Can Random Signal and Noise (Stochastic Resonance) Improve Human Function and Athletic Performance?

>> November 26, 2016

For this unique topic, the best for me to start is by explaining how vibration can improve athletic performance.

I think that the Soviet coaches and scientists were the first to use vibration as a means to improve functional movements or even athletic performance. This could be traced back in the 1960s, when coaches in the Eastern Bloc started to use "contraction" type exercises such as oscillation training in their training ("secretly") to gain performance advantage in different circumstances (e.g. rehabilitation, normal training, conditioning).

Oscillation training involves a powerful muscular contraction, which enhances muscular strength and power. So this is basically sort of "vibrating the muscle" areas under tension (loaded) you wish to develop, or so.

Fast forward, in the 1980s, Vladimir Nazarov assessed the feasibility of vibration to maintain strength and muscle mass among cosmonauts. The reason for this was when in space, the reduced gravitational force might affect bone density, strength, and muscle mass. As a result, cosmonauts might be susceptible to having bone fractures, muscle atrophy, and weakening of strength very quickly upon returning to earth.

It is not practical to have "gym" in space and what can possibly be done is to use vibration for the said purposes. This way the duration of stay in space could be extended as well.
The commercially available vibratory platforms, and their types of vibration, from left: Power Plate (sine wave), Galileo (sine wave), and SRT (stochastic resonance)

Effects of vibration on performance


Vibration has been used to elicit a stretch reflex in the muscles in order to "potentiate" the following performance. Of note, any preconditioning stimulus (such as using heavy resistance as well as vibration) could have the potential to improve subsequent tasks (performance). This is called "post-activation potentiation".

More recently, a training study provided evidence supporting the suitability of vibration training (Perez-Turpin et al., 2014). The authors described its effectiveness that provided rapid gains in performance, more than conventional training (i.e. increased leg strength and jump performance in 6 weeks).

According to the authors ... activation of muscle spindles from vibration could stimulate alpha motor neurons and promote stretch reflexes. They further clarified that long-term vibration training gained via neural adaptation was similar to the effects of resistance training, that is the enhancement of motor unit firing, motor unit synchronization, synergist muscle contraction, antagonist muscle inhibition, and adaptation of the reflex response.

They postulated that strength increases following vibration training are of hormonal modulation (ie. changes), that is essential for muscle hypertrophy and force production.

Stochastic resonance vibration 

Basically, there are two main types of vibration: sinusoidal and stochastic resonance vibration (see "vibratory platforms" above).

The sinusoidal has a constant vibration frequency, which distinguishes its "character" from stochastic resonance, which has random vibration frequencies.

Most of (if not all?) the previous studies investigating vibration and performance (jump, power, speed, sprint, agility, strength, etc.) have used the sinusoidal type vibration.
This Image shows Sine Wave-type vibration; the repetition of each vibration shows a linear combination of Sinusoidal waves in harmonic motion

This Image shows the noise and signal of Stochastic Resonance
However, the nature of the sine wave is that the stimulus is constant and therefore, predictable by the body. This is not collateral with training aims that appreciate the idea of progressive overload and variety in order to create a new stimulus required for improvement.

The fact is that humans can easily habituate (or adapted) with constant information or stimulus!

In contrast, stochastic resonance is a phenomenon in which noise is added to improve response, through vibration. The generated vibration contains random noise, which can promote unpredictable stimulus (i.e. random signal and noise), and as a result, will increase sensory sensitivity. In short, the cells are more easily excited under stochastic conditions.
Vibratory Shoe Insoles... "Stochastic resonance was delivered to the soles of the feet via controlled vibratory stimuli. Vibrations were generated by piezo-electric actuators mounted within the insoles and driven by a control unit (black box) secured to the outside top of the shoe "...Junhong Zhou et al., 2016.
The potential use of stochastic resonance training to improve athletic performance

To date, stochastic resonance is mostly used in a rehabilitation setting, such as restoration of normal functions of patients (stroke, Parkinson disease, etc.) and musculoskeletal pains - back, knee, neck, shoulder, arm, ankle, foot, and hip (see Elferig et al., 2011).

Stochastic resonance vibration has also been used to improve postural control in the older adult using 'vibratory shoe insole' (see above), apart from enhancing the perception of information essential to support motor performance, while offsetting a reduced sensory sensitivity through injury, aging and so on (see Davids et al., 2004).

Bear in mind that our body has a certain level (threshold) of detection capability and this is influenced by various factors (aging, injury etc.).

Aging people are synonymous with aging-associated diseases, illnesses, and injuries. With aging as well, sensations may be changed, which is increased weak sensory signals, which in turn, decrease detection capability.

Hence, stochastic resonance can be exploited in order to increase the detection capability (i.e. it adds up to the body's existing or present signal, that is weak due to, for example, injury/aging).

The "noise" can be mistakenly understood as the perturbation (i.e. undesirable), but the stochastic resonance should be viewed as "essential noise," see below.

In order to improve the transmission of neural signals (and detection capability), the noise must be optimal, not too high, and not too weak. If the noise is too strong for example, it cannot be discriminated against the"general noise."
Stochastic resonance is observed in added random noise (optimal/good), in contrast to high noise (detrimental)
From the above, it seems that the perception of information can be increased by the noise as a result of sensitization of the weak sensory signal (sub-threshold signal), which could have potential in sports performance settings.

If the detection capability can be amplified by an added signal to improve human function; it certainly has the potential to improve certain areas of sports performance. German scientists and athletes have been trying to utilize stochastic resonance to improve sports performance (watch SRT Zeptor Vibration Training below; SRT = stochastic resonance training/therapy).


In addition, if vibration can be used to potentiate or improve athletic performance, a combination of vibration and random noise (i.e. stochastic resonance) for athletic performance enhancement seems promising.

Further research is necessary to understand its roles for performance enhancement (e.g. jumping, strength, and speed) and in which way it can be utilized to improve training quality.

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How to Improve Sprint Performance Using Strength Training?

>> November 16, 2016

Strength is a fitness component that crucial for sports requiring high-speed and short term effort. This includes sprinting on the track (athletics) and on the field (rugby, soccer, etc.)

Greater muscular strength can improve the ability to produce power and rate of force development (RFD), which are prerequisites for enhancing sprint performance.

Power and RFD are the qualities that clearly separate between sprinters of different sprinting ability levels.

Interestingly, a recent review also suggests that having a sufficient strength level may also helpful for injury prevention.

Furthermore, one must consider an appropriate strength development in order to maximize its transfer into sports performance. Good programming is, therefore, necessary (this requires another thread of discussion!).

Regardless of training strategies (periodization), the force-velocity curve must be understood, which is the relationship between velocity and force that can determine the selection of load intensity and exercise. Thus, several strength qualities need to be considered by a coach when developing a sprinter, as follows:

a) Basic strength
Associated with an increased ability to produce force. Basic strength can be developed all year round although some weeks (microcycle) or months (mesocycles) may not the number one priority.
Examples of basic strength development for sprinters as follows:

Reps: 5-8 reps
Sets: 3-4 sets
Percent: 85-90%
tempo: Fast contraction
Exercises: Power clean, back squat, bench press

b) Maximal strength
Similar to basic strength, performed as the progress of basic strength. The goal of maximal strength training is to improve the ability of muscles to produce high force production, which is necessary to improve high-level power and RFD. The key when performing maximal strength is executing "high contraction velocity" (felt like as performing fast movement) during the lifting, against a very high external load.

Reps: 2-4 reps
Sets: 4-6 sets
Percent: 90-95%
Tempo: Fast contraction
Exercises: Power clean, half squat, bench press

c) Strength-speed
The goal in strength-speed exercise is to perform the exercise as fast as possible, against a heavy load. This should be utilized after completing a phase when maximal strength was the focus.

Reps: 5-6
Sets: 3-4
Percent: 70-80%
Tempo: Fast contraction
Exercises: Power clean, half squat, bench press

d) Speed-strength / explosive strength
The goal in speed-strength exercise is to perform the exercise as fast as possible, against a lighter load. The key when performing speed-strength is "vigorous extension" of joints (or extremely fast action). This strength quality must be considered in order to develop a powerful athlete (sprinter).

Reps: 6-8
Sets: 3-5
Percent: 20-30%
Tempo: Fast contraction
Exercises: Countermovement clean, jump squats, hang snatch, arm swing with a light load

e) Reactive strength
This is another priority when developing a sprinter. Reactive strength is the ability to change quickly from eccentric to concentric, or stretch-shortening cycle. Having a good reactive strength is associated with the ability to produce high force within a short period. In sprinting, the higher force one develops within 100 milliseconds (typical ground contact during late acceleration, as an example) the better (faster) the athlete. Hence, improving reactive strength can enhance rebound performance or fast ground contact - and sprint performance.

Reps: 6-10 
Sets: 3-4
Percent: Bodyweight or with very lightweight
Tempo: Fast contact on the ground
Exercises: drop jump, bounding

Read more about explosive and reactive strength here.

Meanwhile, specific strength development (e.g. sled pulling, hill run, etc.) must also be considered in order to maximize the transfer of strength into functional power, which are crucial for sports performance. However, this is another topic that requires another post.

One commonly asked question in strength development is related to how much load one must lift in order to be deemed sufficient, particularly for sprinting.

A quick answer is "depend on sports". Broadly speaking, one who has a relative strength value of 2.00 in the back squat is considered "strong" and able to take advantage of optimized the potentiation effect.

In layman, stronger athletes can be more powerful and sprint faster.

Meanwhile, exercise selection can be determined by understanding the segment of force-velocity interaction. Some exercise is high-velocity in nature and some others can be customized to be high-velocity or force based on training goals, or desired adaptations.

a) High-velocity exercise (low load) - jump squat, drop jump, power hurdling, assistance (band) training

b) High-force exercise (high load) - deadlift, back squat, power clean, overhead press

c) High-velocity or high-force exercise (customizable) - power clean, power clean, snatch, overhead press

Practically speaking, one can enhance power production by improving either force or velocity, or both.

Read more...

Results Malaysia Open Track and Field 2016

>> October 02, 2016

Kuala Lumpur, 30 Sep - 2 Oct 2016 "93rd Malaysia Open Track and Field Championships"
-at University of Malaya
-first three (Day 3 - 2 Oct)

MEN
200m (-0.9)
1. Khairul Hafiz Jantan 21.10
2. Aravinn Thevar Gunasegaran 21.14
3. Jonathan Nyepa 21.18
4. Badrul Hisyam Abdul Manap 21.24

400m
1. Karim Yousef (KUW) 47.57
2. Mohd Shahmimi Azmi 48.24
3. Muhd Saiful Safban Saifuddin 48.32

400m Hurdles
1. Saleem Hamid (KUW) 51.70
2. Francis Medina (PHI) 52.82
3. Muhd Farhan Hafzam 53.46

High Jump
1. Lee Hup Wei 2.16
2. Norshafiee Mohd Shah 2.13
3. Prakash Krishnan 2.10

Long Jump
1.  Mohd Muslim Md Nazri 7.48
2. Luqman Hakim Ramlan 7.26
3. Mohd Shahrin Azuan Jamaika 7.20

10,000m W
1. Lo Choon Sieng 1:37:15.47
2. Irfan Hanania Abdul Sharir 1:45:13.28
3. Mior Muhammad Amerul 1:47:08.46

4x400m
1. Kuwait Team 3:17.08
2. Sabah Team 3:17.59
3. Johor Team 3:33.26


WOMEN
200m (-1.3)
1. Komalam Shally Selveratnam 24.26
2. Zaidatul Husniah Zulkifli 24.36
3. Siti Fatimah Mohamad 24.57

400m
1. Nurul Faezah Asma Mazlan 54.73
2. Tanalaksiuma Reyer 57.36
3. Fatin Faqihah Yusuf 57.51

1500m
1. Savinder Kaur 5:00.33
2. Puspa Letchumy 5:05.84
3. Ng Yew Cheo (SIN) 5:36.49

5000m
1. Noor Amelia Musa 19:21.60
2. Ainur Shafiqah Azmi 20:13.20
3. Salesnella Gabi 20:13.56

400m Hurdles
1. Saidatul Izzaty Suhaimi 61.93
2.  Noor Shila Idris 66.89
3. Kerstin Ong (SIN) 67.68

Pole Vault
1. Chuah Yu Tian 3.60
2. Asmah Hanim (SIN) 3.20
3. Leong Wen Jun (SIN) 2.60

Heptathlon
1. Norliyana Kamaruddin 4913
(15.73, 1.75, 11.82, 26.87;5.38, 32.33, 2:30.12)
2. Narcisa Atienza (PHI) 4369
(15.39, 1.66, 12.18, 28.00 4.96, 39.56, 3:12.11)
3. Jasmeen Johan 3238
(16.93, 1.39, 6.36, 28.44; 4.80, 19.62, 2:51.07)

4x400m
1. Armed Forces Team 4:17.49
2. Sabah Team 4:31.44
3. PDRM Team 4:47.16


Medal Tally
ATM Team 16G, 7S, 6B = 29
Kuwait Team 8G, 2S, 0B = 10
Thailand Team 3G, 3S, 1B = 7
Sabah Team 2G, 4S, 3B = 9
Kuala Lumpur Team 2G, 4S, 1B = 7

Read more...

Results Malaysia Open Athletics Championships

>> October 01, 2016

Kuala Lumpur, 30 Sep - 2 Oct 2016  "93rd Malaysia Open Track and Field Championships"
-at University of Malaya
-first three (Day 2 - 1 Oct)

MEN
800m
1. Raymond Yew 1:52.85
2. Asif Rahman Jiyaudeen 1:53.71
3. Kesavan Maniam 1:53.86

5000m
1. Prabudass Krishnan 15:24.64
2. Thevan Rajoo 15:26.73
3. Sivaneshwaran Gunasegaran 16:05.96

3000m Sc
1. Ahmad Luth Hamizan 9:47.07
2. Royson Vincent 9:52.98
3. Amirul Hakim Johari 10:11.82

110mh
1. Atyouha Yaqoub (KUW) 13.83 (meet record)
2. Rayzam Shah Wan Sofian 14.07
3. Mohd Rizzua Haizad 14.44

Pole Vault
1. Porranot Purahong  (THA) 5.10
2. Alsbaga Ali (KUW) 5.00
3. Iskandar Alwi 4.80

Discus Throw
1. Zankabi Eisa (KUW) 56.09
2. Abdul Rahman Lee 43.83
3. Muhammad Hafifi Najiy Ali 43.62

Hammer Throw
1. Jackie Wong Siew Cheer 64.42
2. Michael Sia Sung Dak 53.14
3. Johnny Ling Siew Hong 48.38

Decathlon
1. Alzied Majed (KUW) 6836
(11.79, 6.80, 11.02, 1.82, 49.82 / 15.63, 35.26, 4.40, 45.88, 4:27.85)
2. Suttisak Singkok (THA) 6699
(11.21, 7.34, 13.11, 1.91, 50.47 ; 15.41, 26.42, 3.90, 51.74, 5:30.05)
3. Mohd Luqman Mohammad Zuki 6097
(11.52, 6.28, 10.92, 1.79, 51.61 / 15.80, 34.88, 4.20, 37.57, 5:28.51)

4x100m
1. Melaka Team 40.57
2. Kuwait Team 41.38
3. Brunei Team 41.44 (NR)


WOMEN
800m
1. Savider Kaur 2:13.47
2. Teoh Kim Chyi 2:21.02
3. Faradilah Raznie 2:29.14

3000m Sc
1. Salesnella Gabi 12:25.20
2. Ainur Shafiqah Azmi 12:39.87
3. Farah Mohd Johari 16:13.63

100m H
1. Raja Nursheena Raja Azhar 14.40
2. Suchada Measri (THA) 14.44
3. Padtamaban Riyaphn (THA) 15.13

Long Jump
1. Noor Shahidatun Nadia Mohd Zuki 5.95
2. Nurul Fatimatul Zhara Awang 5.53
3. Mahira Hanis Ishak 5.33

Discus Throw
1. Yap Jeng Tzan 46.12
2. Connie Chong Kang Ni 44.90
3. Queenie Ting Kung Ni 40.00

Hammer Throw
1. Grace Wong Xiu Mei 55.54
2. Panwat Gimsrang (THA) 55.28
3. Nurfazira Jalaluddin 51.28

10000m W
1. Elena Goh Ling Yin 53:41.63
2. Pua Ling En 54:49.69
3. Nurul Alya Haziqah 55:37.08

4x100m
1. ATM Team 45.90
2. Sabah Team 49.64
3. Johor Team 50.51


Read more...

Results 93rd Malaysia Open Athletics Championships 2016

>> September 30, 2016

Nothing very special today at the first day (30 Sep) of 93rd Malaysia Open Championships in UM Stadium, Kuala Lumpur except the performance of a thrower from Kuwait who threw a meet record of 19.54m in men's shot put. Jonathan Nyepa (10.53s) and Komalam Shally (11.87s) became the sprint king and queen, respectively. This edition's National championships saw 17 local teams (MAF affiliates) took part with several other athletes from Thailand, the Philippine, Brunei, Singapore, Kuwait, and India also present. First three results:

MEN
100m (-1.3)
1. Jonathan Nyepa 10.53
2. Badrul Hisyam Abdul Manap 10.61
3. Haiqal Hanafi 10.68

10000m
1. Thevan Rajoo 32:30.8
2. Sivaneshbaran Gunasegaran 34:07.1
3. Oy Yong Jin Kuang 34:44.4

Triple Jump
1. Alsobai Khaled (KUW) 15.34
2. Jonathan Larus 15.32
3. Nazri Mustafa 14.68

Shot Put
1. Mohammad Meshri (KUW) 19.54 meet record
2. Faris Hazim Jamaluddin 14.44
3. Mod Hafiz Hashim 14.04

Javelin Throw
1. Mohd Bakri Hamid 61.59
2. Muhammad Ashraf 58.37
3. Raphael Asun 56.86

WOMEN
100m (-1.7)
1. Komalam Shally 11.87
2. Siti Fatimah Mohamad 11.97
3. Zaidatul Husniah 12.13

10000m
1. Annie Yee Pee Ni 43:53.0
2. Pavitra Das 44:45.7
3. Ng Yew Cheo (SIN) 44:49.4

High Jump
1. Wanida Boonwan (THA) 1.74
2. Yap Sean Yee 1.74
3. Nurul Falena Gunasekara 1.59

Triple Jump
1. Rochelle Maria (IND) 12.78
2. Kirthana ramasamy 12.74
3. Nurul Ashikin Abas 12.14

Javelin Throw
1. Jariya Bichaidit (THA) 48.74
2. Fatin Nur Shahiera 41.95
3. Rosie Villarito (PHI) 41.30








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Results Atletik Pekan Olahraga Nasional 2016

>> September 22, 2016

West Java, Bandung, 22-25 Sep 2016 "XIX Pekan Olahraga Nasional – 19th Indonesian National Games 2016
-first three results as follows;

MEN 

100m  (22)
1. Yaspi Boby 10.36
2. Fadlin 10.43
3. Iswandi 10.46

200m (23) / +0.6
1. Yaspi Boby 21.02
2. Fadlin 21.18
3. Heru Astriyanto 21.26

400m (24)
1. Fuad Ramadhan 47.58
2. Hery Astriyanto 47.76
3. Muhammad Lukman Jai 47.83

800m (23)
1. Budiman Holle 1:51.43
2. Ridwan 1:51.81
3. Kaharuddin 1:52.31

1500m (25)
1. Ridwan 3:54.05
2. Kaharuddin 3:54.06
3. Budiman Holle 3:54.92

5000m (23)
1. Agus Prayogo 14:54.03
2. Nurshodiq 14:59.59
3. Wahyuni Putra 15:13.82

10000m (25)
1. Agus Prayogo 10:23.98
2. auhari Johan 31:36.81
3. Nurshodiq 31:41.41

110m hurdles (24) / +0.4
1. Rio Maholtra 14.23
2. Ricky Wibowo 14.95
3. Edy Jakariya 14.98

400m hurdles (23)
1. Andrian 51.83
2. Iwan Budianto 51.97
3. Budi Ahmad Prayoga 52.32

High Jump (25)
1. Fizky Ghusyafa Pratama 2.08
2. Hariadi Hidayat 2.00
3. Guntur Ibrahim 2.00

Long Jump (22)
1. Suwandi 7.60
2. Noval Kurniawan 7.43
3. Rikwan Welerubun 7.33

Triple Jump (24)
1. Sapwaturrahman 15.74 / +0.6
2. Asril Abdullah Kadir 15.41 / +0.1
3. Suwandi 15.02 / -0.5

Shot Put (25)
1. Krisna Wahyu 15.48
2. Yuaris Diyanto 15.07
3. Nanang Fahmi 14.99

Hammer Throw (22)
1. Ardiansah Apandi 52.28
2. Dudung Suhendi 51.14
3. Tri Suhartomo 49.79

Javelin Throw (22)
1. Agustinus Mahuse 68.81
2. Agustinus Ndiken 67.65
3. Abdul Hafiz 64.61

10000m Walk (22)
1. Hendro 44:49.20
2. Indra Abdul Kadir 45:09.29
3. Kristian L. Tobing 46:56.67

4x100m (25)
1. Nusa Tenggara Barat 39.78
(Sudirman Hadi, Iswandi, Fadlin, Sapwaturrahman)
2. Jawa Timur 40.02
(Burhan Wardhani, Muhammad Rozikin, Yudi Dwi Nugroho, Heru Astriyanto)
3. Jawa Barat 40.34
(Farrel Octaviandi, Muhammad Patoniah, Farhan Hafidhn Nurseha, Muhammad Apriansyah)


WOMEN

100m (22)
1. Tri Setyo Utami 11.97
2. Lusiana Satriani 11.98
3. Neli Susanti 12.02

200m (23) / -0.6
1. Tri Setyo Utami 24.62
2. Dewi Ayu Agung 24.71
3. Sri Maya Sari 24.93

400m (24)
1. Sri Maya Sari 54.46
2. Gusti Ayu Mardili 55.16
3. Dewi Ayu Agung 55.55

800m (23)
1. Rini Budiarti 2:12.62
2. Lismawati Ilang  2:14.99
3. Bektiningsih Prima 2:15.55

1500m (25)
1. Rini Budiarti 4:29.05
2. Pretty Sihite 4:32.80
3. Yulianti Utari 4:33.37

5000m (22)
1. Rini Budiarti 17:01.60
2. Triyaningsih 17:10.48
3. Yulianti Utari 17:38.31

10000m (24)
1. Triyaningsih 35:28.18
2. Olivia Sadi 36:23.39
3. Yanita Sari 36:33.58

100m hurdles (24) / 0.0
1. Emilia Nova 13.35
2. Dedeh Erawati 13.58
3. Rohani 14.14

400m hurdles (23)
1. Alvin Tehupeiory 60.72
2. Rama Januarti 61.27
3. Dakwatul Anisah 61.35

High Jump (22)
1. Nadia Anggraini 1.78
2. Ika Puspa Dewi 1.73
3. Ni Kadek Hendrawati 1.65

Pole Vault (23)
1. Jelita Nara Idea 3.75
2. Ni Putu Desi Margawati 3.60
3. Dinda Wahyuni 3.60

Long Jump (23)
1. Maria Natalia Londa 6.36 / 0.0
2. Rini Susanti 5.88 / 0.0
3. Ika Pusps Dewi 5.83 / -0.6

Triple Jump (25)
1. Maria Natalia Londa 13.52 / +0.8
2. Ika Puspa Dewi 13.06 / +0.2
3. Rini Susanti 12.46 / +1.5

Discus Throw (25)
1. Sulastri 45.29
2. Tresna Puspita Gusti 43.67
3. Dwi Ratnawati 43.11

Hammer Throw (23)
1. Rose Herlinda Inggriani 51.20
2. Tresna Puspita G. 48.88
3. Nia Mailani Usnia 48.28

Javelin Throw (24)
1. Dian Kartika Ratnawati 43.76
2. Sri Umi Utami 41.52
3. Elfata Nurul Niaaa 40.75

4x100m (25)
1. Jakarta 46.07
(Yuliana, Irene Alisjahbana, EMilia Nova, Dedeh Erawati)
2. Jawa Timur 46.34
(Niafatul Aini, Tri Steyo Utami, Eka Cahaya Ningram, Fitria Indah Wahyuni)
3. Nusa Tenggara Barat 46.99
(Endang Agus Astriana, Rostinah, Fifit Mrlena, Neli Susanti)

Tri Setyo Utami (right) won women's 100m final in 11.97



Courtesy of Persatuan Atletik Seluruh Indonesia
Photo by organiser

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Track and Field Results ASEAN University Games 2016 - Day 4

>> July 18, 2016

Singapore, 14 - 17 July 2016 "18th ASEAN University Games"
-multi-sports event, best results (DAY 4) as follows;

DAY 1 - DAY 2 - DAY 3

MEN

1500m (17)
1. Jomar Angus PHI 3:59.47
2. Elbren Neri PHI 3:59.51
3. Ahmad Luth Hamizan MAS 4:00.03
4. Kesavan maniam MAS 4:12.58
5. Henry MYA 4:33.07
6. Onesio da Silva TLS 4:37.28

10000m (17)
1. Le Van Thao VIE 31:49.07
2. Nurshodiq INA 31:58.26
3. Syavanath Thamavongchith LAO 33:31.75
4. J. Soundararajah SIN 34:05.87
5. Patrick MYA 34:59.11
6. Mahathir Hyder Ali MAS 35:04.87
7. Soh Wai Ching MAS 35:22.59
8. Fabian Ng SIN 35:22.73
9. Htoo Naing Lwin MYA 36:41.21

Pole Vault (17)
1. Porranot Purahong THA 5.20
2. Iskandar Alwi MAS 5.05
3. Eko Wasaksono INA 4.60
4. Aaron Koh SIN 4.40
5. Poh Wen Jie SIN 4.20

Shot Put (17)
1. Adi Alifuddin Hussin MAS 16.33
2. Thwat Kachin THA 16.15
3. Mohamad Alif Hanif Mohd Afandi MAS 14.07
4. Phan Than Binh VIE 13.46
5. Bryan Jay Pacheco PHI 12.77
6. Lilan Silisack LAO 12.73

4x400m (17)
1. Thailand Team 3:14.85
(Jaran Saathoengram, Apisit Chamsri, Nattapong Khanom, Jirapong Meenapra)
2. Indonesia Team 3:!5.25
(Rio Maholtra, Andrian, Epang Nofi Suhartyo, Hamdan Umar)
3. Malaysia Team 3:15.89
(Mohd Fairol Nazim Mohd Noor, Kwong Kar Jun, Anchois Aron, Kannathasan Subramaniam)


WOMEN

1500m (17)
1. Nguyen Thi Oanh VIE 4:34.10
2. Afriana Paijo INA 4:45.63
3. Sharmila Sivakumar MAS 4:50.25
4. Janielle Lim SIN 5:02.75
5. Mariquez dos Santos TLS 5:08.29
6. Nik Norzilawatie Nik Wil MAS 5:12.68

Long Jump (17)
1. Noor Shahidatun Nadia Mohd Zuki MAS 5.95/-0.4
2. Tran Hue Hoa VIE 5.70/0.0
3. Manivanh Chanthavong LAO 5.17/0.0

Discus Throw (17)
1. Subenrat Insaeng THA 56.37
2. Choo Kang Ni MAS 44.24
3. Paosavad Phonexai LAO 35.82

4x400m (17)
1.Vietnam Team 3:47.66
(Nguyen Thi Oanh/20, Nguyen Thi Oanh/21, Do Thi Quyen, Hoang Thi Ngoc)
2. Thailand Team 3:47.67
(Supawan Thipat, Atchima Eng-Chuan, Thanphimon Kaeodi, Jutamas Khonkham)
3. Indonesia Team 3:50.43
(Nurainum Angin, Agustina Manik, Eka Cahaya Ningrum, Sri Rahayu Mayasari)

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Results Athletics AUG 2016 - Day 3

>> July 17, 2016

Singapore, 14 - 17 July 2016 "18th ASEAN University Games"
-multi-sports event, best results (DAY 3) as follows;

DAY 1 - DAY 2 - DAY 4

MEN

400m (16)
1. Luong Van Thao VIE 47.40
2. Apisit Chamsri THA 47.99
3. Mohamad Arif Mohd Alet MAS 48.08
4. Tan Zong Yang SIN 48.93
5. Michael del Prao PHI 49.21
6. Hamdan Umar INA 49.24
7. Anhois Aron MAS 49.68

Long Jump (16)
1. Sapwaturrahman INA 7.50/-1.7    (1.70/-1.7, X, 7.46/+0.4, X, X)
2. Janry Ubas PHI 7.50/+0.6     (7.08/0.0, 7.32/+2.3, 7.44/+1.9, 7.31/+0.9, 7.50/+0.6, 7.18/-1.7)
3. Nguyen Van Cong VIE 7.41/+0.4
4. Pichaed Taruearak THA 7.38/+3.1 (7.16/+0.7)
5. Spmpoth Vongpkakdy LAO 7.22/0.0
6. Khan Meng Linn SIN 7.03/+1.8

Javelin Throw (16)
1. Peerachet Jantra THA 74.29   (68.59 67.69, 66.65, 74.29, 69.74, 72.62)
2. Abdul Hafiz INA 66.51
3. Kenny Gonzales PHI 61.77
4. Bryan Jau Pacheco PHI 60.81 (next 59.15)
5. Raphael Asun MAS 60.81 (next 56.72)
6. Mitsavanh Vonevichit LAO 54.77

4x100m (16)
1. Thailand Team 40.41
(Autsadawut Khawhunthong, Jirapong Meenapra, Jaran Sathoengram, Nutta Weeravongratanasiri)
2. Indonesia Team 40.52
(Baru Kertanegara, Muhammad Dimas Supriyanto, Iswandi, Sapwaturrahman)
3. Malaysia Team 40.98
(Anchois Aron, Jonathan Nyepa, Harith Ammar Mohd Sobri, Kannathasan Subramaniam)
4. Singapore Team 41.19
(Ignatius Tan, Calvin Kang, Christopher Barley, Timothee Yap)
5. Laos Team 42.02
(Sengsomphone Thongkhamhan, Anousone Xaysa, Aksonesath Ratvong, Nanthavath Khentan One)


WOMEN

400m (16)
1. Hoang Thi Ngoc VIE 54.65
2. Sri Mayasari INA 55.38
3. Nurul Faizah Azma Mazlan INA 55.38
4. Agustina Manik INA 57.84
5. Tanalaksiumy Mahinthiran Reyer MAS 58.58

10,000m (16)
1. Pham Thi Hue VIE 38:07.22
2. Juventina Napoleao TLS 41:08.50
3. Neo Hoon Suan SIN 42:30.03
4. Heng Mey Jou CAM 43:45.92
5. Tun Hlaing Hlaing MYA 46:49.27

High Jump (16)
1. Duong Thi Viet Anh VIE 1.82
2. Yap Sean Yee MAS 1.79
3. Nguyen Thi Hoai Ni VIE 1.76
4. Krobkaew Taemsri THA 1.70

4x100m (16)
1. Thailand Team 46.06
(Supawan Thipat, Chairek Phensri, Wanwisa Kongthong, Atchima Eng-Chuan)
2. Indonesia Team 46.80
(Yuliana, Irene Alisjahbana, Emilia Nova, Eka Cahaya Ningrum)
3. Malaysia Team 46.99
(Raja Nursheena Raja Azhar, Zaidatul Husniah Zulkifli, Nurul Faizah Asma Mazlan, Zaidatul Husna Zulkifli)
4. Vietnam Team 47.09
(Duong Thi Viet Anh, Do Thi Quyen, Hoang Thi Ngoc, Nguyen Thi Oanh)

Read more...

ASIAN LEADERS (Men)

To be updated

STATISTICS

STATISTICS

ASIAN LEADERS (Women)

To be updated

Statistics


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