Postgraduate Diploma in Measurement, Dosimetry and Human Fatigue Analysis
Online 800 h Postgraduate Diploma in Measurement, Dosimetry and Human Fatigue Analysis. 8 modules covering ISO 9612 (determination of exposure to noise at work), ISO 5349-1 (hand-arm vibration) and MATLAB. Assigned tutor and open enrolment.
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What you will be able to do
Explain the physiological mechanisms of physical and mental fatigue at work.
Carry out noise and vibration dosimetry in accordance with ISO 9612, ISO 5349 and ISO 2631.
Measure biomechanical loads using inertial sensors and electromyography.
Apply standardised ergonomic assessment methods.
Combine physiological measures and subjective fatigue scales.
Analyse time series of exposure and fatigue using statistical tools.
Propose technical and organisational control measures to reduce fatigue.
Who it's for
- Higher technician in occupational risk prevention who wants to specialise in Measurement, Dosimetry and Human Fatigue Analysis.
- Industrial ergonomist who wants to specialise in Measurement, Dosimetry and Human Fatigue Analysis.
- Hygienist specialising in physical agents who wants to specialise in Measurement, Dosimetry and Human Fatigue Analysis.
- Occupational biomechanics engineer who wants to specialise in Measurement, Dosimetry and Human Fatigue Analysis.
- Occupational health data analyst who wants to specialise in Measurement, Dosimetry and Human Fatigue Analysis.
- Human fatigue researcher who wants to specialise in Measurement, Dosimetry and Human Fatigue Analysis.
- Engineering or science graduates looking to enter the manufacturing industry.
What you'll work with
- ISO 9612 (determination of exposure to noise at work)
- ISO 5349-1 (hand-arm vibration)
- ISO 2631-1 (whole-body vibration)
- ISO 11228-1 (manual lifting and handling)
- ISO 11226 (static working postures)
- EN 1005-3 (force limits in machinery)
- ISO 10075-1 (mental workload)
- Directive 2002/44/EC (vibration)
8 modules · 800 h
1.1Peripheral and central muscle fatigue1.2Mental fatigue and its relationship with physical fatigue1.3Metabolic and neuromuscular mechanisms1.4Recovery and breaks1.5Physical load: static and dynamic1.6Cumulative load models1.7Fatigue and musculoskeletal disorders1.8Individual factors: age and physical condition1.9Fatigue and error in manual tasks1.10Case study: fatigue analysis on an assembly line
2.1Concept of occupational exposure dose2.2Noise dosimetry: RD 286/20062.3Vibration dosimetry ISO 2631 and ISO 53492.4Postural load dosimetry2.5Thermal dosimetry and WBGT2.6Optical and UV radiation dosimetry2.7Integration of combined exposures2.8Personal dosimetry equipment2.9Full-shift sampling strategies2.10Laboratory: hand-arm vibration dosimetry with a tool
3.1Surface electromyography: SENIAM3.2Normalisation by maximum voluntary contraction3.3EMG fatigue indicators: mean frequency3.4Inertial sensors and field capture3.5Electronic goniometry3.6Pushing and pulling forces3.7Pressure and force platforms3.8Sensor synchronisation3.9Signal processing with Python3.10Practical: fatigue detection with EMG median frequency
4.1Revised NIOSH equation4.2OCRA method and repetitive movements4.3Revised Strain Index4.4RULA, REBA and OWAS methods4.5ISO 11228 parts 1 to 34.6BAuA KIM method4.7Lifting Fatigue Failure Tool4.8DUET method for shoulders and arms4.9Comparison and selection of methods4.10Workshop: comparative assessment of a task with NIOSH and LiFFT
5.1Heart rate and relative cardiac cost5.2Oxygen consumption and energy expenditure5.3Heart rate variability5.4Borg RPE and CR10 scale5.5Localised discomfort scales5.6Strength and endurance tests5.7Fatigue biomarkers5.8Thermoregulation and dehydration5.9Reliability of self-perception5.10Laboratory: cardiac cost and RPE in a transport task
6.1Exposure time series6.2Fatigue and recovery models6.3Cumulative damage and fatigue failure models6.4Time-to-exhaustion analysis6.5Mixed models with shift data6.6Machine learning for fatigue detection6.7Visualising exposure by task6.8Uncertainty in estimates6.9Exposure reports for prevention6.10Practical: cumulative fatigue model with IMU data from one shift
7.1Break design and task rotation7.2Redesign of tools and workstations7.3Exoskeletons and their evaluation7.4Mechanical handling aids7.5Training and work technique7.6Physical conditioning programmes7.7Evaluation of intervention effectiveness7.8Associated health surveillance7.9Integration into risk assessment7.10Case study: evaluation of a lumbar exoskeleton in a warehouse
8.1Selection of the workstation and tasks8.2Design of the measurement protocol8.3Dosimetry and biomechanics campaign8.4Analysis of fatigue indicators8.5Standardised ergonomic assessment8.6Proposal of interventions8.7Effectiveness verification plan8.8Technical exposure report8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB, Python (pandas, SciPy), Noraxon MR3, Delsys EMGworks, advanced Excel, in free, academic or evaluation versions. Assignments are based on real procedures for noise and vibration dosimetry at a real workstation, surface electromyography during repetitive tasks, and recording of heart rate variability during the working day. Assessment is continuous, module by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the physiological mechanisms of physical and mental fatigue at work.
Carry out noise and vibration dosimetry in accordance with ISO 9612, ISO 5349 and ISO 2631.
Measure biomechanical loads using inertial sensors and electromyography.
Apply standardised ergonomic assessment methods.
Combine physiological measures and subjective fatigue scales.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical standards reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme consists of 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with full-time work.
You work with MATLAB, Python (pandas, SciPy), Noraxon MR3, Delsys EMGworks and advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
SEIUM's own diploma, awarded on passing continuous assessment and the final integrative project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed on a course or postgraduate diploma in the same area are credited towards the higher programme. Check the recognition policy when you enrol.
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