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Type of article: bibliographic review https://doi.org/10.47460/athenea.v6i20.92
A review of flow and volume sensors applications in hemodialysis
Stephanie Malav
´
e M
´
endez*
https://orcid.org/0009-0002-4336-0172
malave 164010@students.pupr.edu
Universidad Polit
´
ecnica de Puerto Rico
San Juan - Puerto Rico
Julio C. Mart
´
ınez Ocasio
https://orcid.org/0009-0008-7667-7372
martinez 123888@students.pupr.edu
Universidad Polit
´
ecnica de Puerto Rico
San Juan - Puerto Rico
*Correspondence author: malave 164010@students.pupr.edu
Received (25/11/2024), Accepted (04/02/2025)
Abstract. This article describes distinct types of flow and volume sensors, and their respective appli-
cations used during hemodialysis. Through a review of the literature, new opportunities in the field
of non-invasive methods are explored to optimize and develop innovative technologies in the field of
biomedical implants and accelerate the completion of kidney disease treatment. The findings reveal that
the combination of these devices and noninvasive techniques contributes significantly to the treatment
of kidney diseases. In addition, it helps in the development of biological models and the performance
of operational/mechanical analyses to predict more effective and rapid implementation methods for
patient recovery.
Keywords: biofluids, flow and volume sensors, hemodialysis.
Una revisi´on de las aplicaciones de sensores de flujo y volumen en
hemodi´alisis
Resumen. - Este art
´
ıculo describe diferentes tipos de sensores de flujo y volumen, y sus respectivas
aplicaciones durante la hemodi
´
alisis. A trav
´
es de una revisi
´
on bibliogr
´
afica se exploran nuevas oportu-
nidades en el campo de los m
´
etodos no invasivos para optimizar y desarrollar tecnolog
´
ıas innovadoras
en el campo de los implantes biom
´
edicos y acelerar la finalizaci
´
on del tratamiento de enfermedades re-
nales. Los hallazgos revelan que la combinaci
´
on de estos dispositivos y t
´
ecnicas no invasivas contribuye
significativamente al tratamiento de enfermedades renales. Adem
´
as, facilita el desarrollo de modelos
biol
´
ogicos y la realizaci
´
on de an
´
alisis operativos/mec
´
anicos para predecir m
´
etodos de implementaci
´
on
m
´
as efectivos y r
´
apidos para la recuperaci
´
on del paciente.
Palabras clave: biofluidos, sensores de flujo y volumen, hemodi
´
alisis.
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I. INTRODUCTION
Hemodialysis (HD) is a life-saving treatment for chronic kidney failure, replacing key
kidney functions by filtering blood through a dialyzer to remove waste, excess fluids, and
toxins. Specifically, it serves patients with chronic kidney disease (CKD) and end-stage
renal disease (ESRD), where maintaining a balance between fluid removal and replace-
ment is essential. To achieve this, accurate control of blood and dialysate flow rates, as
well as ultrafiltration volume [1], is ensured through integrated flow and volume sen-
sors, which play a key role in treatment efficacy and patient safety. As dialysis therapies
become more complex, the demand for reliable sensor technologies continues to grow.
In addition, ESRD, one of the leading causes of reduced lifespan with a high mortality
rate, requires long-term dialysis, and by 2030, an estimated 5.4 million patients will need
this therapy. Effective dialysis depends on proper vascular access to ensure sufficient
blood flow [2]. Thus, epidermal blood flow sensors have been introduced for real-time
monitoring.
Furthermore, access points such as arteriovenous fistulas (AVF), arteriovenous grafts
(AVG) and catheters [3] can fail due to stenosis or thrombosis, making wearable thermal
anemometric flow sensors crucial for early detection. In addition, flow sensors measure
the movement of liquids or gases through output signals [4] or pressure changes [5], en-
hancing the precision of treatment and patient outcomes. Similarly, volume sensors are
integral to modern HD systems, providing real-time fluid balance monitoring. In gen-
eral, this review highlights the role of bio-fluids in medical device design, emphasizing
the importance of flow and volume sensors to align with biological properties for effec-
tive patient care. According to Y
´
anez et al. [6], blood comprises 8% of an adult’s body
mass, while total water content ranges from 58% to 80%, distributed between organs
such as brain (73%), heart (73%), skin (65%), lungs (84%), kidneys (79%), liver (71%) and
pancreas (73%). Ultimately, as advancements in biomedical engineering continue, flow
and volume sensors will play an increasingly vital role in enhancing treatment precision,
improving patient outcomes, and shaping the future of dialysis technology.
II. FIELDS OF INTEREST TO THE SUBJECT
Flow and volume sensors are crucial in biomedical devices, ensuring precise fluid con-
trol in medication delivery and diagnostics. As medical technology continues to evolve,
flow sensors have become essential for accurately monitoring and managing fluid move-
ment in various applications. Their development, progressing from Microelectromechan-
ical Systems (MEMS) to microfluidic devices on a single chip [7], has allowed for in-
creasing efficiency and adaptability. Doppler ultrasound sensors enabled transcutaneous
blood flow measurements [8], while wearable sensors expanded to track vital signs like
heart rate and oxygen levels [9]. Meanwhile, Laser Doppler flowmetry provided a non-
invasive way to assess circulatory function, including retinal blood flow in rabbits [10].
Alongside these advancements, volume sensors have been essential in medical applica-
tions, particularly in regulating physiological functions. Relative blood volume monitor-
ing has been used to track hematocrit changes [11] and improve blood pressure regula-
tion during hemodialysis [12]. As technology advanced, bioimpedance analysis emerged
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to estimate total body water [13], while ultrasound dilution sensors measured cardiac
output in pediatrics [14]. Additionally, portable nuclear magnetic resonance improved
disease diagnosis and tumor detection [15]. Eventually, biomarker sensors introduced
biological markers like glucose detection [16], leading to portable glucose monitors for
diabetes care. The miniaturization and non-invasive design of these sensors have en-
sured high sensitivity, precision, and low power consumption, enabling broad medical
applications. This research highlights their growing role in modern healthcare, demon-
strating how engineering advancements continue to shape the medical field.
A. A Brief Review: Flow Sensors
Flow sensors in hemodialysis (HD) are critical for monitoring the rate at which fluids,
primarily blood and dialysate, circulate through the system. Among the various types,
electromagnetic flow sensors offer high accuracy by detecting voltage changes induced
by magnetic fields as blood flow through the sensor, although they tend to be costly and
technically complex. Ultrasonic flow sensors, in contrast, are widely used due to their
non-invasive nature; they measure fluid velocity using high-frequency sound waves. Op-
tical flow sensors determine flow rate by analyzing changes in light transmission through
the fluid, often leveraging suspended particles within the blood to enhance measurement
precision. Together, these technologies provide essential data for optimizing hemodialy-
sis treatment and ensuring patient safety.
B. Flow Sensor Types
Microelectromechanical Systems (MEMS) flow sensors have been developed for intra-
venous (IV) systems to measure small flow rates, such as those involved in drug deliv-
ery. One such sensor employs artificial hair cells (AHCs) on a silicon die, incorporat-
ing two differently sized AHCs designed to minimize flow disturbance [7]. The sensor
is coated with a parylene film to ensure waterproofing and compatibility with various
drugs. Doppler ultrasound flow sensors utilize diffraction grating transducers (DGTs)
made of flexible biofilm to generate low-energy optical signals, making them well-suited
for long-term implantation. These sensors enhance sensitivity by creating overlapping
ultrasonic beams [8] that detect dispersed ultrasound signals from blood flow. Wearable
flow sensors represent a noninvasive solution for real-time medical monitoring [9], inte-
grating flexible, wireless, multipoint devices that measure pulse waves, skin color, and
tissue temperature. The system includes sensors, cables, a data transmitter, and a tablet
or smartphone for data display, with installation supported by medical film dressings
and a polydimethylsiloxane sheet.
Laser Doppler flowmetry offers a noninvasive and wearable approach, using six wire-
less sensors to detect Doppler shifts from red blood cell movement, allowing simulta-
neous monitoring of blood perfusion at multiple sites [10]. Similarly, epidermal blood
flow sensors provide noninvasive, wearable monitoring of skin blood flow, effectively
adapting to sensor placement variability and tissue differences. These sensors capture
weak temperature signals associated with high-volume blood flow [2], offering continu-
ous surveillance valuable in managing end-stage renal disease (ESRD) patients. Lastly,
anemometric flow sensors also present a wearable, noninvasive solution, designed to
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detect changes in blood flow through vascular access points such as arteriovenous fistu-
las (AVF) and arteriovenous grafts (AVG) [3]. These sensors deliver immediate physio-
logical feedback with high sensitivity and have demonstrated accurate performance in
vivo studies. Collectively, these technologies underscore the progress in flow sensing
for hemodialysis and broader clinical applications, balancing precision, ease of use, and
patient comfort.
C. A Brief Review: Volume Sensors
Volume sensor analysis in dialysis plays a crucial role in monitoring and managing fluid
volumes within the dialysis system to ensure effective treatment and optimal patient
care. By accurately measuring and tracking fluid movement across various components,
such as dialysate delivery, blood flow, and ultrafiltration, these sensors help maintain
proper fluid balance and prevent complications like fluid overload or dehydration. Tech-
niques such as relative blood volume monitoring (RBVM) and bioimpedance analysis (BIA) are
commonly used to assess patient hydration status and guide real-time adjustments to
ultrafiltration rates during dialysis sessions. Two main types of volume sensors are em-
ployed: cumulative volume sensors, which continuously monitor the total volume of blood
or dialysate processed, providing essential data on fluid removal or replacement; and
real-time volume sensors, which offer instantaneous volume measurements to enable dy-
namic control and maintain equilibrium. Many of these devices also incorporate optical
technologies to measure hematocrit levels, serving as indicators of hemoconcentration
and aiding in the precise evaluation of blood volume changes. Together, these volume
sensing approaches enhance dialysis safety, personalization, and clinical outcomes.
D. Volume Sensor Types
Volume sensors represent a fundamental category within monitoring and automation
systems, allowing for the precise measurement of the quantity of liquid or gas contained
in each space. Their applications span multiple sectors, from the medical and food in-
dustries to automotive engineering and smart manufacturing processes. The choice of
the appropriate sensor type depends on factors such as the type of fluid, the required
accuracy, the operating environment, and response speed. Below are the main types of
volume sensors, their operating principles, and their advantages in different technologi-
cal contexts.
Relative Blood Volume Monitoring (RBVM) is a key technique in dialysis that tracks
changes in hematocrit [11], the ratio of red blood cells to plasma, as fluid is removed
from the patient [12]. This allows for real-time adjustments of ultrafiltration targets,
helping to prevent complications such as intradialytic hypotension by avoiding excessive
fluid removal. Bioimpedance Analysis (BIA) complements RBVM by estimating body water
compartments, including extracellular water (ECW), intracellular water (ICW), and total
body water (TBW) [13], through the measurement of the body’s electrical properties. BIA
aids in determining a patient’s dry weight and guides fluid removal strategies during
dialysis. Various BIA methods exist, including single-frequency, multi-frequency, and
bioimpedance spectroscopy (BIS), and can be applied using whole-body or segmental
approaches. Ultrasound dilution sensors provide additional fluid status insights by mea-
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suring blood flow and cardiac output, detecting changes in ultrasound wave velocity [14]
after injecting a known volume of fluid, such as saline, into the arterial line. Portable nu-
clear magnetic resonance (NMR) sensors utilize low magnetic fields [15] to quickly assess
fluid status at the bedside, offering rapid differentiation between hypervolemic and eu-
volemic states, significantly faster than conventional MRI techniques. Lastly, biomarker
sensors enable the detection and quantification of specific biological markers [16] using
technologies such as paper-based platforms, vibrating resonators, and optical detection
systems. These sensors support early disease detection, monitoring fluid overload, treat-
ment tracking, and personalized therapy, contributing to improved outcomes in dialysis
care. Collectively, these volume sensing technologies enhance the precision, safety, and
personalization of fluid management in hemodialysis.
E. Integration of Flow and Volume Sensors in the Hemodialysis Process
Flow and volume sensors integrated into dialysis machines play a crucial role in deliv-
ering safe, efficient, and individualized treatment by providing real-time data to moni-
tor and regulate both blood and dialysate flow. These sensors enable automatic system
responses to abnormalities such as low blood flow or excessive fluid removal, thereby
preventing complications like dehydration or intradialytic hypotension and enhancing
overall patient safety. In clinical hemodialysis, flow and volume sensors serve several
key functions. Monitoring blood flow is essential to maintain optimal perfusion through
the vascular access and extracorporeal circuit [17], and flow sensors help detect access
dysfunction early, ensuring treatment efficacy. Dialysate flow regulation is another critical
application, as dialysate flow rate directly impacts solute clearance; accurate monitoring
via flow sensors improves dialysis efficiency and clinical outcomes [18]. Ultrafiltration
management relies on volume sensors to precisely control the amount of fluid removed
during treatment, aiding in the achievement of patient-specific dry weight targets and
avoiding the risks of fluid overload or hypotension. Additionally, while non-flow sensors
per se, leak and air detection systems use differential flow measurements between blood
inflow and outflow to identify anomalies such as tubing leaks or air ingress, prompt-
ing immediate corrective action. Together, these sensor technologies enhance the safety,
accuracy, and personalization of dialysis therapy.
F. Dialysis Machines
Dialysis machines [19] are critical medical devices used to perform renal replacement
therapy in patients with end-stage renal disease (ESRD) or acute kidney injury. These
machines mimic the filtration function of healthy kidneys by removing waste products,
excess fluids, and toxins from the bloodstream through a semi-permeable membrane.
Hemodialysis, the most generic form, circulates blood through an external dialyzer, while
peritoneal dialysis uses the patient’s peritoneal membrane as the filtration surface. Dial-
ysis machines tightly regulate parameters such as blood flow rate, dialysate composition,
temperature, and ultrafiltration volume to ensure safe and effective treatment. Modern
systems, such as the Fresenius 5008 CorDiax and Baxter’s AK 200 ULTRA S, are equipped
with real-time monitoring, integrated sensors, and customizable treatment protocols to
improve patient outcomes. Integrated flow and volume sensors within these machines
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enhance safety by implementing air detectors, pressure monitors, and blood leak de-
tectors to minimize risks of detecting air bubbles, pressure anomalies, and blood leaks,
allowing for automatic system adjustments. Peritoneal dialysis machines, such as the
Baxter Amia, use the peritoneal membrane for filtration and are designed for home use,
offering patients greater flexibility and autonomy. Dialysis machines also store historical
treatment data, aiding clinicians in personalizing therapy and tracking patient progress
over time. The primary goal of these machines is to maintain fluid and electrolyte bal-
ance, reduce uremic symptoms, and improve survival and quality of life in patients with
compromised renal function. Continued technological advancements aim to increase ef-
ficiency, portability, and patient comfort, making dialysis therapy more accessible and
effective.
G. Method Calculations
Since this review serves as a collection of relevant research, it focuses on providing
information that supports and sustains the discussion. Among the key topics, flow rate
is widely assessed due to its versatility and extensive applications in flow and volume
sensors. Understanding this concept is essential, as equation (1) defines the relationship
between fluid velocity, cross-sectional area, and the volume of fluid passing through a
point over time [20]:
Q =
V
S
(1)
where Q represents the flow rate (e.g., blood flow), V denotes the average velocity,
and S corresponds to the cross-sectional area of the fluid (e.g., blood).
Equation (2) expands upon flow rate by incorporating volume flow rate (Q
0
), which
can be modified depending on the specific application. For instance, when analyzing
laminar blood flow in a rectangular channel, the volume flow rate is expressed as:
Q
0
=
4ba
3
3µ
d
ˆ
p
dx
1
192a
π
5
b
i=1,3,5,...
tan h
inb
2a
i
5
(2)
where b represents the width, a is the half-height of the channel, and µ signifies the
fluid viscosity. The term
d
ˆ
p
dx
refers to the pressure gradient within the channel, while
i=1,3,5,...
the summation term accounts for the influence of odd integers on the flow be-
havior. Additionally, tan h
inb
2a
represents the geometric characteristics of the channel.
Another essential equation used in flow and volume sensors is the Doppler equation
(3), primarily utilized to measure the velocity of blood flow:
f
d
=
V
λ
4
d
=
V
d
(3)
where f
d
is denotes the Doppler frequency shift, V represents the velocity of blood
flow, λ is the wavelength of the transmitted wave, and d is the distance.
In contrast to the Doppler equation, the wavelet spectrum equation (4) is applied to
evaluate signals from flow and volume sensors:
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W(s, τ) =
1
s
Z
x(t)ψ
t τ
s
(4)
where W(s, τ) represents the wavelet transform of the signal, s is the scale parameter,
x(t) is the evaluated signal, τ corresponds to the time parameter, and ψ
is the complex
conjugate of the wavelet function.
Additionally, the non-dimensional temperature equation (5) is implemented in flow
and volume sensors to adjust temperature measurements for improved accuracy:
T
nondim
=
T T
standard
T
standard
(5)
where T
nondim
represents the non-dimensional temperature, T is the measured temper-
ature, T
standard
signifies the reference temperature, and T
standard
is the difference between
two reference temperatures.
Finally, the flow sensitivity equation (6) is incorporated into flow and volume sensors
to assess their responsiveness to variations in flow rate:
Sensitivity(%) =
T
100mL/min
T
800mL/min
T
800mL/min
× 100 (6)
where T
100mL/min
represents the time change at a lower flow rate of 100mL/min, and
T
800mL/min
corresponds to the time change at a higher flow rate of 800mL/min.
H. Outcomes of flow sensors
Experiments on flow sensors provided significant insights across various applications.
For instance, MEMS flow sensors demonstrated a dynamic range of 2–200 ml/h, but
showed output saturation near 200 ml/h, while IV system testing at 0.05 ml/min con-
firmed adaptability. Additionally, Doppler ultrasound flow sensors measured veloci-
ties between 110–122 cm/s with minimal variation, though estimates deviated by 5.9%
across flow rates of 60–500 mL/min. Meanwhile, wearable flow sensors in clinical trials
achieved physician agreement rates of 96%–99.2%, with 90% of patients recommending
future use. In addition, laser Doppler flowmetry studies showed perfusion decreased
when transitioning upright, but increased in a head-down position, with forehead mea-
surements exhibiting minimal microcirculation changes. Notably, blood pressure and
heart rate were consistently higher in vertical positions. Furthermore, epidermal blood
flow sensors provided precise vascular access monitoring, showing a 12.2% deviation
from Doppler ultrasound across flow rates of 100–600 ml/min, with a compact design
suitable for hemodialysis. Lastly, anemometric flow sensors accurately monitored blood
flow in CKD patients, adapting to AVF development, vascular stenosis, thrombosis, and
access failure, while maintaining reliable performance despite minor setup imbalances.
Ultimately, in vivo studies validated their precision across different flow conditions, with
benchtop models confirming the impact of vessel structure on sensor sensitivity. These
findings highlight the essential role of flow sensors in advancing patient monitoring and
medical technology.
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I. Technological Advancements and Innovations in Sensors
Recent advancements in dialysis technology have significantly improved the perfor-
mance and integration of flow and volume sensors. Miniaturization has led to the devel-
opment of smaller, more compact sensors that can be seamlessly embedded within dial-
ysis machines, reducing the overall system size and enhancing portability. Smart sensors,
powered by AI-based algorithms, now offer predictive analytics capabilities that antici-
pate potential complications and automatically adjust treatment parameters to enhance
patient safety and optimize outcomes. Additionally, wireless monitoring has transformed
clinical practice by enabling real-time, remote access to sensor data, allowing healthcare
providers to oversee a patient’s dialysis session without being physically present. These
innovations are complemented by improved accuracy, achieved using advanced materi-
als and technologies such as high-precision electromagnetic and miniaturized ultrasonic
sensors, which ensure greater measurement reliability and clinical effectiveness.
J. Challenges and Limitations
Flow and volume sensors in dialysis systems, while essential for ensuring accurate and
safe treatment, are subject to several limitations. Sensor drift is a common issue, where
prolonged use leads to gradual loss of accuracy, necessitating routine recalibration to
maintain performance. Additionally, external interference, including fluctuations in tem-
perature, pressure, and changes in the chemical composition of blood or dialysate, can
compromise the reliability of sensor readings. Mechanical failures also pose a significant
risk; malfunctions can result in erroneous data that may threaten patient safety if not
promptly detected. Furthermore, these sensors demand consistent maintenance and clean-
ing to prevent blockages or clogs, ensuring continuous, unobstructed operation and ac-
curate monitoring throughout the dialysis process.
III. METHODOLOGY
This review focused on the assessment of mechanical and operational properties for flow
and volume sensors using a diverse range of scientific literature and academic contribu-
tions. The primary sources included peer-reviewed journal articles, doctoral and mas-
ter’s theses, and conference presentations, all provided by researchers, and recognized
scientific organizations. The objective was to gather comprehensive, high-quality infor-
mation that reflects the current state of knowledge in the field. To ensure a comprehen-
sive and inclusive literature review, an exhaustive search was conducted across Ameri-
can and European academic databases, emphasizing repositories affiliated with institu-
tions specializing in biomedical engineering. The primary search focused on publications
from 2021 to 2025 to capture the most recent advancements, utilizing databases such as
PubMed, Scopus, IEEE Xplore, EBSCOhost, Google Scholar, and ScienceDirect. These
platforms were selected for their broad coverage of biomedical and interdisciplinary re-
search, allowing the identification of high-quality peer-reviewed articles, conference pro-
ceedings, and technical reports. Supplementary information from secondary sources, in-
cluding engineering textbooks, technical manuals, handbooks, internet-based resources,
and review articles, further enriched the contextual and technical depth of the review. To
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determine the most appropriate flow or volume sensor for a given clinical setting, sev-
eral critical criteria must be considered according to the researched data evaluated from
collected references. These include performance characteristics such as accuracy and reli-
ability, and material properties like durability, biocompatibility, and ease of sterilization.
Cost factors compassing initial investment, maintenance, and operational expenses, are
also evaluated. Additionally, the simplicity of use, including training requirements and
the ease of integration into existing dialysis systems, plays an important role in sensor
selection. Real-time monitoring capabilities are essential for continuous assessment dur-
ing the dialysis process. A comparative analysis of these criteria for each sensor type is
presented in Table 1, with each criterion rated on a scale of Low, Medium, or High.
Tabla 1. Inclusion and Rejection Criteria.
Criteria Key Questions Rating (Low/
Medium/High)
Accuracy How accurate is the sensor?
What is the reliability of the sensor?
Material of What is the durability of the sensor?
Construction Is it biocompatible with other equipment?
Is it easy to sterilize the sensor?
What is the initial investment cost? Refer to Tables
Cost What is the cost of maintenance? 2 and 3 for a
What is the cost for operation? complete evaluation
How easy is it to use? of flow and
Simplicity What training does it require? volume sensor
How hard is it to integrate with the system? criteria.
Invasiveness Does it require direct access to blood or
a vascular access point?
Real-Time Does it provide real-time monitoring
Monitoring during the dialysis process?
Clinical Is it used in clinical dialysis centers or
Maturity mostly in research settings?
IV. RESULTS
Table 2 presents the flow sensor types analyzed and their distinctive characteristics,
as well as their applications in health situations based on the information collected from
the references obtained during this document’s preparation.
Table 3 presents the volume sensor types analyzed and their distinctive characteris-
tics, as well as their applications in health situations based on the information collected
from the references obtained during this document’s preparation.
According to the obtained results presented on Table 2, the best flow sensor option
for hemodialysis mentioned on this paper should be Doppler Ultrasound flow sensor
based on its high accuracy, real-time performance, non-invasive characteristics and clin-
ically validated use. These characteristics prove the effectiveness in dialysis clinics for
vascular access flow surveillance and early detection of complications like thrombosis
and stenosis. For the other hand, MEMS flow sensors and wearable devices could en-
hance monitoring, especially for continuous, home-based settings, but they need more
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Tabla 2. Flow Sensors Results.
Sensor Type
Accuracy
Durability
Cost
Ease
Invasive
Real-Time
Maturity
Clinical Application
MEMS H M H L L M L Experimental implantable blood flow
monitors
Doppler
Ultrasound
H H M M L H H Vascular access blood flow measure-
ment, stenosis detection
Wearable M M M–H H L L L Home/outpatient vascular monitor-
ing
Laser Doppler
Flowmetry
L H H M L M L Monitoring superficial skin blood
flow; not suitable for hemodialysis
circuits
Epidermal L–M H H L L H L Skin perfusion monitoring, future
vascular access checks
Anemometric M M L–M H L H M Prototypical dialysis blood flow mon-
itoring
Legend: H = High, M = Medium, L = Low
Tabla 3. Volume Sensors Results
Sensor Type
Accuracy
Material Durability
Cost (USD)
Ease to Use
Invasiveness
Real-Time Monitoring
Clinical Maturity
Clinical Application
RVBM M–H H L–M H L H H Intradialytic blood volume tracking
to prevent hypotension
BIA M H L H L L H Assessment of fluid overload pre-
/post-dialysis
Ultrasound
dilution
H H M–H M L M M–H Blood volume and cardiac output
monitoring during dialysis
NMR H H H L L L L Detailed body composition and hy-
dration state
Biomarker M M M–H M L M L Monitoring biochemical markers re-
lated to hydration (natriuretic pep-
tides)
Legend: H = High, M = Medium and L= Low
validation and ruggedization. Corresponding to obtained results presented on Table 3,
the best volume sensor option for hemodialysis mentioned on this paper should RBVM
(Relative Blood Volume Monitoring) volume sensor based on its real-time performance,
non-invasive characteristics, cost-effective and clinically validated use. These character-
istics prove the effectiveness for blood volume management during hemodialysis. For
the other hand, Biomarker sensors and advanced NMR techniques could enhance fluid
management in the future but are not yet practical for routine use. Along the course of the
review, it was found that sensor accuracy is directly linked with sensitivity. This means
that at a higher sensitivity, it can increase the performance of the sensor. In hemodialysis
the incorporation of these sensors is crucial, because it can guarantee the well-being of
the patient and at the same time ensure treatment effectiveness.
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CONCLUSIONS
The review covered a comprehensive range of topics centered on flow and volume sen-
sors and their applications in hemodialysis treatment. Each sensor type demonstrated
specific strengths and limitations under various clinical conditions, yet all effectively ful-
filled their intended roles in accurately monitoring blood flow and fluid dynamics. Flow
and Volume sensors play a vital role in enhancing the precision of fluid management,
thereby contributing to improved patient outcomes. The selection of an appropriate sen-
sor depends on a combination of clinical requirements, resource availability, and cost
considerations. Continued advancements in sensor technologies, especially regarding
integration with dialysis systems and real-time monitoring capabilities, offer promis-
ing prospects for further improving the safety, efficiency, and overall effectiveness of
hemodialysis therapy.
Moreover, interdisciplinary research efforts and collaborations between medical de-
vice manufacturers and healthcare providers are essential to accelerate innovation in this
field. Future developments should focus on miniaturization, increased sensor sensitivity,
and seamless integration with automated control systems to facilitate personalized treat-
ment protocols. Such advancements will not only optimize hemodialysis procedures but
also enhance patient comfort and reduce long-term healthcare costs.
Additionally, emerging trends emphasize the incorporation of artificial intelligence
and machine learning algorithms into sensor technologies, enabling predictive analytics
for early detection of complications such as clot formation, vascular access dysfunction,
and fluid overload. These intelligent systems, already under exploration in advanced
healthcare centers worldwide, have the potential to revolutionize hemodialysis manage-
ment by providing data-driven insights for personalized treatment adjustments in real
time. As seen in recent studies from leading institutions in the United States, Germany,
and Japan, this technological convergence is paving the way for more adaptive and re-
silient dialysis systems, ultimately aiming to improve survival rates and quality of life
for patients undergoing long-term treatment.
ACKNOWLEDGEMENT
We would like to express our sincere gratitude to the academic institution Polytechnic
University of Puerto Rico for the support and guidance throughout the development of
this review. Their assistance has been relevant in influencing the success of this work.
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