) and technical error of measurement percentage (TEM%) calculations. The peak MVC of the familiarization trial on day seven and the peak MVC trial on the day of the testing produced an ICC = 0.88 and TEM% = 7.74%, respectively.

Statistical analysis
Mean ± standard deviation data was presented for all subject characteristics. Statistical analysis involved a one-way analysis of variance (ANOVA) comparing vibration and no-vibration conditions for peak isometric force, peak normalized EMG_RMS, and peak rate of force development, rate of force development at times 0.05, 0.01, 0.1, and 0.5 s, and rate of force development at 50, 75, or 90% of peak force. Statistical significance was accepted at or below 0.05.

• The application of a vibratory stimulation to the human body increases the normal acceleration resulting in an increase in force and a change in performance
• This study was to address this issue by examining the effects of a direct superimposed muscle/tendon vibration at 50 Hz on isometric strength characteristics
• No improvement or change in isometric force or rate of force development
• No changes to peak normalized EMG_RMS values