Physiological measurement最新文献

Apple watch accuracy in monitoring health metrics: a systematic review and meta-analysis. 苹果手表监测健康指标的准确性：系统回顾与荟萃分析。

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-04-08 DOI: 10.1088/1361-6579/adca82

Ju-Pil Choe, Minsoo Kang

{"title":"Apple watch accuracy in monitoring health metrics: a systematic review and meta-analysis.","authors":"Ju-Pil Choe, Minsoo Kang","doi":"10.1088/1361-6579/adca82","DOIUrl":"https://doi.org/10.1088/1361-6579/adca82","url":null,"abstract":"Wearable technology like the Apple Watch is increasingly important for monitoring health metrics. Accurate measurement is crucial, as inaccuracies can impact health outcomes. Despite extensive research, findings on the Apple Watch's accuracy vary across different conditions. While previous reviews have summarized findings, few have utilized a meta-analytic approach. This study aims to quantitatively evaluate the accuracy of the Apple Watch in measuring health metrics. The accuracy of the Apple Watch was assessed in measuring energy expenditure (EE), heart rate (HR), and step counts (steps). We searched Embase, PubMed, Scopus, and SPORTDiscus for studies on adults using the Apple Watch compared to reference measures. The Bland-Altman framework was applied to assess mean bias and limits of agreement (LoA), with robust variance estimation to address within-study correlations. Heterogeneity was assessed across variables such as age, health status, device series, activity intensity, and activity type. Additionally, the mean absolute percentage error (MAPE) reported in the included studies was summarized by subgroups. This review included 56 studies, comprising 270 effect sizes on EE (71), HR (148), and steps (51). The meta-analysis showed a mean bias of 0.30 (LoA: -2.09 to 2.69) for EE (kcal/min), -0.12 (LoA: -11.06 to 10.81) for HR (beats/min), -1.83 (LoA: -9.08 to 5.41) for steps (steps /min). The forest plots showed variability in LoA across subgroups. For MAPE, all subgroups for EE exceeded the 10% validity threshold, while none of the subgroups for HR exceeded this threshold. For steps, some subgroups exceeded 10%, highlighting variability in accuracy based on different conditions. This study demonstrates that while the Apple Watch generally provides accurate HR and step measurements, its accuracy for EE is limited. Although HR and step measurements showed acceptable accuracy, variability was observed across different user characteristics and measurement conditions. These findings highlight the importance of considering such factors when evaluating validity.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extreme variability of vascular responses to slightly different abduction angles during abduction and external rotation tests, in patients with suspected thoracic outlet syndrome.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-04-04 DOI: 10.1088/1361-6579/adc239

Simon Lecoq, Quentin Petit, Nathan Cronier, Samir Henni, Benedicte Noury, Pierre Abraham

{"title":"Extreme variability of vascular responses to slightly different abduction angles during abduction and external rotation tests, in patients with suspected thoracic outlet syndrome.","authors":"Simon Lecoq, Quentin Petit, Nathan Cronier, Samir Henni, Benedicte Noury, Pierre Abraham","doi":"10.1088/1361-6579/adc239","DOIUrl":"10.1088/1361-6579/adc239","url":null,"abstract":"Objective.Patients may not always perform a perfect 90° upper limb abduction when doing an abduction, external rotation test for the evaluation of thoracic outlet syndrome (TOS). We aimed to study the vascular responses to three slightly different abduction angles.Approach.We recorded fingertip arterial (A-PPG) and forearm venous (V-PPG) photo-plethysmography in 111 patients referred for suspicion or follow up of TOS. The measurements were made bilaterally during a 30 s surrender position, followed by moving elbows in the frontal plane without changing elbow and hand level to open the costo-clavicular angle (prayer position) to standardize venous results, either: slightly below (<90°), at the same level of (∼90°), or slightly above (>90°) the shoulder level, in a random order.Main results.With abnormal results defined as A-PPG <5%rest and V-PPG < 70%max in the surrender position, 54 of the 222 upper limbs were normal at all three tests. The proportion of abnormal tests decreased with the increase in abduction angle (CochranQ< 0.05), 135 upper limbs showed impaired venous outflow for one (n= 74), two (n= 47) or the three angles (n= 14) without arterial inflow impairment at any of the three tests.Significance.Slight changes from a 'perfect' 90° abduction angle gave unreliable results during elevation, abduction, external rotation stress tests. A venous outflow impairment should probably be considered a physiologic response at <90° abduction.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Craniospinal compliance depends on the frequency of volume input.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-04-03 DOI: 10.1088/1361-6579/adc365

Adam I Pelah, Magdalena Kasprowicz, Agnieszka Kazimierska, Ananya Chakravorty, Matthias Jaeger, Georgios Varsos, Marek Czosnyka, Zofia Czosnyka

{"title":"Craniospinal compliance depends on the frequency of volume input.","authors":"Adam I Pelah, Magdalena Kasprowicz, Agnieszka Kazimierska, Ananya Chakravorty, Matthias Jaeger, Georgios Varsos, Marek Czosnyka, Zofia Czosnyka","doi":"10.1088/1361-6579/adc365","DOIUrl":"10.1088/1361-6579/adc365","url":null,"abstract":"Objective.Craniospinal compliance (CC) refers to the ability to maintain stable intracranial pressure (ICP) given changes in intracranial volume. CC can be calculated directly as the change in intracranial volume over change in ICP (ΔV/ΔICP). Considering the distinct spectral components of the ICP signal, it is pertinent to explore whether compliance is dependent on the frequency at which it is calculated.Approach.Data from 92 hydrocephalus patients who underwent computerized infusion studies was retrospectively analysed. ICP was recorded via lumbar puncture and cerebral blood flow velocity (CBFV) using transcranial Doppler ultrasonography. Compliance was calculated as ΔV/ΔICP, whereVis cerebral arterial blood volume (CaBV), estimated by integrating CBFV over time. Compliance was calculated across three ICP wave frequencies: vasogenicB-waves, respiratoryR-waves, and pulsatile waves.Main results.Compliances were significantly different (p< 0.001) across frequencies, and moderately correlated (r= 0.52 tor= 0.66), during baseline and plateau phases of the infusion study. Compliance decreased significantly from baseline to plateau (p< 0.001).B-wave CaBV amplitude was significantly higher than all other frequencies during both phases (p< 0.001), while pulsatile ICP amplitude was highest at baseline (p< 0.01), but tied withB-wave ICP amplitude during plateau (p= 0.10).Significance.The results support the notion that compliance is dependent on frequency, with higher compliances at slower frequencies. Where compliance is calculated in a clinical context, in hydrocephalus and traumatic brain injury, frequency should be considered for accurate results. Further research should explore this in a larger cohort, and in additional pathologies.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-based non-invasive continuous dynamic monitoring of human core temperature with wearable dual temperature sensors.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-04-03 DOI: 10.1088/1361-6579/adbf64

Haotian Liang, Yishan Wang, Linbo Jiang, Xinming Yu, Linghao Xiong, Liang Luo, Le Fu, Yu Zhang, Ye Li, Jinzhong Song, Fangmin Sun

{"title":"Machine learning-based non-invasive continuous dynamic monitoring of human core temperature with wearable dual temperature sensors.","authors":"Haotian Liang, Yishan Wang, Linbo Jiang, Xinming Yu, Linghao Xiong, Liang Luo, Le Fu, Yu Zhang, Ye Li, Jinzhong Song, Fangmin Sun","doi":"10.1088/1361-6579/adbf64","DOIUrl":"10.1088/1361-6579/adbf64","url":null,"abstract":"Objective.Due to the growing demand for personal health monitoring in extreme environments, continuous monitoring of core temperature has become increasingly important. Traditional monitoring methods, such as mercury thermometers and infrared thermometers, may have limitations in tracking real-time fluctuations in core temperature, especially in special application scenarios such as firefighting, military, and aerospace. This study aims to develop a non-invasive, continuous core temperature prediction model based on machine learning, addressing the limitations of traditional methods in extreme environments.Approach.This study develops a novel machine learning-based non-invasive continuous body core temperature monitoring model. A wearable dual temperature sensing device is designed to collect skin and environment temperature, six machine learning algorithms are trained utilizing data from 62 subjects.Main results.Performance evaluations on a test set of 10 subjects reveal outstanding results, achieving a mean absolute error of 0.15 °C ± 0.04 °C, a root mean square error of 0.17 °C ± 0.05 °C, and a mean absolute percentage error of 0.40% ± 0.12%. Statistical analysis further confirms the model's superior predictive capability compared to traditional methods.Significance.The developed temperature monitoring model not only provides enhanced accuracy in various conditions but also serves as a robust tool for individual health monitoring. This innovation is particularly significant in scenarios requiring continuous and precise temperature tracking, and offering entirely new insights for improved health management strategies and outcomes.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Promoting motor skills in preschool age: a focus on balance regulation.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-04-02 DOI: 10.1088/1361-6579/adc86d

Stephan Gutschow, Dominik D Kranz, Sascha Tamm, Andy Papke, Aileen Kotzsch, Jan F Kraemer, Niels Wessel

引用次数: 0

In-water electrical impedance tomography: EIT and the sea.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-03-31 DOI: 10.1088/1361-6579/adb82c

Andy Adler, Tarek El Harake, Martina Mosing, Andreas Fahlman

引用次数: 0

Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-03-31 DOI: 10.1088/1361-6579/adc366

Eugenia Ipar, Leandro J Cymberknop, Ricardo L Armentano

{"title":"Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.","authors":"Eugenia Ipar, Leandro J Cymberknop, Ricardo L Armentano","doi":"10.1088/1361-6579/adc366","DOIUrl":"10.1088/1361-6579/adc366","url":null,"abstract":"Objective.Understanding cardiac hemodynamic status (CHS) is essential for accurate cardiovascular health assessment, as it is governed by key parameters such as cardiac output (CO), systemic vascular resistance (SVR), and arterial compliance (AC). This study aims to develop a non-invasive method using digital photoplethysmography (PPGD) signals and deep learning techniques to predict these biomarkers for a comprehensive CHS evaluation.Approach.A dataset of 4374 virtual subjects was used. Nonlinear features were extracted from PPGD signals to capture their inherent complexity and irregularity. A parallel convolutional neural network (PCNN) was implemented to process both raw signals and nonlinear features concurrently. Model performance was evaluated usingR2, root mean squared error (RMSE), mean squared error (MSE), and mean absolute error (MAE).Main results.The PCNN demonstrated satisfactory predictive performance withR2, RMSE, MSE, and MAE values of 0.872, 0.086, 0.008, and 0.068 for CO; 0.851, 0.074, 0.006, and 0.058 for SVR; and 0.938, 0.049, 0.003, and 0.038 for AC. The proposed PCNN-based method offers a novel, non-invasive approach for predicting key cardiovascular biomarkers, providing an accurate CHS assessment.Significance.This method advances non-invasive cardiovascular diagnostics by combining PPGD signals and deep learning. Future work will focus on validating this findings in real-world settings for improved clinical applicability.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noninvasive assessment of temporal dynamics in sympathetic and parasympathetic baroreflex responses.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-03-27 DOI: 10.1088/1361-6579/adc23a

Heberto Suarez-Roca, Negmeldeen Mamoun, Joseph P Mathew, Andrey V Bortsov

{"title":"Noninvasive assessment of temporal dynamics in sympathetic and parasympathetic baroreflex responses.","authors":"Heberto Suarez-Roca, Negmeldeen Mamoun, Joseph P Mathew, Andrey V Bortsov","doi":"10.1088/1361-6579/adc23a","DOIUrl":"10.1088/1361-6579/adc23a","url":null,"abstract":"Objective.The baroreflex maintains cardiovascular stability by modulating heart rate, myocardial contraction, and vascular tone. However, noninvasive assessment of its sympathetic vascular and myocardial branches often overlooks their time-dependent interplay. To address this gap, we developed and implemented a noninvasive method that characterizes these baroreflex dynamics to enhance understanding of autonomic function and improve clinical assessments of cardiovascular regulation.Approach.We analyzed blood pressure and ECG recordings from 55 preoperative patients and 21 participants from the EUROBAVAR dataset. Baroreflex sensitivity (BRS) was calculated using the sequence method for interbeat interval (IBI), myocardial contractility (dP/dtmax), and systemic vascular resistance (SVR), derived through pulse contour analysis at multiple delays relative to beat-to-beat changes in systolic arterial pressure (SAP). Correlations of these BRS estimates with hemodynamic parameters and heart rate variability (HRV) were evaluated at rest and during active standing.Main results.Distinct temporal profiles of BRS for IBI, SVR, and dP/dtmaxwere identified, with significant correlations to HRV and average SVR, CO, and SAP levels at physiologically relevant delays. Orthostatic stress primarily impacted parasympathetic BRS for IBI, while BRS for SVR and dP/dtmaxshowed subtler changes, reflecting unique time-dependent associations.Significance.This approach provides a tool to comprehensively understand the baroreflex function, highlighting the latency-dependent interactions of its branches with their effectors and their adaptability to physiological challenges. Such insights could improve clinical assessments of autonomic dysfunction with altered baroreflex latencies and inform personalized strategies for managing conditions that compromise cardiovascular stability.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Camera-based cardio-respiratory monitoring across the full fitness cycle.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-03-20 DOI: 10.1088/1361-6579/adc364

Chang Xiao, Chengyifeng Tan, Lixia Song, Hongzhou Lu, Wenjin Wang

{"title":"Camera-based cardio-respiratory monitoring across the full fitness cycle.","authors":"Chang Xiao, Chengyifeng Tan, Lixia Song, Hongzhou Lu, Wenjin Wang","doi":"10.1088/1361-6579/adc364","DOIUrl":"https://doi.org/10.1088/1361-6579/adc364","url":null,"abstract":"Exercise monitoring provides valuable insights into the cardio-respiratory health and physical fitness levels of exercisers. However, most existing studies focus on the monitoring of a specific phase in the full fitness cycle, limiting the comprehensive understanding of exercising performance. This study proposes a novel concept of camera-based monitoring across the full fitness cycle, encompassing the phases of pre-exercise, during-exercise (sport), and post-exercise. Validated video monitoring algorithms are utilized to measure physiological parameters. Physiological parameters, including heart rate (HR), heart rate variability (HRV), and respiratory rate (RR) are measured by a camera in front of a treadmill. The results show that cameras achieve high accuracy in measuring HR and RR, and show a strong correlation with the reference for HRV parameters including mean IBI, VLF, LF, and SD2. This study compares subjects with and without exercise habits, revealing that subjects with exercise habits (ES, exercise subjects) have more robust cardio-respiratory functioning, evidenced by lower HR during the exercise phase and faster post-exercise recovery compared to those without exercise habits (NS, non-exercise subjects). Cameras can achieve the same effectiveness as the reference in showing the differences of monitored parameters (RR, HR, and HRV) between ES and NS. These findings validate the feasibility of camera-based monitoring throughout the full fitness cycle and reveal the contrasting physiological responses of subjects with and without exercise habits.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inferring forced expiratory volume in 1 second (FEV1) from mobile ECG signals collected during quiet breathing.

IF 2.3 4区医学

Physiological measurement Pub Date : 2025-03-20 DOI: 10.1088/1361-6579/adbaaf

Maria T Nyamukuru, Alix Ashare, Kofi M Odame

{"title":"Inferring forced expiratory volume in 1 second (FEV1) from mobile ECG signals collected during quiet breathing.","authors":"Maria T Nyamukuru, Alix Ashare, Kofi M Odame","doi":"10.1088/1361-6579/adbaaf","DOIUrl":"10.1088/1361-6579/adbaaf","url":null,"abstract":"Objective.Forced expiratory volume in one second (FEV1) is an important metric for patients to track at home for their self-management of asthma and chronic obstructive pulmonary disease (COPD). Unfortunately, the state-of-the-art for measuring FEV1 at home either depends on the patient's physical effort and motivation, or relies on bulky wearable devices that are impractical for long-term monitoring. This paper explores the feasibility of using a machine learning model to infer FEV1 from 270 seconds of a single-lead electrocardiogram (ECG) signal measured on the fingers with a mobile device.Methods.We evaluated the model's inferred FEV1 values against the ground truth of hospital-grade spirometry tests, which were performed by twenty-five patients with obstructive respiratory disease.Results.The model-inferred FEV1 compared to the spirometry-measured FEV1 with a correlation coefficient ofr = 0.73, a mean absolute percentage error of 23% and a bias of -0.08.Conclusions.These results suggest that the ECG signal contains useful information about FEV1, although a larger, richer dataset might be necessary to train a machine learning model that can extract this information with better accuracy.Significance.The benefit of a mobile ECG-based solution for measuring FEV1 is that it would require minimal effort, thus encouraging patient adherence and promoting successful self-management of asthma and COPD.","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143516330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0