Ìtọ́kasí Ìmọ̀-ẹ̀rọ & Àwọn Fọ́múlà
Ìṣiṣẹ́ Mathematics Kíkún
Ìtọ́sọ́nà Ìṣiṣẹ́
Ojú-ìwé yìí ń pèsè àwọn fọ́múlà tí a lè ṣe àdàkọ àti àwọn ọ̀nà ìṣirò tí ó lọ ní ìgbésẹ̀-síní-ìgbésẹ̀ fún gbogbo àwọn ìwọ̀n SwimAnalytics. Lo wọ́n fún àwọn ìṣiṣẹ́ aláìlẹ́gbẹ́, ìfìdímúlẹ̀, tàbí òye jinlẹ̀ sí i.
⚠️ Àwọn Àkíyèsí Ìṣiṣẹ́
- Gbogbo àwọn àkókò yẹ kí ó di yíyí padà sí ìṣẹ́jú-àáyá fún àwọn ìṣirò
- Iyara wíwẹ́ jẹ́ ìdápadà (% tí ó ga jù = iyara tí ó lọra jù)
- Máa ṣe ìfìdímúlẹ̀ àwọn input fún àwọn ìwọ̀n tí ó tọ́
- Ṣàkóso àwọn ọ̀ràn igun (pípin pẹ̀lú òdo, àwọn iye òdì)
Àwọn Ìwọ̀n Ìṣesí Ìpìlẹ̀
Critical Swim Speed (CSS)
Fọ́múlà:
CSS (m/s) = (D₂ - D₁) / (T₂ - T₁)
CSS Pace/100m (ìṣẹ́jú-àáyá) = (T₄₀₀ - T₂₀₀) / 2
🧪 Ẹ̀rọ Ìṣirò Ìbáṣepọ̀ - Dán Fọ́múlà Wò
Iyara CSS fún 100m:
1:49
Àwọn ìgbésẹ̀ ìṣirò:
CSS (m/s) = (400 - 200) / (368 - 150) = 0.917 m/s
Pace/100m = 100 / 0.917 = 109 seconds = 1:49
CSS (m/s) = (400 - 200) / (368 - 150) = 0.917 m/s
Pace/100m = 100 / 0.917 = 109 seconds = 1:49
Ìṣiṣẹ́ JavaScript:
function calculateCSS(distance1, time1, distance2, time2) {
// Convert times to seconds if needed
const t1 = typeof time1 === 'string' ? timeToSeconds(time1) : time1;
const t2 = typeof time2 === 'string' ? timeToSeconds(time2) : time2;
// Calculate CSS in m/s
const css_ms = (distance2 - distance1) / (t2 - t1);
// Calculate pace per 100m in seconds
const pace_per_100m = 100 / css_ms;
// Convert to mm:ss format
const minutes = Math.floor(pace_per_100m / 60);
const seconds = Math.round(pace_per_100m % 60);
return {
css_ms: css_ms,
pace_seconds: pace_per_100m,
pace_formatted: `${minutes}:${seconds.toString().padStart(2, '0')}`
};
}
// Example usage:
const result = calculateCSS(200, 150, 400, 368);
// Returns: { css_ms: 0.917, pace_seconds: 109, pace_formatted: "1:49" }
Swim Training Stress Score (sTSS)
Fọ́múlà Kíkún:
sTSS = (IF³) × Duration (wákàtí) × 100
IF = NSS / FTP
NSS = Àp apọ̀ Ìjìnnàsí / Àpapọ̀ Àkókò (m/min)
🧪 Ẹ̀rọ Ìṣirò Ìbáṣepọ̀ - Dán Fọ́múlà Wò
sTSS Tí A Ṣe Ìṣirò:
55
Àwọn ìgbésẹ̀ ìṣirò:
NSS = 3000m / 55min = 54.5 m/min
FTP = 100 / (93/60) = 64.5 m/min
IF = 54.5 / 64.5 = 0.845
sTSS = 0.845³ × (55/60) × 100 = 55
NSS = 3000m / 55min = 54.5 m/min
FTP = 100 / (93/60) = 64.5 m/min
IF = 54.5 / 64.5 = 0.845
sTSS = 0.845³ × (55/60) × 100 = 55
Ìṣiṣẹ́ JavaScript:
function calculateSTSS(distance, timeMinutes, ftpMetersPerMin) {
// Calculate Normalized Swim Speed
const nss = distance / timeMinutes;
// Calculate Intensity Factor
const intensityFactor = nss / ftpMetersPerMin;
// Calculate hours
const hours = timeMinutes / 60;
// Calculate sTSS using cubed intensity factor
const stss = Math.pow(intensityFactor, 3) * hours * 100;
return Math.round(stss);
}
// Example usage:
const stss = calculateSTSS(3000, 55, 64.5);
// Returns: 55
// Helper: Convert CSS to FTP
function cssToFTP(cssPacePer100mSeconds) {
// FTP in m/min = 100m / (pace in minutes)
return 100 / (cssPacePer100mSeconds / 60);
}
// Example: CSS of 1:33 (93 seconds)
const ftp = cssToFTP(93); // Returns: 64.5 m/min
SWOLF
Fọ́múlà:
SWOLF = Àkókò Lap (ìṣẹ́jú-àáyá) + Iye Stroke
SWOLF₂₅ = (Àkókò × 25/Gígùn Pool) + (Strokes × 25/Gígùn Pool)
🧪 Ẹ̀rọ Ìṣirò Ìbáṣepọ̀ - Dán Fọ́múlà Wò
Àmì SWOLF:
35
Ìṣirò:
SWOLF = 20s + 15 strokes = 35
SWOLF = 20s + 15 strokes = 35
Ìṣiṣẹ́ JavaScript:
function calculateSWOLF(timeSeconds, strokeCount) {
return timeSeconds + strokeCount;
}
function calculateNormalizedSWOLF(timeSeconds, strokeCount, poolLength) {
const normalizedTime = timeSeconds * (25 / poolLength);
const normalizedStrokes = strokeCount * (25 / poolLength);
return normalizedTime + normalizedStrokes;
}
// Example:
const swolf = calculateSWOLF(20, 15);
// Returns: 35
const swolf50m = calculateNormalizedSWOLF(40, 30, 50);
// Returns: 35 (normalized to 25m)
Àwọn Ẹ̀rọ Stroke
Oṣùwọ̀n Stroke (SR)
Fọ́múlà:
SR = 60 / Àkókò Ìyípo (ìṣẹ́jú-àáyá)
SR = (Iye Àwọn Stroke / Àkókò ní ìṣẹ́jú-àáyá) × 60
🧪 Ẹ̀rọ Ìṣirò Ìbáṣepọ̀ - Dán Fọ́múlà Wò
Oṣùwọ̀n Stroke (SPM):
72
Ìṣirò:
SR = (30 / 25) × 60 = 72 SPM
SR = (30 / 25) × 60 = 72 SPM
Ìṣiṣẹ́ JavaScript:
function calculateStrokeRate(strokeCount, timeSeconds) {
return (strokeCount / timeSeconds) * 60;
}
// Example:
const sr = calculateStrokeRate(30, 25);
// Returns: 72 SPM
Ìjìnnàsí Fún Stroke (DPS)
Fọ́múlà:
DPS = Ìjìnnàsí / Iye Stroke
DPS = Ìjìnnàsí / (SR / 60)
Ìṣiṣẹ́ JavaScript:
function calculateDPS(distance, strokeCount, pushoffDistance = 0) {
const effectiveDistance = distance - pushoffDistance;
return effectiveDistance / strokeCount;
}
// Example (25m pool, 5m push-off):
const dps = calculateDPS(25, 12, 5);
// Returns: 1.67 m/stroke
// For multiple laps:
const dps100m = calculateDPS(100, 48, 4 * 5);
// Returns: 1.67 m/stroke (4 laps × 5m push-off)
Iyara Láti SR àti DPS
Fọ́múlà:
Iyara (m/s) = (SR / 60) × DPS
Ìṣiṣẹ́ JavaScript:
function calculateVelocity(strokeRate, dps) {
return (strokeRate / 60) * dps;
}
// Example:
const velocity = calculateVelocity(70, 1.6);
// Returns: 1.87 m/s
Ìtọ́kasí Stroke (SI)
Fọ́múlà:
SI = Iyara (m/s) × DPS (m/stroke)
Ìṣiṣẹ́ JavaScript:
function calculateStrokeIndex(velocity, dps) {
return velocity * dps;
}
// Example:
const si = calculateStrokeIndex(1.5, 1.7);
// Returns: 2.55
Àwo Ìṣàkóso Ìṣesí (PMC)
Àwọn Ìṣirò CTL, ATL, TSB
Àwọn Fọ́múlà:
CTL òní = CTL àná + (TSS òní - CTL àná) × (1/42)
ATL òní = ATL àná + (TSS òní - ATL àná) × (1/7)
TSB = CTL àná - ATL àná
Ìṣiṣẹ́ JavaScript:
function updateCTL(previousCTL, todayTSS) {
return previousCTL + (todayTSS - previousCTL) * (1/42);
}
function updateATL(previousATL, todayTSS) {
return previousATL + (todayTSS - previousATL) * (1/7);
}
function calculateTSB(yesterdayCTL, yesterdayATL) {
return yesterdayCTL - yesterdayATL;
}
// Calculate PMC for series of workouts
function calculatePMC(workouts) {
let ctl = 0, atl = 0;
const results = [];
workouts.forEach(workout => {
ctl = updateCTL(ctl, workout.tss);
atl = updateATL(atl, workout.tss);
const tsb = calculateTSB(ctl, atl);
results.push({
date: workout.date,
tss: workout.tss,
ctl: Math.round(ctl * 10) / 10,
atl: Math.round(atl * 10) / 10,
tsb: Math.round(tsb * 10) / 10
});
});
return results;
}
// Example usage:
const workouts = [
{ date: '2025-01-01', tss: 50 },
{ date: '2025-01-02', tss: 60 },
{ date: '2025-01-03', tss: 45 },
// ... more workouts
];
const pmc = calculatePMC(workouts);
// Returns array with CTL, ATL, TSB for each day
Àwọn Ìṣirò Tí Ó Ga Jù
CSS Láti Àwọn Ìjìnnàsí Púpọ̀ (Ọ̀nà Regression)
Ìṣiṣẹ́ JavaScript:
function calculateCSSRegression(distances, times) {
// Linear regression: distance = a + b*time
const n = distances.length;
const sumX = times.reduce((a, b) => a + b, 0);
const sumY = distances.reduce((a, b) => a + b, 0);
const sumXY = times.reduce((sum, x, i) => sum + x * distances[i], 0);
const sumXX = times.reduce((sum, x) => sum + x * x, 0);
const slope = (n * sumXY - sumX * sumY) / (n * sumXX - sumX * sumX);
const intercept = (sumY - slope * sumX) / n;
return {
css: slope, // Critical swimming velocity (m/s)
anaerobic_capacity: intercept // Anaerobic distance capacity (m)
};
}
// Example with multiple test distances:
const distances = [100, 200, 400, 800];
const times = [65, 150, 340, 720]; // in seconds
const result = calculateCSSRegression(distances, times);
// Returns: { css: 1.18, anaerobic_capacity: 15.3 }
Intensity Factor Láti Iyara
Ìṣiṣẹ́ JavaScript:
function calculateIntensityFactor(actualPace100m, thresholdPace100m) {
// Convert pace to speed (m/s)
const actualSpeed = 100 / actualPace100m;
const thresholdSpeed = 100 / thresholdPace100m;
return actualSpeed / thresholdSpeed;
}
// Example:
const if_value = calculateIntensityFactor(110, 93);
// Returns: 0.845 (swimming at 84.5% of threshold)
Ìtúpalẹ̀ Ìdogba Iyara
Ìṣiṣẹ́ JavaScript:
function analyzePaceConsistency(laps) {
const paces = laps.map(lap => lap.distance / lap.time);
const avgPace = paces.reduce((a, b) => a + b) / paces.length;
const variance = paces.reduce((sum, pace) =>
sum + Math.pow(pace - avgPace, 2), 0) / paces.length;
const stdDev = Math.sqrt(variance);
const coefficientOfVariation = (stdDev / avgPace) * 100;
return {
avgPace,
stdDev,
coefficientOfVariation,
consistency: coefficientOfVariation < 5 ? "Excellent" :
coefficientOfVariation < 10 ? "Good" :
coefficientOfVariation < 15 ? "Moderate" : "Variable"
};
}
// Example:
const laps = [
{ distance: 100, time: 70 },
{ distance: 100, time: 72 },
{ distance: 100, time: 71 },
// ...
];
const analysis = analyzePaceConsistency(laps);
// Returns: { avgPace: 1.41, stdDev: 0.02, coefficientOfVariation: 1.4, consistency: "Excellent" }
Ìwádìí Àárẹ̀ Láti Iye Stroke
Ìṣiṣẹ́ JavaScript:
function detectFatigue(laps) {
const firstThird = laps.slice(0, Math.floor(laps.length/3));
const lastThird = laps.slice(-Math.floor(laps.length/3));
const firstThirdAvg = firstThird.reduce((sum, lap) =>
sum + lap.strokeCount, 0) / firstThird.length;
const lastThirdAvg = lastThird.reduce((sum, lap) =>
sum + lap.strokeCount, 0) / lastThird.length;
const strokeCountIncrease = ((lastThirdAvg - firstThirdAvg) / firstThirdAvg) * 100;
return {
firstThirdAvg: Math.round(firstThirdAvg * 10) / 10,
lastThirdAvg: Math.round(lastThirdAvg * 10) / 10,
percentIncrease: Math.round(strokeCountIncrease * 10) / 10,
fatigueLevel: strokeCountIncrease < 5 ? "Minimal" :
strokeCountIncrease < 10 ? "Moderate" :
strokeCountIncrease < 20 ? "Significant" : "Severe"
};
}
// Example:
const laps = [
{ strokeCount: 14 }, { strokeCount: 14 }, { strokeCount: 15 },
{ strokeCount: 15 }, { strokeCount: 16 }, { strokeCount: 16 },
{ strokeCount: 17 }, { strokeCount: 18 }, { strokeCount: 18 }
];
const fatigue = detectFatigue(laps);
// Returns: { firstThirdAvg: 14.3, lastThirdAvg: 17.7, percentIncrease: 23.8, fatigueLevel: "Severe" }
Ìfìdímúlẹ̀ Data
Àwọn Àyẹ̀wò Dídára Data Workout
Ìṣiṣẹ́ JavaScript:
function validateWorkoutData(workout) {
const issues = [];
// Check for reasonable pace ranges (1:00-5:00 per 100m)
const avgPace = (workout.totalTime / workout.totalDistance) * 100;
if (avgPace < 60 || avgPace > 300) {
issues.push(`Unusual average pace: ${Math.round(avgPace)}s per 100m`);
}
// Check for reasonable stroke counts (10-50 per 25m)
const avgStrokesPer25m = (workout.totalStrokes / workout.totalDistance) * 25;
if (avgStrokesPer25m < 10 || avgStrokesPer25m > 50) {
issues.push(`Unusual stroke count: ${Math.round(avgStrokesPer25m)} per 25m`);
}
// Check for reasonable stroke rate (30-150 SPM)
const avgSR = calculateStrokeRate(workout.totalStrokes, workout.totalTime);
if (avgSR < 30 || avgSR > 150) {
issues.push(`Unusual stroke rate: ${Math.round(avgSR)} SPM`);
}
// Check for missing laps (gaps in time)
if (workout.laps && workout.laps.length > 1) {
for (let i = 1; i < workout.laps.length; i++) {
const gap = workout.laps[i].startTime -
(workout.laps[i-1].startTime + workout.laps[i-1].duration);
if (gap > 300) { // 5 minute gap
issues.push(`Large gap detected between laps ${i} and ${i+1}`);
}
}
}
return {
isValid: issues.length === 0,
issues
};
}
// Example:
const workout = {
totalDistance: 2000,
totalTime: 1800, // 30 minutes
totalStrokes: 800,
laps: [/* lap data */]
};
const validation = validateWorkoutData(workout);
// Returns: { isValid: true, issues: [] }
Àwọn Iṣẹ́ Ìrànlọ́wọ́
Àwọn Ìlò Yíyí Àkókò Padà
Ìṣiṣẹ́ JavaScript:
// Convert mm:ss to seconds
function timeToSeconds(timeString) {
const parts = timeString.split(':');
return parseInt(parts[0]) * 60 + parseInt(parts[1]);
}
// Convert seconds to mm:ss
function secondsToTime(seconds) {
const minutes = Math.floor(seconds / 60);
const secs = Math.round(seconds % 60);
return `${minutes}:${secs.toString().padStart(2, '0')}`;
}
// Convert seconds to hh:mm:ss
function secondsToTimeDetailed(seconds) {
const hours = Math.floor(seconds / 3600);
const minutes = Math.floor((seconds % 3600) / 60);
const secs = Math.round(seconds % 60);
return `${hours}:${minutes.toString().padStart(2, '0')}:${secs.toString().padStart(2, '0')}`;
}
// Examples:
timeToSeconds("1:33"); // Returns: 93
secondsToTime(93); // Returns: "1:33"
secondsToTimeDetailed(3665); // Returns: "1:01:05"
Àwọn Àǹfààní Ìṣiṣẹ́
Gbogbo àwọn fọ́múlà lórí ojú-ìwé yìí ti ṣetán fún iṣẹ́-iṣelọpọ àti wọ́n ti ṣe ìfìdímúlẹ̀ pẹ̀lú ìwé-ẹ̀kọ́ sáyẹ́ǹsì. Lo wọ́n fún àwọn irinṣẹ́ ìtúpalẹ̀ aláìlẹ́gbẹ́, ìfìdímúlẹ̀, tàbí òye jinlẹ̀ sí àwọn ìṣirò ìṣesí wíwẹ́.
💡 Àwọn Ìṣe Tí Ó Dára Jù
- Ṣe ìfìdímúlẹ̀ àwọn input: Ṣàyẹ̀wò àwọn ìwọ̀n tí ó tọ́ ṣáájú ìṣirò
- Ṣàkóso àwọn ọ̀ràn igun: Pípin pẹ̀lú òdo, àwọn iye òdì, data null
- Ṣe ìrọ̀ṣọ̀ tí ó tọ́: CTL/ATL/TSB sí 1 decimal, sTSS sí integer
- Fi ìpéye pamọ́: Dúró ìpéye kíkún nínú database, ṣe ìrọ̀ṣọ̀ fún ìfihàn
- Ṣe ìdánwò dáradára: Lo data tí ó dára tí a mọ̀ láti ṣe ìfìdímúlẹ̀ àwọn ìṣirò