Normally, clinical assessments of hemoglobin are performed by evaluating blood samples
collected through venipuncture in laboratories. These techniques are uncomfortable, painful …

Hemoglobin and the glucose level can be measured after taking a blood sample using a
needle from the human body and analyzing the sample, the result can be observed. This …

Over the last decade, smartphones have changed radically to support us with mHealth
technology, cloud computing, and machine learning algorithm. Having its multifaceted …

Two billion people are affected by hemoglobin (Hgb) related diseases. Usual clinical
assessments of Hgb are conducted by analyzing venipuncture-obtained blood samples in …

Blood hemoglobin level (Hgb) measurement has a vital role in the diagnosis, evaluation,
and management of numerous diseases. We describe the use of smartphone video imaging …

To facilitate hemoglobin value estimation noninvasively, a machine learning model is
proposed in this paper. Features extracted from the acquired Photo-plethysmography (PPG) …

One of the challenges in the medical world is to transform the instrument with invasive
methods into non-invasive. This is expected to reduce the risk of infection that can be …

Blood components such as hemoglobin, glucose, creatinine measuring are essential for
monitoring one's health condition. The current blood component measurement approaches …

In this paper, we propose a smartphone-based biosensor for detecting human total
hemoglobin concentration in vivo with high accuracy. Compared to the existing biosensors …

The increasing advancement in mobile technology has led to many smartphone-based
technologies being widely accepted in various research fields. In recent years, promising …