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

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

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

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

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