TY - JOUR
T1 - Reconsider photoplethysmogram signal quality assessment in the free living environment
AU - Su, Yan Wei
AU - Hao, Chia Cheng
AU - Liu, Gi Ren
AU - Sheu, Yuan Chung
AU - Wu, Hau Tieng
N1 - Publisher Copyright:
© 2024 Institute of Physics and Engineering in Medicine.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - Objective. Assessing signal quality is crucial for biomedical signal processing, yet a precise mathematical model for defining signal quality is often lacking, posing challenges for experts in labeling signal qualities. The situation is even worse in the free living environment. Approach. We propose to model a PPG signal by the adaptive non-harmonic model (ANHM) and apply a decomposition algorithm to explore its structure, based on which we advocate a reconsideration of the concept of signal quality. Main results. We demonstrate the necessity of this reconsideration and highlight the relationship between signal quality and signal decomposition with examples recorded from the free living environment. We also demonstrate that relying on mean and instantaneous heart rates derived from PPG signals labeled as high quality by experts without proper reconsideration might be problematic. Significance. A new method, distinct from visually inspecting the raw PPG signal to assess its quality, is needed. Our proposed ANHM model, combined with advanced signal processing tools, shows potential for establishing a systematic signal decomposition based signal quality assessment model.
AB - Objective. Assessing signal quality is crucial for biomedical signal processing, yet a precise mathematical model for defining signal quality is often lacking, posing challenges for experts in labeling signal qualities. The situation is even worse in the free living environment. Approach. We propose to model a PPG signal by the adaptive non-harmonic model (ANHM) and apply a decomposition algorithm to explore its structure, based on which we advocate a reconsideration of the concept of signal quality. Main results. We demonstrate the necessity of this reconsideration and highlight the relationship between signal quality and signal decomposition with examples recorded from the free living environment. We also demonstrate that relying on mean and instantaneous heart rates derived from PPG signals labeled as high quality by experts without proper reconsideration might be problematic. Significance. A new method, distinct from visually inspecting the raw PPG signal to assess its quality, is needed. Our proposed ANHM model, combined with advanced signal processing tools, shows potential for establishing a systematic signal decomposition based signal quality assessment model.
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U2 - 10.1088/1361-6579/ad4f4b
DO - 10.1088/1361-6579/ad4f4b
M3 - Comment/debate
C2 - 38776947
AN - SCOPUS:85196326064
SN - 0967-3334
VL - 45
JO - Physiological Measurement
JF - Physiological Measurement
IS - 6
M1 - 06NT01
ER -