Annica Kristoffersson

Annica Kristoffersson

Mälardalens högskola

H-index: 18

Europe-Sweden

About Annica Kristoffersson

Annica Kristoffersson, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Mälardalens högskola, specializes in the field of health technology, biomedical engineering, human-robot interaction, mobile robotic telepresence, interaction quality.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data Mining

State of the art of non-invasive technologies for bladder monitoring: a scoping review

Edu-Mphy: A Low-Cost Multi-Physiological Recording System for Education and Research in Healthcare and Engineering

A taxonomy of factors influencing perceived safety in human–robot interaction

Towards providing type-2 diabetes patients with homogenous information on physical activity

A novel fiducial point extraction algorithm to detect C and D points from the acceleration photoplethysmogram (CnD)

Clinical Sensor-Based Fall Risk Assessment at an Orthopedic Clinic: A Case Study of the Staff’s Views on Utility and Effectiveness

Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring

Annica Kristoffersson Information

University

Position

Associated Senior Lecturer School of Innovation Design and Engineering

Citations(all)

1345

Citations(since 2020)

820

Cited By

791

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

23

i10Index(since 2020)

18

Email

University Profile Page

Mälardalens högskola

Google Scholar

View Google Scholar Profile

Annica Kristoffersson Skills & Research Interests

health technology

biomedical engineering

human-robot interaction

mobile robotic telepresence

interaction quality

Top articles of Annica Kristoffersson

Title

Journal

Author(s)

Publication Date

Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data Mining

Sensors

Samaneh Zolfaghari

Annica Kristoffersson

Mia Folke

Maria Lindén

Daniele Riboni

2024/2/21

State of the art of non-invasive technologies for bladder monitoring: a scoping review

Abdelakram Hafid

Sabrina Difallah

Camille Alves

Saad Abdullah

Mia Folke

...

2023/3/2

Edu-Mphy: A Low-Cost Multi-Physiological Recording System for Education and Research in Healthcare and Engineering

Hafid Abdelakram

Saad Abdullah

Annica Kristoffersson

2023

A taxonomy of factors influencing perceived safety in human–robot interaction

International Journal of Social Robotics

Neziha Akalin

Andrey Kiselev

Annica Kristoffersson

Amy Loutfi

2023/12

Towards providing type-2 diabetes patients with homogenous information on physical activity

Annica Kristoffersson

Anna Åkerberg

Mia Folke

2023

A novel fiducial point extraction algorithm to detect C and D points from the acceleration photoplethysmogram (CnD)

Electronics

Saad Abdullah

Abdelakram Hafid

Mia Folke

Maria Lindén

Annica Kristoffersson

2023/2/28

Clinical Sensor-Based Fall Risk Assessment at an Orthopedic Clinic: A Case Study of the Staff’s Views on Utility and Effectiveness

Maria Ehn

Annica Kristoffersson

2023/2/8

Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring

Abdelakram Hafid

Saad Abdullah

Maria Lindán

Annica Kristoffersson

Mia Folke

2023/6/22

Machine learning approaches for cardiovascular hypertension stage estimation using photoplethysmography and clinical features

Frontiers in Cardiovascular Medicine

Saad Abdullah

Annica Kristoffersson

2023

Machine learning-based classification of hypertension using CnD features from acceleration photoplethysmography and clinical parameters

Saad Abdullah

Abdelakram Hafid

Maria Lindén

Mia Folke

Annica Kristoffersson

2023/6/22

Real-Time Portable Raspberry Pi-Based System for Sickle Cell Anemia Detection

Saad Abdullah

Hafid Abdelakram

Annica Kristoffersson

Muhammad Bilal Saeed

Samreen Saad

2023

PPGFeat: a novel MATLAB toolbox for extracting PPG fiducial points

Frontiers in Bioengineering and Biotechnology

Saad Abdullah

Abdelakram Hafid

Mia Folke

Maria Lindén

Annica Kristoffersson

2023/6/9

Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures

International journal of human-computer studies

Neziha Akalin

Annica Kristoffersson

Amy Loutfi

2022/2/1

A systematic review of wearable sensors for monitoring physical activity

Annica Kristoffersson

Maria Lindén

2022/1/12

Guidelines for Identifying Factors Influencing Perceived Safety in Human-Robot Interaction

Neziha Akalin

Annica Kristoffersson

Andrey Kiselev

Amy Loutfi

2022

Performance and characteristics of wearable sensor systems discriminating and classifying older adults according to fall risk: A systematic review

Annica Kristoffersson

Jiaying Du

Maria Ehn

2021/8/31

Health Trend Monitoring by Embedded Sensor Systems for Health

Maria Lindén

Annica Kristoffersson

Mats Björkman

2021

Wearable sensors for monitoring and preventing noncommunicable diseases: A systematic review

Annica Kristoffersson

Maria Lindén

2020/11/6

A systematic review on the use of wearable body sensors for health monitoring: a qualitative synthesis

Annica Kristoffersson

Maria Lindén

2020/3/9

See List of Professors in Annica Kristoffersson University(Mälardalens högskola)