Fatemeh Sarhaddi

ORCID: 0000-0002-5750-5793
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • Maternal Mental Health During Pregnancy and Postpartum
  • Health disparities and outcomes
  • Mobile Health and mHealth Applications
  • Child and Adolescent Psychosocial and Emotional Development
  • Hemodynamic Monitoring and Therapy
  • Sleep and related disorders
  • Neuroscience of respiration and sleep
  • Semantic Web and Ontologies
  • Physical Activity and Health
  • Natural Language Processing Techniques
  • Digital Mental Health Interventions
  • Data-Driven Disease Surveillance
  • COVID-19 diagnosis using AI
  • COVID-19 and Mental Health
  • Infant Development and Preterm Care
  • Sleep and Work-Related Fatigue
  • Neonatal Respiratory Health Research
  • Context-Aware Activity Recognition Systems
  • Blood Pressure and Hypertension Studies
  • EEG and Brain-Computer Interfaces
  • Neonatal and fetal brain pathology
  • Employment and Welfare Studies
  • Sleep and Wakefulness Research

University of Helsinki
2025

University of Turku
2020-2024

Research Council of Finland
2022

Turku University Hospital
2022

University of California, Irvine
2022

Background Assessment of sleep quality is essential to address poor and understand changes. Owing the advances in Internet Things wearable technologies, monitoring under free-living conditions has become feasible practicable. Smart rings smartwatches can be employed perform mid- or long-term home-based monitoring. However, validity such wearables should investigated terms parameters. Sleep validation studies are mostly limited short-term laboratory tests; there a need for study assess...

10.2196/20465 article EN cc-by JMIR mhealth and uhealth 2020-09-23

Background Photoplethysmography is a noninvasive and low-cost method to remotely continuously track vital signs. The Oura Ring compact photoplethysmography-based smart ring, which has recently drawn attention remote health monitoring wellness applications. ring used acquire nocturnal heart rate (HR) HR variability (HRV) parameters ubiquitously. However, these are highly susceptible motion artifacts environmental noise. Therefore, validity assessment of the required in everyday settings....

10.2196/27487 article EN cc-by Journal of Medical Internet Research 2021-11-09

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy needed to identify possible complications early ensure mother’s her unborn baby’s health well-being. Different studies have thus far proposed maternal monitoring systems. However, they are designed for specific problem or limited questionnaires short-term data collection methods. Moreover, requirements challenges not been evaluated in long-term...

10.3390/s21072281 article EN cc-by Sensors 2021-03-24

Technology enables the continuous monitoring of personal health parameter data during pregnancy regardless disruption normal daily life patterns. Our research group has established a project investigating usefulness an Internet Things-based system and smartwatch technology for women to explore variations in stress, physical activity sleep. The aim this study was examine patterns well-being pregnant before national stay-at-home restrictions related COVID-19 pandemic Finland.A longitudinal...

10.1371/journal.pone.0246494 article EN cc-by PLoS ONE 2021-02-03

Background Heart rate variability (HRV) is a noninvasive method that reflects the regulation of autonomic nervous system. Altered HRV associated with adverse mental or physical health complications. The system also has central role in physiological adaption during pregnancy, causing normal changes HRV. Objective aim this study was to assess trends heart (HR) and parameters as for remote maternal monitoring pregnancy 3-month postpartum period. Methods A total 58 pregnant women were monitored...

10.2196/33458 article EN cc-by JMIR mhealth and uhealth 2022-03-04

Photoplethysmography (PPG) is a low-cost and easy-to-implement method to measure vital signs, including heart rate (HR) pulse variability (PRV) which widely used as substitute of (HRV). The in various wearable devices. For example, Samsung smartwatches are PPG-based open-source wristbands remote well-being monitoring fitness applications. However, PPG highly susceptible motion artifacts environmental noise. A validation study required investigate the accuracy devices free-living...

10.1371/journal.pone.0268361 article EN cc-by PLoS ONE 2022-12-08

Background. Missing data in medical datasets poses significant challenges for developing effective AI/ML pipelines. Inaccurate imputation can lead to biased results, reduced model performance, and compromised clinical insights. Understanding how different methods affect performance is crucial ensuring accurate findings. Objective. This study systematically investigates the effects of on implications these methods. Methods. We investigate impact four missing strategies common classification...

10.1101/2025.02.15.25322351 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2025-02-16

Photoplethysmography (PPG) is a non-invasive optical method to acquire various vital signs, including heart rate (HR) and variability (HRV). The PPG highly susceptible motion artifacts environmental noise. Unfortunately, such are inevitable in ubiquitous health monitoring, as the users involved activities their daily routines. Such low-quality signals negatively impact accuracy of extracted parameters, leading inaccurate decision-making. PPG-based monitoring necessitates quality assessment...

10.1145/3616019 article EN cc-by ACM Transactions on Computing for Healthcare 2023-08-23

<title>Abstract</title> The autonomic nervous system (ANS) regulates physiological changes during pregnancy, supporting fetal development and homeostasis. Heart rate (HR) heart variability (HRV) are non-invasive ANS biomarkers; however, their circadian rhythms pregnancy remain underexplored due to the lack of continuous data collection, a gap now addressed by wearable technology. This study is first comprehensive investigation HR HRV throughout using devices in free-living environment. We...

10.21203/rs.3.rs-6075260/v1 preprint EN 2025-05-19

The aim of this study was to compare subjectively and objectively measured stress during pregnancy the three months postpartum in women with previous adverse outcomes normal obstetric histories.We recruited two cohorts southwestern Finland for longitudinal study: (1) pregnant (n = 32) histories preterm births or late miscarriages January-December 2019 (2) 30) full-term October 2019-March 2020. We continuously heart rate variability (HRV) using a smartwatch from 12 15 weeks until postpartum,...

10.1016/j.srhc.2023.100820 article EN cc-by Sexual & Reproductive Healthcare 2023-02-07

Maternal loneliness is associated with adverse physical and mental health outcomes for both the mother her child. Detecting maternal noninvasively through wearable devices passive sensing provides opportunities to prevent or reduce impact of on well-being child.The aim this study use objective data collected passively by a device predict (social) during pregnancy postpartum period identify important physiological parameters in detection.We conducted longitudinal using smartwatches...

10.2196/47950 article EN cc-by JMIR Formative Research 2023-06-19

Abstract Background Photoplethysmography (PPG) is a low-cost and easy-to-implement method to measure vital signs, including heart rate (HR) variability (HRV). The widely used in various wearable devices. For example, Samsung smartwatches are PPG-based open-source wristbands remote well-being monitoring fitness applications. However, PPG highly susceptible motion artifacts environmental noise. A validation study required investigate the accuracy of devices free-living conditions. Objective We...

10.1101/2022.04.29.22274461 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2022-05-01

Smart rings, such as the Oura ring, might have potential in health monitoring. To be able to identify optimal devices for healthcare settings, validity studies are needed. The aim of this study was compare smart ring estimates steps and sedentary time with data from ActiGraph accelerometer a free-living context. A cross-sectional observational design used. convenience sample healthy adults (n = 42) participated wore an on non-dominant hand continuously 1 week. participants completed...

10.1097/cin.0000000000000885 article EN CIN Computers Informatics Nursing 2022-03-02

Preterm birth (PTB) remains a global health concern, impacting neonatal mortality and lifelong consequences. Traditional methods for estimating PTB rely on electronic records or biomedical signals, limited to short-term assessments in clinical settings. Recent studies have leveraged wearable technologies in-home maternal monitoring, offering continuous assessment of autonomic nervous system (ANS) activity facilitating the exploration risk. In this paper, we conduct longitudinal study assess...

10.1038/s41598-024-70773-0 article EN cc-by-nc-nd Scientific Reports 2024-08-27

The development and quality assurance of perinatal eHealth self-monitoring systems is an upcoming area inquiry in health science. Building patient engagement into as a core component has potential to guide process evaluation. Access, 1 attribute engagement, the focus study here. Access programs influence pregnancy wellness outcomes. Little known about how pregnant users' ability obtain resources influenced by their own adaptive activities mediating during real-world testing these...

10.2196/44385 article EN cc-by JMIR Formative Research 2023-03-28

<sec> <title>BACKGROUND</title> Maternal loneliness is associated with adverse physical and mental health outcomes for both the mother her child. Detecting maternal noninvasively through wearable devices passive sensing provides opportunities to prevent or reduce impact of on well-being </sec> <title>OBJECTIVE</title> The aim this study use objective data collected passively by a device predict (social) during pregnancy postpartum period identify important physiological parameters in...

10.2196/preprints.47950 preprint EN 2023-04-06

Loneliness is a global health concern that contributes to morbidity in immigrant populations. However, traditional treatments for loneliness focus on symptom management rather than prevention. Technology-related solutions preventing and assessing among immigrants are crucial. This study explored Finnish immigrants’ affective attitude towards the IoT-based Multimodal Personalized mHealth System (IMPMS), system building predictive models detection. In this descriptive qualitative embedded...

10.3233/shti240137 article EN cc-by-nc Studies in health technology and informatics 2024-07-24

<title>Abstract</title> Preterm birth (PTB) remains a global health concern, impacting neonatal mortality and lifelong consequences. Traditional methods for estimating PTB rely on electronic records or biomedical signals, limited to short-term assessments in clinical settings. Recent studies have leveraged wearable technologies in-home maternal monitoring, offering continuous assessment of autonomic nervous system (ANS) activity facilitating the exploration risk. In this paper, we conduct...

10.21203/rs.3.rs-3951690/v1 preprint EN cc-by Research Square (Research Square) 2024-03-14

Abstract Background Maternal loneliness is associated with adverse physical and mental health outcomes for both the mother her child. Detecting maternal non-invasively through wearable devices passive sensing provides opportunities to prevent or reduce impact of on well-being Objective The aim this study use objective data collected passively by a device predict (social) during pregnancy postpartum period based identify important physiological parameters in detection. Methods We conducted...

10.1101/2022.10.10.22280910 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2022-10-11

<sec> <title>BACKGROUND</title> Photoplethysmography is a noninvasive and low-cost method to remotely continuously track vital signs. The Oura Ring compact photoplethysmography-based smart ring, which has recently drawn attention remote health monitoring wellness applications. ring used acquire nocturnal heart rate (HR) HR variability (HRV) parameters ubiquitously. However, these are highly susceptible motion artifacts environmental noise. Therefore, validity assessment of the required in...

10.2196/preprints.27487 preprint EN 2021-01-26

<sec> <title>BACKGROUND</title> Assessment of sleep quality is essential to address poor and understand changes. Owing the advances in Internet Things wearable technologies, monitoring under free-living conditions has become feasible practicable. Smart rings smartwatches can be employed perform mid- or long-term home-based monitoring. However, validity such wearables should investigated terms parameters. Sleep validation studies are mostly limited short-term laboratory tests; there a need...

10.2196/preprints.20465 preprint EN 2020-05-19

Nezami’s romantic poems have brought about huge evolutions and changes in Iran’s literary space this issue can be well discerned the works authored after him. The literature of world incorporates a large part human emotions, affections thoughts influencing all aspects social individual life. Epical, resistance, lyrical, theosophical other types point to systems texts each which embrace truths subject-specific manner. present study explores binary oppositions stories Laili Majnoun Khosrow...

10.36097/rsan.v1i37.1282 article EN Revista San Gregorio 2020-04-04

<sec> <title>BACKGROUND</title> The development and quality assurance of perinatal eHealth self-monitoring systems is an upcoming area inquiry in health science. Building patient engagement into as a core component has potential to guide process evaluation. Access, 1 attribute engagement, the focus study here. Access programs influence pregnancy wellness outcomes. Little known about how pregnant users’ ability obtain resources influenced by their own adaptive activities mediating during...

10.2196/preprints.44385 preprint EN 2022-11-17
Coming Soon ...