prEN IEC 63203-403-1:2025
(Main)Wearable electronic devices and technologies - Part 403-1: Test method of surface electromyography sensors onto forearm and hand for wearable applications
Wearable electronic devices and technologies - Part 403-1: Test method of surface electromyography sensors onto forearm and hand for wearable applications
Tragbare elektronische Geräte und Technologien - Teil 403-1: Prüfverfahren für Oberflächen-Elektromyographie-Sensoren an Unterarm und Hand für tragbare Anwendungen
Technologies et dispositifs électroniques prêts-à-porter - Partie 403-1: Méthode d'essai des capteurs d’électromyographie de surface sur l'avant-bras et la main pour les applications prêtes-à-porter
Nosljive elektronske naprave in tehnologije - 403-1. del: Preskusna metoda površinskih elektromiografskih senzorjev na podlahti in roki za nosljive aplikacije
General Information
Standards Content (Sample)
SLOVENSKI STANDARD
01-julij-2025
Nosljive elektronske naprave in tehnologije - 403-1. del: Preskusna metoda
površinskih elektromiografskih senzorjev na podlahti in roki za nosljive aplikacije
Wearable electronic devices and technologies - Part 403-1: Test method of surface
electromyography sensors onto forearm and hand for wearable applications
Technologies et dispositifs électroniques prêts-à-porter - Partie 403-1: Méthode d'essai
des capteurs d’électromyographie de surface sur l'avant-bras et la main pour les
applications prêtes-à-porter
Ta slovenski standard je istoveten z: prEN IEC 63203-403-1:2025
ICS:
31.020 Elektronske komponente na Electronic components in
splošno general
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.
124/316/CDV
COMMITTEE DRAFT FOR VOTE (CDV)
PROJECT NUMBER:
IEC 63203-403-1 ED1
DATE OF CIRCULATION: CLOSING DATE FOR VOTING:
2025-05-02 2025-07-25
SUPERSEDES DOCUMENTS:
124/258/CD, 124/315/CC
IEC TC 124 : WEARABLE ELECTRONIC DEVICES AND TECHNOLOGIES
SECRETARIAT: SECRETARY:
Korea, Republic of Mr Jae Yeong Park
OF INTEREST TO THE FOLLOWING COMMITTEES: HORIZONTAL FUNCTION(S):
TC 62,SC 62A,SC 62D
ASPECTS CONCERNED:
SUBMITTED FOR CENELEC PARALLEL VOTING NOT SUBMITTED FOR CENELEC PARALLEL VOTING
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for Vote (CDV) is submitted for parallel voting.
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the final stage for submitting ISC clauses. (SEE AC/22/2007 OR NEW GUIDANCE DOC).
TITLE:
Wearable electronic devices and technologies - Part 403-1: Test method of surface
electromyography sensors onto forearm and hand for wearable applications
PROPOSED STABILITY DATE: 2030
NOTE FROM TC/SC OFFICERS:
In accordance with 124/302/RM, Decision #3, TC 124 agreed to proceed this project to CDV.
download this electronic file, to make a copy and to print out the content for the sole purpose of preparing National
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IEC CDV 63203-403-1 © IEC 2025 – 2 – 124/316/CDV
1 CONTENTS
3 FOREWORD . 4
4 1 Scope . 5
5 2 Normative references . 5
6 3 Terms and definitions . 5
7 surface electromyography . 5
8 electrode . 5
9 sEMG sensor . 5
10 sEMG signal . 5
11 subject 5
12 palpation . 5
13 baseline noise . 6
14 signal-to-noise ratio (SNR) . 6
15 passive sEMG sensor . 6
16 active sEMG sensor . 6
17 4 Test conditions . 6
18 4.1 Test environment . 6
19 4.2 Subject requirement . 6
20 5 Test equipments . 6
21 5.1 Classification . 6
22 5.2 Sensor selection . 7
23 5.3 Technical requirement . 7
24 5.4 Signal transmission . 7
25 6 Test procedure . 7
26 6.1 Test procedure. 7
27 6.2 Determination of muscles to test . 7
28 6.3 Sensor placement . 8
29 7 Measurement of sensor performance . 9
30 7.1 Baseline noise test. 9
31 7.2 SNR test . 9
32 7.3 Distinguishability test . 9
33 7.4 Repeatability test . 10
34 8 Test report . 10
35 Annex A (informative) . 12
36 A.1 Wrist movements and muscle positions for sensor placement . 12
37 A.2 Finger movements and muscle positions for sensor placement . 12
38 A.3 Distribution map of forearm and hand muscles . 13
39 Annex B (informative) . 15
40 B.1 Feature extraction methods of sEMG signals . 15
41 Annex C (informative) . 17
42 C.1 Construction of confusion matrix . 17
43 Bibliography . 18
45 Figure 1 –Sensor placement for armband-type sEMG sensor . 8
46 Figure A. 1- Forearm muscle distribution and positions for sensor placement [2] . 14
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47 Figure A. 2– Hand muscle distribution and positions for sensor placement [2] . 14
48 Figure A. 3 – Feature extraction with sliding window technique . 15
50 Table 1 Classification of sEMG sensors . 7
51 Table A. 1 – Wrist movements and related muscles . 12
52 Table A. 2 - Finger movements and related muscles . 12
53 Table A. 3 - Time-domain feature extraction methods for sEMG signals . 15
54 Table A. 4 - Confusion matrix for a N-category classifier . 17
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57 INTERNATIONAL ELECTROTECHNICAL COMMISSION
58 ____________
60 WEARABLE ELECTRONIC DEVICES AND TECHNOLOGIES -
62 Part 403-1: TEST METHOD OF SURFACE ELECTROMYOGRAPHY
63 SENSORS ONTO FOREARM AND HAND FOR WEARABLE APPLICATIONS
65 FOREWORD
66 1) The International Electrotechnical Commission (IEC) is a worldwide organization for standardization comprising
67 all national electrotechnical committees (IEC National Committees). The object of IEC is to promote international
68 co-operation on all questions concerning standardization in the electrical and electronic fields. To this end and
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93 Publications.
94 8) Attention is drawn to the Normative references cited in this publication. Use of the referenced publications is
95 indispensable for the correct application of this publication.
96 9) Attention is drawn to the possibility that some of the elements of this IEC Publication may be the subject of patent
97 rights. IEC shall not be held responsible for identifying any or all such patent rights.
98 IEC 63203-40X-X has been prepared by Working Group 4: Devices and Systems, of IEC technical committee 124:
99 Wearable electronic devices and technologies. It is an International Standard.
IEC CDV 63203-403-1 © IEC 2025 – 5 – 124/316/CDV
101 WEARABLE ELECTRONIC DEVICES AND TECHNOLOGIES -
103 Part 403-1: Test Method of Surface Electromyography Sensors onto
104 Forearm and Hand for Wearable Applications
105 1 Scope
106 This document specifies test methods for sEMG sensors by evaluating the quality of sEMG
107 signals obtained from contracting muscles of forearm and hand for wearable applications. It is
108 applicable to sEMG sensors that are used to decipher movement intentions and use them as
109 control signals in situations such as virtual reality, game/UAV/robot control, and home
110 automation. It is not applicable to sEMG sensors intended for medical applications.
111 2 Normative references
112 There are no normative references in this document.
113 3 Terms and definitions
114 For the purposes of this document, the following terms and definitions apply.
115 ISO and IEC maintain terminological databases for use in standardization at the following
116 addresses:
117 • IEC Electropedia: available at http://www.electropedia.org/
118 • ISO Online browsing platform: available at http://www.iso.org/obp
119 3.1
120 surface electromyography
121 sEMG
122 technique in which electrodes are placed on the skin over muscles to detect the electrical
123 activity of the muscles
124 3.2
125 electrode
126 part of the sensor that transfer the electric potential on the skin to the electric circuit of the
127 sensor
128 3.3
129 sEMG sensor
130 device that produces a signal by measuring the electrical potential difference between the
131 electrodes
132 3.4
133 sEMG signal
134 electrical signals of muscles detected by sensors that are placed on the skin above those
135 muscles
136 3.5
137 subject
138 person or animal that is being tested or studied. In this document, it is the person being tested
139 3.6
140 palpation
141 act of examining part of the body by touching it
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142 3.7
143 baseline noise
144 electrical signal acquired from sEMG sensors attached to the skin when targeted muscles are
145 relaxed as much as possible
146 3.8
147 signal-to-noise ratio (SNR)
148 ratio, generally expressed in decibels, of the power of the wanted signal to that of the coexistent
149 noise at a specified point in a transmission channel under specified conditions (Source: IEC
150 702-08-61:1992)
151 3.9
152 passive sEMG sensor
153 sEMG sensor that that produces raw signals which may require further amplification or signal
154 processing
155 3.10
156 active sEMG sensor
157 sEMG sensor that is equipped with amplifier or signal processing circuit
158 4 Test conditions
159 4.1 Test environment
160 The test is carried out under the environmental operating range (ambient temperature, relative
161 humidity, atmospheric pressure) specified by the manufacturer. It is recommended to have the
162 test conducted in an environment that is isolated from power line sources, and other external
163 noise sources (such as vibrations from a machine, and crowded place).
164 4.2 Subject requirement
165 The requirements for subjects are as follows.
166 a) The test methods in this document apply to subjects with intact upper limbs.
167 b) The subjects should be healthy and free from muscle or nerve-related disorders.
168 c) Subjects shall wear loose clothes that allow their forearms and hands to be exposed easily.
169 d) The subject shall clean their forearm to remove the oil and skin debris before the test, or
170 the experimenter can choose not to clean the skin and record the testing condition. It is also
171 recommended to shave excessive hairs on the forearm.
172 e) The subjects shall maintain the posture they are comfortable with during the test, or the
173 experimenter can choose whether the subject should maintain the posture or move the
174 upper arm in specific sequence and record the testing condition.
175 5 Test equipments
176 5.1 Classification
177 The classification of the sEMG sensors is shown in Table 1.
178 a) Based on the conductive medium, the type of sEMG sensor is classified into dry, semi-dry
179 and wet.
180 b) Based on the channel configuration, the type of sEMG sensor can be classified into single,
181 multi-singles, and multi type.
182 c) Based on the electrode fixation method, the type of sEMG sensor can be classified to
183 adhesive and band/clamp.
184 To maintain the low impedance between the skin and electrode to avoid noise or motion artifacts,
185 active sEMG sensor is recommended. Active sEMG sensors use amplifier or feedback
186 mechanisms to create virtual low impedance between the skin and electrode. Passive sEMG
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187 sensors, in contrast, are not equipped with such mechanism, therefore the conductive medium
188 is usually used to lower the impedance.
189 Table 1 Classification of sEMG sensors
Property Type Sub-type Examples
Dry Metal, carbon
Metal/sponge with pre-application of some
Conductive medium Semi-dry
water
Wet Ag-AgCl with gel, conductive paste
Single One differential pair of electrodes with ground*
The device has multiple single channels but not
Multi-singles
mechanically constrained each other
Channel configuration
Low density Armband type, multiple channels in one sheet
Multi type
Four or more closely spaced electrodes
high density
configured on a two-dimensional space
adhesive Double sided tape, gel
Electrode fixation
Band/clamp Armband
190 5.2 Sensor selection
191 The sEMG sensor shall be selected based on the application purposes and scenario. It is
192 recommended to use the sEMG sensor with dry electrodes. For different channel configurations,
193 the type of sEMG sensor shall be determined as follows:
194 a) For the purpose of acquiring sEMG signals of a specific muscle or multiple target muscles,
195 a single sEMG sensor or multi-singles sEMG sensor shall be used, and the sEMG sensor
196 shall be placed on the target muscles.
197 b) For the purpose of acquiring sEMG signals of muscle groups, single sEMG senor, multi-
198 singles sEMG sensor, and multi type sEMG sensor can be used.
199 5.3 Technical requirement
200 The sampling rate of the sEMG sensor should be at least 100 Hz. The sEMG sensor should
201 have built-in algorithms, circuit, or other methods to filter out the noise beyond 20 Hz-450 Hz
202 (if applicable) and the 50 Hz or 60 Hz electrical
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