Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring

J Fine, KL Branan, AJ Rodriguez, T Boonya-Ananta… - Biosensors, 2021 - mdpi.com
Photoplethysmography (PPG) is a low-cost, noninvasive optical technique that uses change
in light transmission with changes in blood volume within tissue to provide information for …

Organic light‐emitting diodes: pushing toward the limits and beyond

J Song, H Lee, EG Jeong, KC Choi… - Advanced Materials, 2020 - Wiley Online Library
Organic light‐emitting diodes (OLEDs) are established as a mainstream light source for
display applications and can now be found in a plethora of consumer electronic devices …

Contact-based methods for measuring respiratory rate

C Massaroni, A Nicolò, D Lo Presti, M Sacchetti… - Sensors, 2019 - mdpi.com
There is an ever-growing demand for measuring respiratory variables during a variety of
applications, including monitoring in clinical and occupational settings, and during sporting …

Hybrid optimization with cryptography encryption for medical image security in Internet of Things

M Elhoseny, K Shankar, SK Lakshmanaprabu… - Neural computing and …, 2020 - Springer
The development of the Internet of Things (IoT) is predicted to change the healthcare
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …

[HTML][HTML] Photoplethysmography based atrial fibrillation detection: a review

T Pereira, N Tran, K Gadhoumi, MM Pelter, DH Do… - NPJ digital …, 2020 - nature.com
Atrial fibrillation (AF) is a cardiac rhythm disorder associated with increased morbidity and
mortality. It is the leading risk factor for cardioembolic stroke and its early detection is crucial …

Recent Progress in Flexible and Wearable All Organic Photoplethysmography Sensors for SpO2 Monitoring

JV Dcosta, D Ochoa, S Sanaur - Advanced Science, 2023 - Wiley Online Library
Flexible and wearable biosensors are the next‐generation healthcare devices that can
efficiently monitor human health conditions in day‐to‐day life. Moreover, the rapid growth …

[HTML][HTML] Triboelectric nanogenerators for wearable sensing applications: A system level analysis

RL Bulathsinghala, W Ding, R Dharmasena - Nano Energy, 2023 - Elsevier
Wearable sensing is a rapidly expanding research area with significant future potential and
impact, encompassing lifestyle, sports & fitness and healthcare applications. The target of …

Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques

F Miao, B Wen, Z Hu, G Fortino, XP Wang… - Artificial intelligence in …, 2020 - Elsevier
Continuous blood pressure (BP) measurement is crucial for reliable and timely hypertension
detection. State-of-the-art continuous BP measurement methods based on pulse transit time …

Anxiety level recognition for virtual reality therapy system using physiological signals

J Šalkevicius, R Damaševičius, R Maskeliunas… - Electronics, 2019 - mdpi.com
Virtual reality exposure therapy (VRET) can have a significant impact towards assessing and
potentially treating various anxiety disorders. One of the main strengths of VRET systems is …

Applying an ensemble convolutional neural network with Savitzky–Golay filter to construct a phonocardiogram prediction model

JMT Wu, MH Tsai, YZ Huang, SKH Islam… - Applied Soft …, 2019 - Elsevier
Coronary artery disease is a common chronic disease, also known as ischemic heart
disease, which is a cardiac dysfunction caused by the insufficient blood supply to the heart …